Remote Dev Jobs
35 jobs available
ToptalRemote1d ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems on AWS Bedrock AgentCore — real conversational AI, RAG pipelines, and agent architectures that go well beyond proof-of-concept and serve live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems on Bedrock's agentic stack. If you've built and shipped on AgentCore specifically — not just Bedrock in general — and want your work to run in production rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents using AWS Bedrock AgentCore Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications primarily on AWS Bedrock and AgentCore, with Azure OpenAI or equivalent platforms as secondary context Develop and orchestrate agent architectures within AgentCore, using frameworks such as LangChain, LangGraph, or LlamaIndex where applicable Build and maintain MCP (Model Context Protocol) server integrations to extend AgentCore agent capabilities Design and build the production service layer around AgentCore (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments for AgentCore-based services Implement observability for AgentCore agents: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evalua
OnTheGoSystemsRemote4d ago
Headquarters: Remote URL: http://onthegosystems.com At OnTheGoSystems, we're building AI systems that help people translate content across many languages. Our LLM team works with AI-generated translations, user edits, customer feedback, and quality data to continuously improve translation quality. We're looking for a Data Analyst who enjoys solving open-ended problems, finding patterns in complex datasets, and turning data into practical recommendations. This is not a reporting role. You'll decide what to measure, investigate why things happen, and help the team make better decisions based on evidence. What you'll do You'll own analytical problems from start to finish. For example, you may discover that users edit translations much more often for one language pair than another. Instead of simply reporting it, you'll investigate why. You'll form hypotheses, gather the data, test possible explanations, and recommend the next steps. Your work will include: Defining meaningful metrics for translation quality, AI performance, and user behavior. Monitoring trends and identifying unusual patterns or quality issues. Turning observations into structured investigations and testing multiple hypotheses. Extracting and combining data from SQL databases, NoSQL databases, logs, APIs, and CSV exports. Comparing results across language pairs, AI models, providers, customers, content types, traffic levels, and other dimensions. Separating real signals from coincidence by validating findings with data. Reviewing translation samples to confirm whether patterns represent genuine quality issues. Investigating root causes and recommending practical improvements. Evaluating multilingual AI output for meaning, terminology, tone, formality, grammar, pronouns, and consistency. Using AI tools, dictionaries, and other resources to investigate languages you don't speak, while recognizing when expert linguistic input is needed. Reviewing AI-generated analyses, identifying incorrect conclusions, a
MindriftRemote5d ago
Headquarters: Saudi Arabia URL: http://mindrift.ai Description Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project ( https://tendem.ai/ ) and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products. Key Responsibilities Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express). Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores. Implement authentication, sessions, and basic role-based access where needed. Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features. Handle state management, user input validation, error states, and loading sta
CoinbaseRemote5d ago
Headquarters: Remote - USA Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Staff Software Engineer on the Core Automation team within Platform , you'll architect and build the Agentic AI systems that are reimagining how Coinbase delivers customer support and manages compliance at scale. This team is focused on automating high-volume operational processes with AI, then building the primitives and orchestration platform that let every domain at Coinbase leverage those capabilities. You'll own the technical vision for production AI systems that directly improve customer experience, strengthen compliance posture, and drive outsized efficiency gains. What you'll do: Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation Architect a reusable platform of primitives, orchestration tools, and interfaces that enable other teams to adopt Agentic AI for their domains Drive cross-functional alignment with product, compliance, and operations stakeholders to translate business needs into scalable technical solutions Lead technical strategy for getting LLM-based applications from prototype to production, including grounding, hallucination reduction, and reliability at scale Mentor engineers across the team on system design, coding standards, and AI/ML best practices Required Skills and Experience: 12+ years of backend software engineering experience, with deep profic
CoinbaseRemote5d ago
Headquarters: Remote - USA Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Platform Core Automation team, you'll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase. This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously. You'll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions. What you’ll be doing (ie. job duties): Own the design and delivery of agentic AI systems that power Coinbase's customer support and compliance automation, from LLM orchestration through production deployment and monitoring. Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks. Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability. Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions. St
CoinbaseRemote6d ago
Headquarters: Remote - Brazil Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. What you'll do: Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end. Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling. Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production. Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies. Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices. Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentral
Uber · 🇺🇸 San Francisco, United StatesRemote1w ago
Sr. Staff Engineer (GenAI) About the Role Uber's Customer Obsession team builds the platform and AI that powers world-class support across mobile, web, and voice at global scale. We are now hiring a Senior Staff Engineer to architect, productionize, and scale an autonomous support agent that resolves customer issues end-to-end. Experience with agentic architectures is an important pre-requisite to be successful in this role. You'll push the state of the art in GenAI for customer service-LLM orchestration, evaluation, safety guardrails, multilingual support, and real-time voice-while holding a very high bar for reliability and cost efficiency. We are still at an early stage and value candidates with bias for action who get creative with GenAI tools to accelerate execution and experimentation. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Own the end-to-end agent architecture : agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on-brand conversations. Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries ; design graceful degradation (e.g., human handoff) and safety guardrails (prompt-injection, jailbreak, PII redaction). Advance retrieval & reasoning : Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded. Establish evals that matter : offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM-as-judge (with calibrated human review) wired into CI/CD and experiment platforms. Drive automation at scale : partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact . Mentor/principal-lead multiple pods; set
ToptalRemote2w ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems that go well beyond proof-of-concept — real conversational AI, RAG pipelines, and agent architectures running on AWS Bedrock and/or Azure OpenAI, serving live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems. If you like being close to the frontier of agentic AI and want your work to ship rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents powered by large language models Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications on AWS Bedrock, Azure OpenAI, AgentCore, or equivalent platforms Develop and orchestrate agent architectures using frameworks such as LangChain, LangGraph, or LlamaIndex Build and maintain MCP (Model Context Protocol) server integrations to extend agent capabilities Design and build the production service layer (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments Implement observability: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evaluate, and iterate on agent, RAG, and platform performance in production Stay current with fast-moving developments in LLMs, agentic systems, and cloud AI platforms, and bring relevant advances into the
Proxify ABRemote2w 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
Proxify ABRemote2w ago
Headquarters: Sweden URL: http://career.proxify.io The Role: We are looking for a Senior Python AI Engineer to join our fast-growing Network, who will design and develop backend systems and APIs for AI-powered applications. You will play a key role in designing and building scalable backend systems and APIs, collaborating closely with cross-functional teams to shape the future of data-driven products across various platforms. What we are looking for: Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django). Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs. Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar. Experience with prototyping tools: Streamlit, Gradio Solid experience designing RESTful APIs and microservice architectures. Strong backend development expertise, including databases (SQL/NoSQL). Experience with version control (Git) and CI/CD workflows. Hands-on experience with containerization (Docker, ideally Kubernetes). Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Understanding of security best practices for handling sensitive data. Strong problem-solving skills to address complex challenges and performance bottlenecks. Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders. Ability to work independently while aligning with broader team goals. Intermediate-advanced English level. Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. AI/ML & LLM Ecosystem: LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex. Retrieval-Augmented Generation (RAG) pipeline design. Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS). Hands-on with LLMs & APIs: OpenAI (GPT-5/5-mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral. Familiarity with AWS Bedrock for accessing and d
Lemon.ioRemote3w ago
Are you a talented Senior AI Engineer/Architect looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: The rate depends on your skills and experience. We've already paid out over $11M to our engineers. No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. We'll manually find the best project for you according to your skills and preferences. Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours. We respect your seniority so you can expect no micromanagement or screen trackers. Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? We will support you from the time you submit the application throughout all cooperation stages. Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Through our community, we will connect you with the best developers from more than 75 countries. We have several AI-related roles; here are some of them. Requirements - AI Engineer: 3+ years of commercial experience applying AI to practical technology solutions A solid understanding of Python is a must; experience with other programming languages commonly used in AI is a plus Experience with Vector Databases, Pinecone or Weaviate is required 2+ years of experience with LangChain is mandatory 2+ years of experience with large language models (LLMs) or vLLMs is mandatory 2+ years of experience with RAG or OpenAI is required Requirements - AI Agent Architect: 3+ years of experience with Python 3+ years of experience with LLM Experience with Multi-agent systems architecture, AI agent orchestration, AI telemetry is a must. Requirements - AI Automation Architect: 1+ year of experience with Workflow
mProgen · 🇺🇸 United StatesRemote3w ago
Requirements Experience: 8 years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda). Observability Tools: Proven experience with Dynatrace, Jaeger, or Honeycomb, and distributed tracing standards. AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and frameworks like LangChain or AgentCore. Automation: Advanced experience with Terraform and CI/CD pipeline d…
ToptalRemote4w ago
Headquarters: Remote URL: https://www.toptal.com/ Summary: We are looking for an AI Engineer to help design, build, and improve AI-powered applications and agentic systems. This role is broad and best suited for engineers who have hands-on experience working with LLMs, RAG pipelines, AI agents, and modern AI orchestration frameworks. General Information: The engineer will work on building production-ready AI solutions that combine LLMs, tools, retrieval systems, workflows, and integrations. The ideal candidate is comfortable moving from experimentation to implementation and can make practical engineering decisions around reliability, scalability, and maintainability. Tasks and deliverables: Design and build AI agents and LLM-powered workflows. Implement RAG systems using vector databases, embeddings, chunking strategies, and retrieval optimization. Work with frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools. Integrate LLMs with APIs, internal systems, databases, and external services. Evaluate model outputs, improve prompt strategies, and support testing and observability. Collaborate with product and engineering teams to turn AI use cases into reliable software. Required Experience: Strong software engineering experience, preferably with Python and modern backend systems. Hands-on experience building AI agents, RAG pipelines, or LLM-based applications. Experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar frameworks. Understanding of embeddings, vector databases, retrieval strategies, and prompt engineering. Experience integrating LLMs with tools, APIs, and structured workflows. Ability to evaluate AI system quality, latency, cost, and reliability. Comfortable working in fast-moving, ambiguous environments. Engagement highlights: Broad AI engineering role focused on practical, production-oriented solutions. Opportunity to work with modern agentic architectures and LLM tooling. Ideal for engineers who enjoy combining softw
Stripe · South San FranciscoRemote1mo ago
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Develop and work with supporting secure AI and LLM usage/integration both in products and within Security Develop building blocks to accept payments and move funds Stripes Core Products including Connect, Subscriptions, Checkout, RADAR, and Issuing Build/Enhance automated threat modeling tooling Identify and help reduce security debt across our product portfolio Work closely with product engineering teams to design solutions that are secure by default Tailor answers to security questions from non-engineers and engineers Lead threat modeling discussions and help teams strike the right balance between security, user experience and product advancement Scale security effort by empowering engineering teams with automation, security guidance, tooling, patterns and training Drive high impact, cross-team security initiatives Mentor teammates and others across the organization Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements Bachelor’s degree or foreign equivalent in Computer Science, Security Informatics, or related followed by 5 years of security engineering experience in a production environment. Position also requires the following: 5 years of experience with multiple CSPs, including AWS and either GCP or Azure 5 years of experienc
Stripe · 🇺🇸 United StatesRemote1mo ago
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team We are a brand new team working quickly to accelerate Stripe's engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow. We're a cross-continent team spanning North America and Europe, filled with high-agency engineers with strong product perspectives. What you'll do We are looking for a hands-on Engineering Manager who can effectively lead a team of high-agency engineers to move quickly in a rapidly evolving technology space. You'll help set product direction in a field with a nearly endless solution space. People passionate about great products, user experience, and with strong opinions about how engineers do their best work will excel in this role. Prior experience deploying AI developer tools isn't required, but is a plus. You will: Lead a senior, cross-continent team of engineers to rapidly deploy and leverage the latest in AI developer tooling Deliver compelling user and product experiences for internal customers Partner across the company to redefine how software engineers at Stripe work Keep pace with an incredibly fast-moving technology landscape Dig deep into usage data to understand how engineers use AI tools, identify opportunities, and help Stripe accelerate Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, n
A.Team · 🌍 WorldwideRemote1mo ago
Senior Independent AI Engineer / Architect Remote | Americas, Europe, or Israel Most AI engineers can find work. Finding work worth doing is harder. A.Team is an invite-only network of senior AI engineers, ML engineers, and AI architects building production AI systems for startups, enterprises, and global companies. Since 2020, builders in the network have earned more than $200M working with companies including Lyft, Google X, HCA, Unilever, Sightful, D-ID, and others. The Work You'll join small teams solving real problems. Not demos. Not proof-of-concepts that never ship. Not another thin wrapper around an API. Recent work has included: AI-native products built from 0→1 Agent architectures and orchestration systems Enterprise AI deployments Retrieval, evaluation, and reliability infrastructure LLM-powered workflows and products Machine learning platforms operating at scale You'll work directly with founders, CTOs, and product leaders, helping shape both technical direction and execution. Why Builders Join The best opportunities rarely make it to the open market. A.Team exists to solve that. No bidding. No prospecting. No race to the bottom. Just ambitious companies, difficult problems, and experienced peers. Who Thrives Here People who have already shipped. Engineers who have deployed AI systems into production, understand the tradeoffs behind the hype, and know how to turn technical complexity into business value. What matters is a track record of building and shipping. The Details Typical rates: $120-$170/hr Remote You keep 100% of your rate Not a Fit Early-career engineers People without production AI experience Small gig seekers Developers focused primarily on simple AI wrappers or templated implementations Apply Tell us what you've built. 👉 build.a.team/apply-ai . We'll take it from there.
Mitre Media · 🌍 WorldwideRemote1mo ago
About Mitre Media Mitre Media is redefining FinTech with AI-driven tools that empower millions of investors. Our portfolio, including Dividend.com and MutualFunds.com, leverages LLMs to deliver novel data insights and visually rich user experiences. For over a decade, we’ve served individual investors, financial advisors, and top asset managers like BlackRock and Vanguard through our premium data, tools, and advertising solutions. Join our lean, entrepreneurial team to shape the future of AI-powered investing from your location ±3 hours from Eastern Time. Our users are deeply engaged, spending over 5 minutes per visit with a bounce rate below 10%, researching investments across hundreds of different categories. With 40 million brokerage accounts in the U.S., we take pride in building tools that make a real impact, fostering a culture of trust, innovation, and dynamism. If you’re passionate about financial technology and AI, we’d love to connect! About the Role As a Full-Stack Rails Tech Lead, you’ll architect and implement LLM-powered web applications within our microservices-based Rails 8 platform. Reporting directly to our CTO, you’ll collaborate with a small, high-impact team to deliver user experiences across Dividend.com, MutualFunds.com and other brands within our portfolio. This role combines expert Ruby on Rails skills with AI integration expertise, requiring you to leverage LLMs in your development workflow, state management and user interactions. You’ll work in a remote-first hybrid environment, which encourages in person collaboration, using ShapeUp to manage projects that trade-off on-time delivery for de-scoped outcomes. As a technical leader, you'll have a seat at the table shaping system architecture, implementing core features all while embracing an entrepreneurial mindset and a “get things done” mentality. Responsibilities Architect and maintain Rails applications (Rails 8) Integrate LLMs into our microservices architecture for state management and
Insight Global · 🇺🇸 United StatesRemote3mo ago
Job Description As a Senior AI Engineer, they will be working on Snowflake LLM observability, working with the system of record and execution layer for enterprise LLM workloads in snowflake. This is for a CRM product being built for on property guests and workers of this global hotel chain. This project is for a customer relationship management capability used directly by hotel level (property level) staff to recognize, personalize, and serve guests while they are physically on site-before arri…
Insight Global · 🇺🇸 United StatesRemote4mo ago
Job Description We are seeking a hands-on Data Scientist/AI Engineer/ML Engineer to design, build, evaluate, and deploy customer-facing LLM applications-with a primary focus on retrieval-augmented generation (RAG), agentic workflows, and production-grade Azure deployments. This role will be responsible for delivering a web-enabled, customer-facing chatbot that combines proprietary knowledge with live web search, integrates securely with enterprise systems, and meets high standards for accuracy,…
Zvoove · RemoteRemote57y ago
Job description We are looking for a Senior AI-Native Fullstack Engineer with a DevOps focus to support multiple engineering projects across AI-powered applications, SaaS platforms, and cloud-native solutions. This is not a traditional DevOps-only role. The role combines application engineering with infrastructure ownership: building services, APIs, automation and internal tools, while also running cloud infrastructure, deployments, observability and production operations. The ideal profile is a strong fullstack or backend engineer, preferably TypeScript-heavy, with hands-on depth in AWS, Infrastructure as Code, containers, networking, permissions, secrets and observability. With modern AI and LLM tooling, repetitive engineering, infrastructure, debugging and automation work can be accelerated dramatically. We expect someone who uses AI-native workflows to investigate in parallel, generate and validate infrastructure changes, and support teams with high-quality execution. What We’re Looking For We are looking for a builder who can move across the full delivery chain: application code, infrastructure code, deployment, runtime configuration and production troubleshooting. You should be someone who: Builds application software and owns the infrastructure behind it Uses AI as a default development and troubleshooting workflow Cares about reliability, security, automation, observability and maintainability Chooses simple solutions, owns outcomes, and verifies aggressively Your tasks Fullstack Engineering: Build services, APIs, scripts, automation, internal tools and lightweight frontend functionality where useful, mainly in TypeScript Infrastructure & Cloud Setup: Use IaC, ideally AWS CDK, to build pragmatic cloud patterns across containers, databases, queues, storage, networking, DNS, secrets and runtime configuration ECS Fargate Operations: Deploy and troubleshoot ECS Fargate workloads, including task definitions, services, load balancers, IAM roles, logs, scaling and