AI Technical Lead

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

Job summary

Luxoft is seeking a senior software engineer to lead architecture and implementation of production-grade LLM orchestration and multi-agent workflows in a cloud-first environment. You will guide AWS infrastructure (ECS Fargate, Lambda, SQS, Aurora, Neptune) and drive IaC, CI/CD, and observability practices while mentoring a skilled Python/TypeScript team.

The role requires 10+ years of software development, deep Python/TypeScript expertise, and hands-on experience with LangChain/LangGraph and AI

Qualifications

• 10+ years of professional software development experience.
• Advanced proficiency in Python (asyncio, FastAPI) and TypeScript (Next.js/React).
• Hands-on experience building complex, stateful agentic workflows using LangGraph or LangChain.
• Proven track record architecting, provisioning, and managing production infrastructure on AWS (ECS Fargate, Lambda, SQS).
• Experience defining cloud architecture programmatically with IaC tools (CDK or Terraform).
• Experience managing relational databases (Aurora) with graph/vector backends (Neptune).
• Fluency with advanced CLI AI interfaces (Claude Code CLI, GitHub Copilot CLI) and prompt engineering.
• Seasoned technical leader with track record leading teams to timely delivery.
• Experience operating AI/LLM apps in live enterprise-scale environments.
• Strong communication to mentor engineers and resolve technical friction.

Responsibilities

• Lead the architecture and implementation of production-grade LLM orchestration and multi-agent systems.
• Oversee enterprise RAG pipelines, semantic chunking, and vector DB integrations.
• Implement observability frameworks to monitor latency, costs, drift, and accuracy.
• Design, deploy, and maintain secure, scalable AWS-based cloud systems (ECS Fargate, Lambda, SQS, Aurora, Neptune).
• Embed Infrastructure-as-Code and deployment pipelines within development workflows.
• Mentor and lead a team of Python and TypeScript engineers.
• Drive delivery with agile methods balancing rapid prototyping and enterprise stability, security, compliance.
• Serve as technical liaison translating strategy into executable plans.

Skills

Python

TypeScript

LangGraph/LangChain

AWS

IaC (CDK/Terraform)

Aurora/Neptune

CLI AI tools

Leadership

Agile

Communication/Mentoring

Tools

LangChain

Claude Code CLI

GitHub Copilot CLI

AWS ECS Fargate

AWS Lambda

SQS

Aurora

Neptune

CDK

Terraform

Job description

Project 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.

Skills

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 collaboratively 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).