Lead AI Engineer

Role Summary

We are looking for a Lead AI Engineer (7+ years experience) with a strong full-stack background to design and build AI-powered applications and agentic systems. The role involves leading small teams and delivering end-to-end solutions across UI, backend, data, and AI layers using modern cloud and AI platforms.

Key Responsibilities

• Lead architecture, design, development, and rollout of AI solutions
• Build AI-native applications and agentic workflows using LLMs
• Develop full-stack applications (React UI, APIs, backend services)
• Implement RAG pipelines, automation, and AI assistants
• Work with cloud platforms and data pipelines
• Ensure scalability, performance, observability, and cost optimization
• Mentor engineers and drive best practices and code quality
• Collaborate with stakeholders to translate business needs into AI solutions
  

Required Skills

• 7+ years of experience in software engineering with full-stack expertise
• Strong programming skills in Python / Node.js and API development (FastAPI preferred)
• Experience with frontend frameworks (React.js preferred)
• Hands-on experience with Generative AI / LLMs / agent frameworks (LangChain, LangGraph, etc.)
• Experience with at least one AI platform:
• Azure AI Foundry
• OR Amazon Bedrock (or similar AWS AI services)
• OR Snowflake Cortex AI
• Strong experience with Snowflake (data modeling, pipelines, performance tuning)
• Knowledge of cloud platforms (AWS / Azure / GCP) and event-driven architectures
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Strong understanding of system design, scalability, and distributed systems