Tech Lead - Pune / Bengaluru - Hybrid ( 3 days Work from office )

Hi,

We are hiring for a Tech Lead GenAI / AI Engineering role at Latent Bridge and your profile looks relevant for the opportunity.

We are looking for a hands-on technical leader with strong experience in Python, Generative AI/LLMs, RAG, Agentic AI, LangChain/LangGraph, MCP and backend engineering, along with experience leading technical teams and delivering AI solutions into production.

If you are open to exploring this opportunity, please share your updated profile and contact details.

Location: Bangalore / Pune

Work Model: Hybrid

Role & Responsibilities

• Lead and build GenAI, LLM and Agentic AI solutions from problem definition through production.
• Design and implement RAG pipelines, AI agents, multi-step workflows and tool integrations.
• Work hands-on with Python, LangChain/LangGraph, MCP, FastAPI and REST APIs.
• Define technical design, architecture, integrations, data flows, security and deployment approach.
• Build critical modules, prototypes and reusable AI components.
• Lead code reviews, debugging, performance optimization and production troubleshooting.
• Guide AI/ML and backend engineers while continuing to contribute hands-on.
• Work with clients on technical discussions, solutioning and technical workshops.
• Support solution estimation, technical proposals and solution presentations.
• Ensure AI solutions meet requirements around security, governance, evaluation, observability, scalability and cost optimization.

Preferred Candidate Profile

• 10-15 years of overall software engineering experience.
• 3+ years of hands-on AI/ML, GenAI or related AI engineering experience.
• Strong hands-on Python development.
• Strong recent experience building GenAI/LLM applications.
• Strong experience with RAG, embeddings, vector databases, prompt engineering and tool/function calling.
• Hands-on experience with AI agents, multi-agent workflows, orchestration and state/memory management.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar frameworks.
• Good understanding of MCP (Model Context Protocol).
• Backend experience with FastAPI, Flask, Django or similar.
• Strong REST API, microservices and distributed-systems knowledge.
• Experience with Azure, AWS or GCP, Docker, Kubernetes and CI/CD.
• Strong communication, stakeholder management, mentoring and team collaboration skills.
• Candidates with enterprise AI, BFSI/regulated-domain or client-facing experience will be preferred.
• Candidate with Claude and Azure certifications will be strongly preferred.

Perks and Benefits

• Opportunity to work on enterprise-scale GenAI and Agentic AI solutions.
• Hands-on exposure to modern AI technologies and platforms.
• Opportunity to work directly with technical and business stakeholders.
• Strong technical ownership and leadership opportunities.
• Exposure to Azure OpenAI, Azure AI Foundry, AWS Bedrock, Anthropic Claude and other leading AI platforms.
• Collaborative engineering environment with opportunities to mentor and grow technical teams.

If this aligns with your experience and career interests, please feel free to connect/share your updated CV.