Lead AIML Developer (10+)

Key Responsibilities Program Orchestration: Lead the end-to-end lifecycle of the Agentic AI platform, from initial agent design and prompt engineering strategies to production deployment and monitoring. Technical Leadership: Partner with development team to evaluate system design trade-offs (e.g., choosing between Python-based microservices for AI logic and Java for high-throughput orchestration). Data-Driven Execution: Collaborate with Data Science teams to define evaluation frameworks (Evals) for agent performance, accuracy, and hallucination rates. Lifecycle Management: Manage the transition of models from R&D (Python/Notebooks) into scalable services (Java/Spring Boot/Cloud-native). Risk & Governance: Drive AI safety, security, and ethics protocols, ensuring agents operate within defined guardrails and follow human-in-the-loop (HITL) requirements. Required Qualifications Experience: 10+ years of total experience in technical program management or software engineering. Core Languages: Minimum of 6 years of professional experience in both Python and Java. You must be able to read code, conduct technical reviews, and understand the nuances of both ecosystems. Agentic AI Knowledge: Familiarity with agentic frameworks (e.g., LangChain, LangGraph, CrewAI, or AutoGen) and orchestration patterns (ReAct, Plan-and-Execute). Data Science Fluency: Solid understanding of ML fundamentals, vector databases (Pinecone, Milvus), and fine-tuning vs. RAG strategies. Cloud & Infrastructure: Experience with AWS/GCP/Azure AI stacks and deploying models at scale using Docker/Kubernetes. • Methodology: Expert-level mastery of Agile/Scrum and a track record of delivering 0-to-1 platform products.