Lead AI Engineer
Lead AI Engineer
Recro7-9 Years
- Posted 15 hours ago
- Be among the first 10 applicants
Job Description
About the job
Hiring: Lead AI Engineer
We are looking for a Lead AI Engineer with strong hands-on experience in Generative AI, Agentic AI, and AI-powered applications, along with people leadership experience.
#Location: Bangalore
#Experience: 7+ Years
#Leadership: 1+ year leading a small AI/Data Science team
#Production AI: 2+ years taking AI-powered applications to production.
Must-Have Skills
- Generative AI & Agentic AI in a commercial environment
- End-to-end delivery of AI applications from problem definition to production
- Classical statistics, ML, feature engineering, experimentation & model evaluation
- Prompt Engineering, RAG, Embeddings, Vector Search
- Tool/Function Calling, orchestration, structured outputs & failure handling
- Azure AI services; Copilot Studio / Power Platform experience is desirable
- Strong technical leadership, mentoring and people management.
Key Responsibilities
- Lead and mentor a team of AI Data Scientists, AI Engineers, AI/ML Engineers & AI Solution Engineers
- Balance AI experimentation, strategic delivery, production support and team development
- Build AI capabilities and knowledge-sharing practices across teams
- Drive technical reviews, coaching and capability development
- Collaborate with AI teams across India and the UK
More Info
Key Skills
Classical statistics
Tool Function Calling
Generative AI
ML feature engineering
Vector Search
AI applications
structured outputs
model evaluation
Agentic AI
failure handling
Embeddings
RAG
Azure AI services
Prompt Engineering
Copilot Studio
About Company
Skills:
Numpy, Pandas, Gcp, FastAPI, Azure, Python, AWS, GenAI, embeddings, LLMs, prompt engineering, RAG
Skills:
Python, LangChain, LLMs Prompt Engineering, Custom Guardrails, Vector Embeddings Semantic Search, MLflow, Multi-Agent Orchestration, LLM Evals, LangSmith, LangGraph, AI Observability Tools, RAG, Agent Engineering
Skills:
isolation), vLLM), Open-source LLMs (Ollama, Security fundamentals (auth, Cloud deployment, Docker, FastAPI, Python, LangChain, Re-ranking models, Vector databases, LangGraph, secrets, Voice AI pipelines, Hybrid search, CI/CD, RAG pipelines, Multi-agent systems, LlamaIndex
Skills:
Java, Docker, Node.js, Kubernetes, Python, DevOps practices and tools, Prompt engineering, Generative AI or LLM-based solutions
Skills:
Python, AI enabled systems, API based integration development, AI driven services, agentic workflows, LLM powered applications, AI assisted development tools