Gen AI Lead

About the role

Must have technical/functional skills:

• Programming: Expert-level proficiency in Python (plus Go, Java, or C++ as needed).
• AI Frameworks: Hands-on experience with LangChain, LlamaIndex, LangGraph, CrewAI, or AutoGen.
• Data & Retrieval: Vector databases, hybrid search, document chunking, and knowledge graphs (e.g., Neo4j).
• Cloud & MLOps: Containerization with Docker and Kubernetes, CI/CD pipelines, and cloud platforms like AWS, GCP, or Azure.
• Observability: Production evaluation and tracing tools for monitoring model drift and output quality.

Responsibilities

• Own the full lifecycle of GenAI applications from initial design and testing to cloud deployment and monitoring.
• Build autonomous, goal-driven AI agents that can plan, reason, and execute multi-step workflows using tool-calling and APIs.
• Implement advanced retrieval systems, vector databases, and Graph RAG to ground AI responses in enterprise data and prevent hallucinations.
• Tune latency, throughput, cost-efficiency, and hardware utilization for large-scale LLM inference.
• Enforce responsible AI standards, including data privacy compliance, automated testing, evaluation tracing, and security guardrails.
• Mentor junior engineers, drive architectural best practices, and bridge the gap between technical teams and business stakeholders.

Qualifications

• Bachelor of Computer Science

Pay

$80,000 to $125,000 per year