Technical Lead - AI/ML in Chennai, भारत

AI/ML Tech LeadRole Overview : We are seeking a high-ownership, hands-on AI / LLM Engineering Tech Lead to drive the technical execution of our core AI platforms. In this role, you will bridge deep architectural vision with direct code-level execution. You will lead an agile engineering pod building enterprise-grade Agentic Workflows, Knowledge Graphs, and AI Security https://jobeax.com/link/lt81CBVBOyn70P3J Responsibilities : - Lead an engineering pod (AI/ML Engineers, Full-Stack Developers, and DevOps) to ship low-latency, production-ready AI features.- Translate high-level blueprints into actionable technical specifications, clean codebases, and sprint backlogs.- Enforce engineering excellence through code reviews, automated CI/CD testing protocols, and robust error-handling standards.- Architect & Code : Build multi-modal LLM workflows and autonomous agentic systems using modern orchestration frameworks.- Knowledge Layer Integration : Implement knowledge graphs, dynamic ontologies, and advanced vector retrieval strategies (Hybrid Search, Graph RAG, Re-ranking).- AI Security & Guardrails : Deploy active safeguards against prompt injection, model jailbreaks, hallucination, and data leakage.- LLM Ops : Build automated pipelines for continuous model evaluation (e.g. RAGAS, TruLens), dynamic prompt versioning, and latency tracking.- Cost & Throughput Optimization : Optimize token consumption, context window management, caching, and model inference costs.- Observability : Monitor model drift, data distribution shifts, and edge-case execution in live enterprise production environments.- Collaborate closely with Product Managers, Solution Architects, and client teams to resolve complex edge cases and accelerate feature delivery.- Serve as a technical mentor, elevating team execution standards and unblocking complex algorithmic or system challenges https://jobeax.com/link/EY8k67eQvf2XQYRc Qualifications : - Experience : 5+ years of core software engineering experience, including 3+ years specifically architecting and delivering AI/ML or LLM-based products into production.- Leadership : Proven track record leading agile pods, conducting technical design reviews, and mentoring developers.- Education : Master's in Computer Science, Data Science, AI, or equivalent practical experience demonstrated through shipped products or open-source contributions and professional https://jobeax.com/link/OYb425e85DTAdYiY Stack : - Languages : Python (FastAPI, PyDantic, Asyncio), TypeScript, Go, or Java.- Agentic Frameworks & AI Stack : LangGraph, AutoGen, CrewAI, LangChain, LlamaIndex, PyTorch, Hugging Face, and major LLM Provider APIs.- Vector Engines & Knowledge Graphs : Qdrant, Pinecone, Milvus, Weaviate, Neo4j, RDF/Ontologies.- AI Security & Guardrails : Adversarial prompt testing, red teaming concepts, and guardrail implementation.- MLOps & Infra : Docker, Kubernetes, GitHub Actions, MLflow, Weights & Biases, and serverless AI infrastructure on AWS/GCP/Azure.Soft Skills : - Strong technical articulation and communication skills to engage with technical stakeholders, understand requirements, and present engineering solutions cleanly. (ref:hirist.tech)