Remote Dev Jobs
125 jobs available
GleanRemote1w ago
Headquarters: Remote - US About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft
GleanRemote1w ago
Headquarters: Remote - US About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft
Sierra Business Solution LLC · 🇺🇸 United StatesRemote2w ago
Summary Build and scale a production multi-agent AI platform serving thousands of internal users across multiple business units. Monthly release cadence, real users, real latency, real cost. Responsibilities LLM-driven orchestrator that routes user intent across a portfolio of specialized agents delegation, memory, response validation, capability discovery. Agent selection layer hybrid retrieval (vector RAG over a capability registry) plus closed-set LLM selection with JSON-schema-constrained o…
AbnormalRemote2w ago
Headquarters: Remote - USA About the Role Abnormal AI is looking for an Application Security Engineer II to secure the AI-powered systems at the core of our AWS-based platform (LLM-integrated features, agentic workflows, MCP connectors, and the model supply chain) against threats like prompt injection at production scale. This is an individual contributor role that blends deep application security expertise with strong engineering fundamentals. You'll focus on integrating security into every phase of our software development lifecycle, conducting comprehensive security reviews, and partnering with engineering teams to build defensible architectures. You will own the security architecture and development of secure coding practices while ensuring security is a foundational partner to our engineering stakeholders. You'll coach developers across the engineering organization on application security principles, act as a technical liaison across teams, and contribute directly to keeping our applications and customers secure. This role reports to the Director of Security Engineering. What you will do Lead threat modeling and security architecture reviews with engineering teams by translating security risks into concrete development actions, with particular focus on AI-powered features (LLM integrations, agentic workflows, MCP connectors). Architect, build, and maintain security tooling and integrations that make secure development the default in our CI/CD pipelines. Design and deploy automated security testing to identify vulnerabilities early in the development process. Serve as a hands-on technical contributor during security incidents by analyzing application-level behavior and enhancing response processes. Coach developers on secure coding, security architecture, and threat modeling for AI-native systems. Define and track key security posture metrics, building dashboards or reports to visualize security coverage and vulnerability trends. Must Haves 5+ years of experienc
MirantisRemote3w ago
Headquarters: Austin, TX, USA Company Description Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/ Job Description Develop and maintain core positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio. Translate highly technical product capabilities — GPU cluster orchestration, multi-cluster Kubernetes management, MLOps pipelines — into audience-specific narratives for practitioners, platform engineers, and C-suite buyers. Own the competitive intelligence function: track competitors including Red Hat OpenShift AI, NVIDIA Base Command, Rancher/SUSE, VMware Tanzu, and emerging AI cloud providers; produce battlecards, comparisons, and win/loss analysis. Produce a steady cadence of high-quality technical content: solution briefs, white papers, blog posts, use case studies, reference architectures, and demo scripts. Partner with solution architects and product managers to develop technical content that educates buyers on AI infrastructure patterns, including LLM inference at scale, GPU scheduling, and developer platform self-service. Support demand generation campaigns with compelling assets a
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
SurRemote3w ago
Headquarters: Mexico City, Mexico City, Mexico As the Full-stack Developer you will help lead the charge of the mission to turn big ideas into blazing realities. In this role, you won’t just write code, you’ll shape dreams, building custom apps that delight clients and advancing the AI tools that power magic. We’re searching for a curious learner, a bold challenger, and a collaborative spirit. Responsibilities: Designing and implementing AI internal tools to supercharge our processes and take the quality of our projects to new heights. Creating and maintaining REST APIs written in Python, Django, and Django Rest Framework Building and maintaining components in JavaScript and NextJS / React. Writing and maintaining unit and integration tests to ensure the quality of deliverables that turn clients into superfans. Implementing secure, robust, scalable, and maintainable solutions. Collaborating with Product, other developers, and teams to meet challenging goals. Contributing to the company's culture and vision. C1 English or equivalent 3+ years of experience developing applications with React; experience with NextJS is a plus. 3+ years of experience developing backend applications with Python; ideally using Django Rest. Hands-on experience with Docker, Docker Compose, and infrastructure as code solutions like Terraform. Hands-on experience with cloud services; ideally with AWS. Hands-on experience creating and maintaining unit and integration tests. Hands-on experience with Git and GitHub to contribute effectively to our projects. A curious mindset with a passion for learning and using new technologies. Natural leadership skills and a drive to win and learn quickly, both as an individual and as part of a team. Preferred Qualifications Experience working with high-growth startups. Experience building products using LLMs or LLM-based agents. Ideally using Langchain. Experience training AI models: building, cleaning datasets, setting up training pipelines, and evaluation b
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
ToptalRemote3w ago
Headquarters: We are seeking an AI Engineer to develop AI-first applications and integrate custom models and infrastructure into an existing e-commerce platform. The role focuses on building agent-led product experiences, including internal automation, dynamic site customization, and customer-facing conversational commerce workflows. General information This engagement supports an e-commerce startup building a platform around conversational design and intelligent automation. The current objective is to extend the existing product with AI-native capabilities while building on top of the current backend and application stack. The work includes three core initiative areas: an internal AI employee for operational tasks, a fluid site customizer, and a customer-facing commerce agent designed to support one-prompt checkout experiences. The role will involve model integration, infrastructure setup, and product-facing implementation across both backend and UI surfaces. Tasks and Deliverables - Develop AI-first applications for an existing e-commerce platform. - Architect and implement autonomous e-commerce AI agents using open-source and proprietary foundation models. - Establish GPU infrastructure and data pipelines for model fine-tuning and deployment. - Integrate AI workflows with the existing stack, including MongoDB, Node.js, Express, React, and third-party APIs. - Build conversational UI components and backend logic for one-prompt checkouts and dynamic site customization. Required Experience - Strong expertise in AI/ML engineering and LLM integration. - Hands-on experience fine-tuning open-source models such as Llama or Mistral. - Experience building autonomous agents and conversational AI workflows. - Solid background in GPU infrastructure setup and optimization for training or inference. - Full-stack proficiency with MongoDB, Express, React, and Node.js. - Experience integrating REST APIs into production applications. Nice to have: - Familiarity with Stripe, Twilio,
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
Collaboration.AiRemote3w ago
Headquarters: Minneapolis, MN URL: http://collaboration.ai Who We Are Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change. Our Products NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward. CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements. To learn more about us, visit collaboration.ai. About the Role You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge. This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory — for customers in defense, public sector, and regulated enterprise. Agents in production. Pipelines that hold. Evals that keep everyone honest. What You'll Do Ship production agent systems — design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence Operationalize LLM quality — build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOp
Collaboration.AiRemote3w ago
Headquarters: Minneapolis, MN URL: http://collaboration.ai Who We Are Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change. Our Products NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward. CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements. To learn more about us, visit collaboration.ai. About the Role You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge. This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory — for customers in defense, public sector, and regulated enterprise. Agents in production. Pipelines that hold. Evals that keep everyone honest. What You'll Do Ship production agent systems — design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence Operationalize LLM quality — build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOp
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…
Proxify ABRemote4w ago
Headquarters: Sweden URL: http://career.proxify.io The Role: We are seeking a Senior Ruby on Rails Developer who treats software engineering as an art form and a discipline. In this role, you will lead the development and scaling of highly responsive, business-critical web applications. You won't just build features; you will optimize system architectures, manage complex domain models, and champion engineering practices that keep codebases sustainable over long lifecycles. We look for developers who understand the core principles of software craftsmanship and can leverage modern technologies—like AI development workflows—to compress delivery timelines without compromising code quality. If you are an active contributor to the broader tech community and are obsessed with writing clean, expressive Ruby, you will thrive here. What we are looking for: 5+ years of production experience writing object-oriented Ruby and scaling robust Rails applications. Strong command over architectural patterns, domain-driven design, data modeling, concurrency, caching strategies, and API security protocols. You value automated testing (RSpec/Minitest) as a critical design tool. Proven ability to integrate AI development tools (such as GitHub Copilot, Cursor, or specialized LLM agents) into your daily engineering workflow. We value engineers who use AI to accelerate boilerplate writing, refactoring, and test generation, while maintaining the critical eye needed to debug and validate the outputs. A history of interacting with or contributing directly to the open-source community—whether that means maintaining custom gems, submitting PRs to public repositories, or actively contributing to the Rails ecosystem. Hands-on experience optimizing PostgreSQL databases, managing background processing via Sidekiq, and deploying containers with Docker into cloud native environments (AWS/GCP/Heroku). Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other
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
Apetan Consulting · 🇺🇸 United StatesRemote1mo ago
LLM DevOps/Inference Engineer- Client: Protégé Location: REMOTE Duration 12-18 months Must Have: Build and maintain the AWS infrastructure for the evaluation platform as code, including networking, compute, orchestration, secrets, observability, and CI/CD. Strong AI & LLM Recent healthcare industry exp (HIPAA, hl7, etc) LinkedIn Page Strong communication Context: We are looking for a DevOps/Inference Engineer for one of our clients building a healthcare-focused AI benchmark and evaluation suite…
Proxify ABRemote2mo ago
Headquarters: Sweden URL: http://career.proxify.io The Role: We are looking for a Senior Data Engineer to architect and scale the data foundations for one of our high-growth client products. The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability into every layer of the modern data stack. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products. What we’re looking for: 5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask). Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses. Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing. Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs. Hands-on experience with Snowflake, BigQuery, or AWS Redshift. Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0. Experience with Git, Docker, and implementing CI/CD for data pipelines. Nice-to-Have: Experience building Real-time Pipelines using Kafka or Flink. Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo). Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications. Infrastructure as Code (Terraform) experience. Responsibilities: Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization. Implement rigorous automated testing and monitoring to ensure data integrity and reliability. Optimize warehouse storage and compute costs while reducing pipeline latency. Partner with Data Scientists and Product Managers to translate business requirements into technical data models. Promote a 'DataOps' culture within the team, conducting code reviews and sharing best practices. Wh