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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Technical Lead - **Company:** Luxoft Usa, Inc. - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Engineering, Relational Databases, Python (Programming Language), Next.js, Software Engineering, Tokenization, TypeScript, AWS Cdk, Cloud Platform System, GitHub Copilot, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Fastapi, Infrastructure Automation Frameworks, AWS Fargate, Virtual Agents, Functional Programming, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Serverless Computing - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e8d588a6084f3c77 ## About the Role Must have 10+ years of professional software development experience. Advanced proficiency in Python (asyncio, FastAPI) and TypeScript (Next.js/React, serverless execution layers) Hands-on experience building complex, stateful agentic workflows using LangGraph or LangChain Proven track record architecting, provisioning, and managing your own production infrastructure on AWS, specifically utilizing ECS Fargate, Lambda, and SQS Experience defining cloud architecture programmatically using advanced Infrastructure-as-Code (IaC) tools like AWS CDK or Terraform (Python/TypeScript preferred) Experience managing relational databases (Aurora) alongside graph or vector backends (Neptune) Power-user fluency with advanced command-line AI interfaces (Claude Code CLI, GitHub Copilot CLI) with a deep understanding of prompt engineering and context window management Seasoned technical leader with professional software engineering experience and a proven track record leading teams to work collectively to deliver solutions on time Experience operating in an agile setting, deploying and maintaining AI/LLM applications in a live, enterprise-scale production environment Accountable for results, with excellent communication skills to mentor engineers and defuse technical friction Nice to have Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation). ## Description Luxoft is initiating the development of a solution designed to generate investment insights based on sales and research materials. The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights. Responsibilities Lead the architecture and implementation of production-grade LLM orchestration, multi-agent systems, and autonomous coding workflows Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations Implement strict evaluation and observability frameworks to monitor production latency, API costs, system drift, and model accuracy Drive the design, deployment, and ongoing maintenance of secure, scalable, and resilient cloud systems on AWS leveraging ECS Fargate, Lambda, SQS, Aurora, and Neptune Own the end-to-end infrastructure lifecycle by embedding robust Infrastructure-as-Code (IaC) and deployment pipelines directly within the development workflow Lead, mentor, and inspire a specialized team of Python and TypeScript engineers Drive delivery utilizing agile methodologies, balancing rapid AI prototyping with enterprise-grade stability, security, and compliance Act as the primary technical liaison between business stakeholders, product managers, and the engineering team to translate strategic goals into technical realities ## Related Videos - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Building Reliable Serverless Applications with AWS CDK and Testing](https://www.wearedevelopers.com/videos/812-building-reliable-serverless-applications-with-aws-cdk-and-testing) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)