Lead AI Engineer

Lead AI Engineer (3+ Years Exp) | Leading Technical Team

The Opportunity: We are an upcoming start-up based in Bangalore building a sophisticated AI product meant to do meaningful work. We are not just wrapping an API or building a generic chatbot but we are engineering something complex that requires deep architectural rigour.

We are looking for a Lead AI Engineer who has at least worked on and finished a few AI-related projects to anchor our technical team. This is a role for a builder who cares about craftsmanship and wants to solve hard problems in logic, memory, and latency and is willing to go beyond simple prompting to build a reliable, production-grade intelligence layer.

The Mission:

You will be the architect of our core AI infrastructure.

Build Context: Design advanced RAG pipelines that solve for long-term memory and precise retrieval, not just simple search.

Orchestrate Agents: Engineer multi-agent systems that adhere to strict deterministic logic, ensuring the AI behaves reliably in complex scenarios.

Master Modality: Architect multimodal pipelines (Voice, Text, Vision) to create a seamless, human-like interaction layer.

Optimize Scale: Leverage Google Vertex AI to build a system that is fast, cost-effective, and scalable.

The Tech Stack:

Core: Python (FastAPI/Django), AsyncIO.

AI Environment: Google Cloud Vertex AI (Gemini Multimodal Models, Deep familiarity required).

Logic & Memory: LangChain / LangGraph (Multi-Agent Orchestration), Vector Databases (Pinecone/Weaviate/Vertex Search).

Data & Storage: PostgreSQL, Firestore (NoSQL), Google Cloud Storage, Redis.

The Culture:

Tight-Knit: We are a small team. We have each other's backs.

Excellence: We care deeply about code quality and architectural decisions.

Growth: We are tackling problems unsolved thus far. So if you are interested in bringing about a change, you are at the right place.

Remuneration: Competitive Package

Location: Onsite