Remote Dev Jobs
66 jobs available
Genesis10 · 🇺🇸 United StatesRemote3w ago
Genesis10 is currently seeking a Backend AI Engineer - Remote for a contract position with a Global Medical Technology Company located in San Diego, CA. This is a 12 month contract opportunity. This position is 100% remote. Compensation: $43.00 - $53.00 per hour, W2, based on qualifications Position Overview: This role focuses on developing and implementing generative AI solutions, including building robust RAG pipelines, fine-tuning LLMs, and creating high-performance APIs. The ideal candidate…
Valsoft CorporationRemote3w ago
Headquarters: Canada Description Lighthouse Software Group is an operating group of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft acquires and builds mission-critical software companies serving highly specialized industries and holds them for the long term. With 150+ companies and 4,000+ employees across 20+ countries, Valsoft’s decentralized model empowers businesses to operate independently while benefiting from operational best practices and long-term capital. Lighthouse is responsible for sourcing, acquiring, and operating vertical market software companies globally. As we continue to grow, we are seeking driven individuals who want to join the team! About the Role We are looking for an AI-native full stack engineer to join one of the leading software companies within our portfolio. Our platform powers mission-critical workflows for organizations that depend on it every day, and we are actively expanding it through AI capabilities and entirely new software products. This role is designed for engineers early in their careers who want to build a lot, learn quickly, and take real ownership. You will work across both an established production platform and new AI-driven products. We are especially interested in people who see themselves as builders. The best candidates are curious, ambitious, and constantly experimenting with new tools. They build side projects, explore AI models, and look for opportunities to improve systems rather than waiting for instructions. You will work closely with a senior engineer who has built and scaled production systems and will provide direct mentorship as you grow. As the engineering team expands, there is also a clear leadership runway for someone who wants to take increasing ownership and eventually help lead the team. This is a profitable, stable company with real customers and real infrastructure. The company operates within Lighthouse Software Group, part of Valsoft, a global
EdfinityRemote3w ago
Headquarters: Austin, TX URL: https://edfinity.com About Edfinity Edfinity is the category leader in courseware and assessment technology for higher-ed STEM. We're NSF-supported, bootstrapped, and built by a close-knit remote team of senior engineers. We're growing fast and leading the field in AI-powered courseware that moves the needle on educator productivity and student outcomes. Your work will reach hundreds of institutions, and you will help decide how it gets built. How we work We're fully remote, with team members distributed across the US, and with that comes personal flexibility and accountability. AI agents produce most of our code. We move fast, but we temper velocity with quality and stability above all else. Engineers frame the problems, direct the work, and are accountable for everything that ships. If you already work this way and have opinions about it, you'll feel at home. Everyone has opportunities to work across different areas of the platform, and team members are expected to develop deep technical expertise over time. This is particularly important as we step away from hands-on coding. We're a small team of collaborative senior engineers. Your opinion matters. The pace of change is real. More than ever, we're continually evolving our tooling and workflows as LLMs become more capable. What you’ll be doing Our stack is Ruby on Rails, MongoDB, Elasticearch, ClickHouse, Redis/Sidekiq, and React. Full-stack product development in areas like assessment authoring, delivery, and grading; educator and student-facing features; LMS integrations LLM-powered features, from prompt architecture to auto-grading to eval infrastructure Performance optimization and reliability refactoring to handle both day-to-day load and high-stakes spikes Stewardship of a mature codebase: upgrades, migrations, and paying down technical debt methodically Part-time technical support rotation. Customer happiness is extremely important to us. What you'll need 8-15 years building a
SamsaraRemote3w ago
Headquarters: Remote URL: https://www.samsara.com/ About the role: Samsara (NYSE: IOT) sits at the center of hardware, software, AI, and the physical world. The platform processes 25+ trillion data points annually from IoT sensors, cameras, and connected devices across thousands of organizations, and that dataset is compounding: it grew from 4 trillion to 25+ trillion in four years. We're still early in turning that data into the products that will define how physical operations run, and we're hiring the engineers who will build what comes next. We're approaching ~$2B ARR growing 30%+ year over year, with 96% of our largest customers on two or more products. The fastest-growing divisions at Samsara are tackling the hardest, most ambiguous problems at the company: building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage fleets, and run day-to-day operations. Most of this work is zero-to-one, at billion-dollar scale. We're looking for software engineers who want to define what ships next. Leveling is broad and flexible: we're hiring from Senior through Staff+, across platform and product, and we're open to shaping scope around the right person's strengths and interests. That window won't stay open long. This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world. The software you build will have real-world stakes: helping keep the lights on, getting food into grocery stores, keeping workers safe. What ships here isn't metrics on a dashboard. It shows up on the loading dock, the job site, and the dispatch floor. You want to build, not maintain. Samsara is in full growth mode. We're building new systems from scratch, not babysitting old ones. You'd own entire problem spaces end to end, with the autonomy to set direction from d
Oracle Corporation · 🇺🇸 United StatesRemote4w ago
Job Description At Oracle Health, we're building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement. We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden. We're…
GrailedRemote1mo ago
Headquarters: Remote US Role Overview We’re looking for a Senior Software Engineer - Backend, to solve complex problems gracefully, grow scalable systems, and help to shape our technical vision. As a Senior Software Engineer, you’ll take an active role in breaking down projects into tasks, as well as the implementation methods used. We are solving a wide range of technical challenges as we power a leading fashion marketplace. This is an opportunity to join a team of smart, thoughtful engineers with a clean, robust tech stack. We are organized into cross-functional squads, where you’ll get to use some skills you already know, learn new ones, and help take the team to the next level. We are community driven, and supporting our sellers is critical as our marketplace continues to grow and thrive. In this role, you will: Work closely with product managers, designers, and other engineers to build features and improvements Extend our API and back-end systems Interface directly with our PostgreSQL cluster Add to and improve our testing environment Solve challenges in architecture, security, anti-fraud, performance, scalability, personalization, optimization, payments and more Be a helpful and supportive presence on the team, contributing to code reviews and other team processes Keep up with the latest development trends in server-side technologies Mentor and sponsor other engineers in your areas of expertise Coordinate and communicate seamlessly across other technical and product teams Be part of an on-call rotation Use LLMs, when appropriate, to improve the product and development workflows We are looking for: 4+ years of engineering experience. Experience building, maintaining, or architecting one or more production web applications. Knowledge of and opinions on API design, database design, naming, and simplifying complex services. Understanding of operational concerns such as deployment, migrations, configuration, and provisioning. Professional experience with the techno
ToptalRemote1mo ago
Headquarters: Summary: We are seeking an experienced Python Backend Developer to design, build, and deploy scalable AI-powered applications using Retrieval-Augmented Generation, large language models, and agentic AI frameworks. The role will focus on delivering a production-grade RAG system and AI chatbot that can securely integrate with enterprise data, APIs, databases, and cloud services. General information: The organization is developing an AI-powered platform and requires an experienced individual contributor to build its RAG architecture and conversational AI capabilities. The developer will work closely with a distributed team and should be available for several hours of overlap with US working hours. The project involves designing AI systems that go beyond basic prompt engineering, including multi-step workflows, autonomous agents, vector search, knowledge retrieval, memory management, and tool integration. The solution must be scalable, secure, observable, and suitable for production use. The technology environment includes Python, FastAPI, large language models, LangGraph, LangChain, vector databases, Azure AI services, AWS, Docker, Kubernetes, and microservice-based architectures. Task and deliverables: Design the end-to-end architecture for a scalable RAG system and AI chatbot. Develop Python backend services, REST APIs, and microservices using FastAPI or similar frameworks. Build document ingestion, chunking, embedding, indexing, retrieval, and reranking pipelines. Implement vector search solutions using Azure AI Search or comparable vector databases. Design autonomous AI agents capable of planning, reasoning, tool usage, and decision-making. Develop multi-step AI workflows using LangGraph, LangChain, CrewAI, AutoGen, or similar orchestration frameworks. Integrate commercial and open-source LLMs, including Azure OpenAI, OpenAI, Anthropic Claude, Gemini, and comparable models. Implement conversation memory, session management, context management, and age
LatticeRemote1mo ago
Headquarters: Remote - Canada Location Requirement: This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces. This is Engineering at Lattice Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product experience, ensuring those systems are trustworthy, measurable, and continuously improving is one of the company's most important engineering challenges. The AI Intelligence Quality (IQ) team owns that challenge. We build the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence. The platform you lead won't power a single product—it will shape the quality of every AI experience we deliver, becoming a foundational capability for how AI is built at Lattice. What You Will Do Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning. Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments. Partner closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice. Lead the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences. Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions. Build strong cross-functional partnerships and influence engine
Sport Alliance GmbH · 🇩🇪 GermanyRemote57y ago
Join Sport Alliance and help build the data platform behind Magicline and Finion, serving thousands of gyms and 10M+ members. You'll tackle real engineering challenges, from high-volume data modeling and cost-efficient warehousing to freshness trade-offs and financial data that has to be exactly right. We're building an AI-first data team. We use cutting-edge LLMs and internal tools to work faster, and we expect you to use and improve them. The platform you build powers our AI and analytics, making clean, reliable, well-modeled data essential. Whether you're an experienced engineer ready to own the platform or a strong mid-level engineer eager to grow into the role, we'd love to hear from you. Your position in our team Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow. Design and evolve the data models that power analytics, operational use cases, and AI/ML across thousands of studios. Help raise the bar on data reliability — embed governance, testing, and lineage so both people and AI systems can trust the numbers by default. Partner with product, and other engineering teams to turn ambiguous business problems into robust data solutions. Evaluate and evolve new approaches with us — data mesh patterns, and emerging AI tooling — and help decide what genuinely earns a place in our stack. Grow into our financial and regulatory reporting workstream (Finion Capital), where correctness and auditability matter most. Your profile 3+ years in data engineering with a focus on data warehousing — and the appetite to take on more ownership than you've held so far. Strong SQL and Python for data work. Working with AI tools feels natural to you — and, just as important, the judgment to review and validate what they produce. You treat AI output as a draft to verify, not an answer to trust, especially where correctness is non-negotiabl
atlantic.vc · JobRemote57y ago
This is an Atlantic portfolio venture. About the Venture We are building a new path to fusion energy. Every major leap in human civilisation has followed a breakthrough in energy, from fire to steam to electricity, and we believe fusion is the next one. Our bet is that it will not come from building bigger machines. It will come from controlling matter with enough precision that fusion becomes a manufacturable technology, atoms aligned exactly enough that fusion happens under controlled conditions, on a chip. This is a semiconductor-scale path to clean power, and our stance is precision over brute force. We start in physics and simulation, then build the physical proof. About the Role Reaching a chip-scale approach means working through physics and simulation at a depth that is hard to reach by conventional means, and to do that we need a new class of scientific intelligence. You will work directly with the founders to design that system from the ground up: an AI-driven research platform that can read papers, connect ideas across disciplines, orchestrate simulations, evaluate hypotheses and learn from results. This is not a chatbot or prompt engineering role, and we are not building a foundation model or competing with OpenAI, Anthropic or Google. We believe these systems will need richer representations than today's token-prediction models, so you will help explore new architectures for scientific reasoning, memory, hypothesis generation and autonomous discovery. The better that system works, the faster we get to the physical proof. What you'll do Design multi-agent research systems and the orchestration that ties them together Build long-term memory architectures for scientific reasoning Create paper ingestion and knowledge extraction pipelines Develop scientific reasoning workflows and connect AI agents to simulation environments Build autonomous experiment and evaluation loops Design retrieval, planning and orchestration systems Integrate state-of-the-art LLMs a
prolific · RemoteRemote57y ago
<h1 style="text-align: center;"><span style="color: rgb(126, 140, 141);"> <span style="font-family: tahoma, arial, helvetica, sans-serif;">AI Research Engineer</span></span></h1> <p style="text-align: center;"><span style="color: rgb(126, 140, 141); font-family: tahoma, arial, helvetica, sans-serif;"> </span><span style="font-family: tahoma, arial, helvetica, sans-serif;"> </span></p> <p style="text-align: center;"><span style="color: rgb(126, 140, 141); font-family: tahoma, arial, helvetica, sans-serif;"><em> Prolific</em></span></p> <p style="text-align: left;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.</span></p> <p style="text-align: center;"><span style="color: rgb(126, 140, 141); font-family: tahoma, arial, helvetica, sans-serif;"><em> </em></span></p> <p style="text-align: center;"><em>The Role</em></p> <p><br>Prolific AI Research (PAIR) is the AI research group at Prolific (<a href="https://labs.prolific.com/">https://labs.prolific.com/</a>). We work on the science of evaluation: how to measure AI systems well, grounded in real human judgement at population scale. We are seeking a Research Engineer to conduct innovative research in key AI areas including evaluation methodologies (particularly those grounded in human data), alignment techniques, and synthetic data generation. You'll bridge the gap between cutting-edge AI research and practical applications, helping to translate research insights into valuable products and services. As part of our commitment to contribute to the wider AI community, you'll be involved in writing papers that advance the field. Your work will directly impact how we understand,
Forgd Ai · 🇬🇧 United KingdomRemote57y ago
Forward Deployed Engineer (FDE) Remote / 20% Travel About forgd forgd is the consultancy partnering exclusively with Anthropic to help enterprises build AI-native businesses. We start with engineering — helping organizations move from individual developers using Claude Code to entire teams shipping together with AI-native workflows — and expand into agentic solution delivery and broader business transformation. Our conviction is that engineers are uniquely positioned to lead this transformation. The strongest mental model for designing, deploying, and governing AI agents in production lives in software engineering. The teams that change how their organization builds software are the same teams equipped to shepherd the rest of the business into this new world. We embed and co-build with customer teams. Cycles are short, delivery is iterative and accountable to clear outcome goals. About the Role As an FDE, you embed with enterprise customers and own the technical work across the full customer journey — initial demos, short proof-of-value engagements, and multi-week implementations. The work moves customers from interesting prototypes to production capability. Most engagements start in engineering. You'll work with customer engineering teams adopting Claude Code and redesigning their SDLC — code review, requirements, testing, documentation, and governance. From there, the work expands: co-building agentic applications and modernizing legacy systems on the Claude developer platform, and partnering with business stakeholders to deploy agents into core operations like sales, customer service, and finance. You're the expert in the room on how engineers work with Claude Code, what an agentic application looks like in production, and what has to change in an organization to sustain either. You build prototypes, ship code, run workshops, write specs, and make the calls that move customers from demos to deployment. Collaborate directly with Anthropic on customer engagements —
Real Digital · oder KölnRemote57y ago
Anstellungsdetails Permanent Contract, Full- or Part-Time, Remote or Cologne / Düsseldorf / Darmstadt / Berlin Info Who we are We are the tech powerhouse behind Kaufland’s international online marketplaces and a company within the Schwarz Group. Driven by a start-up mentality and working on an equal footing within flat hierarchies, we develop the best marketplace solutions for our customers, sellers and partners. #FromEuropeForEurope The Internationalization team at Kaufland e-commerce plays a crucial role in expanding our online marketplaces into new countries. To do this, we increasingly rely on automated processes and scalable technical solutions to enter new markets quickly and efficiently. The team works cross-functionally with all areas of the company to ensure our international success. Aufgaben Your tasks – this is what awaits you in detail You turn business processes into automated, self-serve solutions — from discovery to rollout, partnering closely with business departments to analyze and redesign existing workflows You design and optimize AI-driven solutions, drawing on strong, hands-on expertise in modern LLMs and the surrounding ecosystem to ensure they perform reliably at scale You collaborate with our Center of Excellence for Automation to propose, prioritize, and lead initiatives that improve our automation and AI platforms You work cross-functionally with technical experts, product managers, and business leaders to share best practices, document patterns, and enable self-serve automation across the company You define and track the metrics that prove the automation is working, and optimize against them Profil Your profile – this is what we expect from you Product Mindset: You have experience in product ownership or agile project management, with a track record of gathering requirements, prioritizing backlogs, and balancing quick wins with long-term scalability Proactive Problem Solver: You don't just take orders; you actively identify bottlenecks an
Gismart · RemoteRemote57y ago
About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team consists of 250 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: D eliver what matters R espect and support others I nitiate and own V oiceopenly E xecute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com . About project FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise. Key qualifications 1+ years of commercial JavaScript/Node.js development experience. Confident working with REST APIs of third-party services. Experience with a low-code automation platform — n8n, Make, Zapier, or similar. Experience with Airtable or a similar low-code database. Experience integrating LLMs into workflows (OpenAI, Claude, or others). Understanding o
Bjak · 🇩🇪 GermanyRemote57y ago
About BJAK The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name. Started in 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, its the leading insurance platform in Southeast Asia. Today, we are expanding ways to help people in the region — this includes spending, saving, investing, exchanging, travelling, and more. Our mission is help people get more from their money every day. We have teams working around the world, with over 20 nationalities from our offices and remotely, who truly enjoys their work. We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few. If you're this person, we'd love to talk to you. The Role BJAK is building a AI Stockbroking Superapp for Southeast Asia across payments, remittance, insurance, wealth, and trading. These products move real money. Reliability, regulatory requirements, and third-party financial rails are fundamental to the product - not considerations around the edges. The Technical Product Manager owns a product vertical end-to-end , from strategy and outcomes through technical design, delivery, and launch. We are AI-native by default, but AI is a means, not the goal. The bar is knowing where AI genuinely improves an outcome, where deterministic systems must remain in control, and how to build products that are reliable, auditable, and trusted. What You'll Own Owning a product vertical end-to-end, including strategy, metrics, roadmap, priorities and delivery. Shaping technical design with engineering across APIs, data flows, ledgering, reconciliation, failure handling, security and scalability. Dr
Bjak · 🇩🇪 GermanyRemote57y ago
About BJAK The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name. Started in 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, its the leading insurance platform in Southeast Asia. Today, we are expanding ways to help people in the region — this includes spending, saving, investing, exchanging, travelling, and more. Our mission is help people get more from their money every day. We have teams working around the world, with over 20 nationalities from our offices and remotely, who truly enjoys their work. We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few. If you're this person, we'd love to talk to you. The Role BJAK is building a AI Stockbroking Superapp for Southeast Asia across payments, remittance, insurance, wealth, and trading. These products move real money. Reliability, regulatory requirements, and third-party financial rails are fundamental to the product - not considerations around the edges. The Technical Product Lead owns a product vertical end-to-end , from strategy and outcomes through technical design, delivery, and launch. We are AI-native by default, but AI is a means, not the goal. The bar is knowing where AI genuinely improves an outcome, where deterministic systems must remain in control, and how to build products that are reliable, auditable, and trusted. What You'll Own Owning a product vertical end-to-end, including strategy, metrics, roadmap, priorities and delivery. Shaping technical design with engineering across APIs, data flows, ledgering, reconciliation, failure handling, security and scalability. Drivi
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany. As an Senior AI Engineer at Eraneos, you’ll combine the worlds of data science, machine learning, software engineering and consulting. Your mission is to develop and operationalize AI models that deliver measurable impact for our clients. You collaborate closely with stakeholders to understand business problems, transform them into data-driven approaches, and translate insights into production-ready end-to-end solutions. You’ll design, implement, and evaluate AI- and ML use cases– from classical ML to cutting-edge LLMs – and ensure their robust deployment and monitoring in real-world environments. Alongside building prototypes, you focus on MLOps practices, software development, and integration, ensuring reproducibility, scalability, and continuous improvement of AI systems. You communicate your results with clarity and confidence to technical and non-technical audiences alike, making complex solutions understandable and actionable. You enjoy thinking beyond the short-term implementation level to create lasting impact for our clients' business. Who you are You have proven experience in data science, statistics, machine learning, software engineering, and / or applied AI projects
SoSafe · 🇬🇧 United KingdomRemote57y ago
SoSafe has the ambition to become the leading human risk management provider in Europe. Our award-winning awareness platform triggers behavioural change by providing effective and engaging training and simulations on cybersecurity and data protection. Cybercrime is costing the world >$10 trillion annually and growing by 15% p.a. - we invite you to be part of the solution!" Location: UK, Ireland, or Portugal. Candidates must have work authorization in one of these countries. Office access available in London, Dublin, and Lisbon. Here's how you'll make a difference: Own the transformation layer in dbt - design, build, and maintain modular, well-tested data models that define how data is structured and consumed across the company. Define and implement core business metrics (e.g. activation, engagement, retention) as reusable, versioned data assets- ensuring consistent definitions across analytics, product, and AI use cases. Model complex SaaS data by integrating product events, CRM (Salesforce), and support data into clean, well-defined fact and dimension models. Build and evolve our semantic layer - creating a reliable abstraction over our data that enables consistent KPI definitions and supports downstream consumers, including LLM-based analytics agents. Collaborate with Data Engineers on upstream data contracts and event schemas - ensuring raw data is structured in a way that supports scalable, reliable analytics. Establish and enforce best practices in testing, documentation, and data quality- making these part of the standard development lifecycle. Document models, metrics, and lineage clearly - enabling self-service and reducing ambiguity across teams. What you bring: 5+ years in analytics engineering or data engineering with a strong focus on data modeling Strong proficiency in dbt and SQL- building modular, well-tested models Solid understanding of dimensional modeling and metric design Experience working with cloud data warehouses (BigQuery, Snowflake, or Reds
memodio · PotsdamRemote57y ago
memodio is a digital health application (DiGA) fighting forgetfulness and dementia 🧠 Our app is prescribed by doctors, fully reimbursed by German statutory health insurance, and recommended by leading medical associations. In a clinical trial with 140 participants, we showed that it measurably improves memory performance, everyday independence, and quality of life. More than 10,000 people already trust memodio. We've been on the market for over five years. So we have the speed and ownership culture of a startup, without the chaotic early days: a validated product, paying reimbursement partners, and real users who notice when we ship something good. Now we're growing the engineering team. Where you sit: anywhere in the world. We're a small distributed team, not a company with a remote policy bolted on. The one requirement is overlap: at least four hours of your working day between 09:00 and 18:00 Berlin time, because we solve problems together, not by throwing tickets over a wall. How you join us: as an employee or as a freelancer, whichever fits your situation better. Tell us which you'd prefer when you apply. Tasks Our core product is live and helping thousands of people, but it's far from finished. A big part of this role is evolving the existing app to better fit the people who actually use it: adults aged 50+, often dealing with early-stage cognitive decline. Every improvement you make has a direct, visible effect on someone's day. Beyond the core product we're building new and adjacent products, including ones with AI capabilities. If working with LLMs excites you, there's real room to shape that. If it doesn't, that's fine too. How the role works You won't get finished designs and implementation specs to execute. You'll get problems, context, and user needs and the freedom to figure out the best solution. That's deliberate: it's where the creativity and the ownership live. It also means the job asks you to think about what to build, not only how . Today our C
Eticor GmbH · HomeofficeRemote57y ago
Die Prämisse: Code ist kein Asset, Code ist Liability. Wir suchen keinen Entwickler, der stolz auf die Anzahl seiner geschriebenen Zeilen ist. Wir suchen einen Architekten, der versteht, dass Vibe Coding (nach Karpathy u.a.) die Abstraktionsebene fundamental verschoben hat. Deine Arbeitseinheit ist nicht mehr die Funktion, sondern der Agentic Workflow . In unserem Legal-Compliance-Umfeld ist Qualität nicht verhandelbar. Deine Aufgabe ist es, probabilistische Coding-Agents (LLMs) so zu orchestrieren, dass sie deterministische, auditsichere Software für .NET und React liefern. Der Tech Stack & Die Toolchain Wir operieren am „Bleeding Edge“ der Produktivität. Du bringst dein eigenes AI-Setup mit oder definierst unseres neu. Infrastructure: Terraform Core: .NET 9/10, React (TypeScript). Data: MS-SQL (als System of Record) Deine Werkzeuge: Du arbeitest täglich mit Tools wie Claude Code, Cursor , Windsurf und probierst auch gerne Neue aus Deine Aufgaben Die KI schreibt den Boilerplate, du löst die Hard Problems des Vibe Codings Du entwickelst Lösungen & Strategien die helfen, Halluzinationen in der Business-Logik (C#) mathematisch auszuschließen. Du optimierst das „Working Memory“ deiner Coding-Agenten , sodass Datenbankschemata und legacy Code nutzbar sind, ohne den Kontext zu sprengen. Du verhinderst, dass die Infrastructure sich unbemerkt vom Soll-Zustand entfernt, wenn deine Agenten autonom Terraform-Skripte anpassen Du findest elegante und effektive Wege, KI-generierten Code zu reviewen und das “human-in-the-loop-bottleneck” so groß wie möglich zu machen Dein Profil Du bist ein Alter Hase in .NET und React und erkennst Anti-Patterns, bevor der Linter anschlägt Du hast ein tiefes und breites Verständnis von Softwarearchitektur, Patterns und ihren jeweiligen Vor- und Nachteilen Du du denkst in Rules und Chain-of-Thought-Vorgaben, die sichern, dass KI unseren Guidelines und Sicherheitsstandards folgt. Du arbeitest gerne im Team und genießt es, im SCRUM gemeinsam anzupac