FSE AI Tech Lead Job Atlanta area,Georgia USA,IT/Tech

FSE AI Tech Lead

Our client, a IT Services and Consulting company, is looking for a FSE AI Tech Lead for their Atlanta, GA/Hybrid location.

Responsibilities:

Drive spec-first development practices across teams — leading the authoring of specs, technical plans, and agent-ready task breakdowns using Git Hub Spec Kit or equivalent tooling before any code is written.
Architect and build full stack web applications using React and modern JavaScript / Type Script frameworks on the frontend, backed by Node.js and Python services.
Design, develop, and maintain RESTful and GraphQL APIs — ensuring performance, reliability, versioning, and security across all service boundaries.
Lead cloud architecture and deployment on AWS, leveraging services such as Lambda, EC2, S3, API Gateway, RDS, and Cloud Formation for scalable, resilient systems.
Integrate and build AI-powered features using LLMs, AI agents, and prompt engineering techniques, translating GenAI capabilities into tangible product value.
Own data architecture decisions across MongoDB and PostgreSQL, including schema design, indexing strategies, query optimization, and migrations.
Mentor and technically guide engineers at all levels, conducting code reviews and raising the overall engineering bar across the organization.
Partner with product, design, and AI/ML teams to define requirements and translate them into well-specified, high-quality software.
Contribute to engineering strategy, tooling choices, and cross-team standards as a senior technical leader.

Requirements:

GenAI & Spec-First Development — deep expertise in spec-driven workflows (Git Hub Spec Kit or equivalent), AI agent orchestration, and building AI-powered product features end to end.
Full Stack Engineering (React / Node / Python) — extensive experience delivering production applications across the entire stack, from modern React UIs to Node.js and Python backends with robust API layers.
Cloud & Data (AWS + MongoDB / PostgreSQL) — strong command of AWS infrastructure and both relational and document databases, including schema design, optimisation, and cloud-native deployment patterns.

Why Should You Apply?