Technical Lead

Luxoft; Irvine (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Luxoft seeks a Senior AI/ML Systems Lead to architect and implement production-grade LLM orchestration, multi-agent systems, and autonomous coding workflows. You will drive RAG pipelines, semantic chunking, and vector db integrations.

You will own cloud infrastructure on AWS (ECS Fargate, Lambda, SQS, Aurora, Neptune), embed IaC in development workflows, and mentor a team of Python/TypeScript engineers in an agile setting.

Qualifications

• 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

Responsibilities

• Lead the architecture and implementation of production-grade LLM orchestration, multi-agent systems, and autonomous coding workflows
• Oversee RAG pipelines, semantic chunking strategies, and vector database integrations
• Implement evaluation and observability frameworks to monitor latency, API costs, drift, and accuracy
• Drive design and maintenance of secure, scalable AWS-based cloud systems (ECS Fargate, Lambda, SQS, Aurora, Neptune)
• Own end-to-end infrastructure lifecycle with IaC and deployment pipelines embedded in development workflows
• Lead, mentor, and inspire a team of Python/TypeScript engineers
• Deliver with agile methods balancing rapid prototyping and enterprise-grade stability, security, and compliance
• Act as primary technical liaison between business, product, and engineering to translate goals into technical reality

Skills

Python (asyncio)

TypeScript

LangGraph/LangChain

AWS (ECS Fargate/Lambda/SQS)

IaC (CDK/Terraform)

Aurora/Neptune

AI CLI tools

Technical leadership

Agile development

Prompt engineering

Tools

Next.js/React

Serverless

GitHub Copilot CLI

Claude Code CLI

Job description

• 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

Mandatory Skills Description:

• 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