We are looking for AI Engineering Tech Lead to drive the design and delivery of AI agent systems and multi-agent architectures.

Requirements

5+ years of experience in software engineering with a strong focus on AI/ML systems
Expert-level Python skills, including async programming and design patterns
Demonstrated experience building AI agents and multi-agent systems using LangChain and LangGraph
Strong practical knowledge of LLM integration patterns: prompt engineering, function/tool calling, retrieval-augmented generation (RAG), embeddings, and vector search
Extensive experience with cloud platforms - AWS and/or Azure - including deployment, scaling, and management of AI workloads
Solid general ML foundation: understanding of model training, evaluation, inference pipelines, and the broader ML development lifecycle
Strong CI/CD pipeline expertise
Hands-on experience with containerization and orchestration in production environments
Practical experience with infrastructure-as-code tools for managing cloud resources reliably and repeatably
Experience implementing AI observability
Proficiency in using AI tools for everyday tasks (Claude Code, Cursor, Advanced prompting, etc)
Experience designing and building robust APIs (FastAPI, Flask, or similar) and integrating them into larger system architectures
Proficiency with SQL and NoSQL databases
Ability to lead technical discussions, conduct meaningful code reviews, and mentor team members
Upper-Intermediate English or higher

Benefits

We are looking for AI Engineering Tech Lead to drive the design and delivery of AI agent systems and multi-agent architectures.

5+ years of experience in software engineering with a strong focus on AI/ML systems
Expert-level Python skills, including async programming and design patterns
Demonstrated experience building AI agents and multi-agent systems using LangChain and LangGraph
Strong practical knowledge of LLM integration patterns: prompt engineering, function/tool calling, retrieval-augmented generation (RAG), embeddings, and vector search
Extensive experience with cloud platforms - AWS and/or Azure - including deployment, scaling, and management of AI workloads
Solid general ML foundation: understanding of model training, evaluation, inference pipelines, and the broader ML development lifecycle
Strong CI/CD pipeline expertise
Hands-on experience with containerization and orchestration in production environments
Practical experience with infrastructure-as-code tools for managing cloud resources reliably and repeatably
Experience implementing AI observability
Proficiency in using AI tools for everyday tasks (Claude Code, Cursor, Advanced prompting, etc)
Experience designing and building robust APIs (FastAPI, Flask, or similar) and integrating them into larger system architectures
Proficiency with SQL and NoSQL databases
Ability to lead technical discussions, conduct meaningful code reviews, and mentor team members
Upper-Intermediate English or higher