Role A fast-growing AI startup building an AI-native platform to help enterprises modernise legacy customer service and conversational systems. The company combines LLMs, agentic AI, knowledge graphs, and cloud-native technologies to transform complex enterprise workflows.
We’re looking for a hands-on Tech Lead – AI Platform Engineering to work closely with the CTO and lead the architecture and development of an AI-native platform.
What You’ll Do
- Design and build scalable Python backend systems, APIs, and microservices.
- Build AI workflows and agentic systems using LangChain and LangGraph.
- Work with PostgreSQL, Neo4j, Redis, FastAPI, and cloud-native services.
- Drive architecture, system design, performance, reliability, and engineering best practices.
- Write production-quality code and conduct architecture/code reviews.
- Mentor engineers and own features from design through production.
- Integrate LLMs, knowledge graphs, enterprise APIs, and AI orchestration into production systems.
Must Have
- 6–10 years of strong backend engineering experience.
- Excellent Python and FastAPI experience.
- Robust knowledge of AsyncIO, microservices, PostgreSQL, and Redis.
- Hands-on experience with LangChain + LangGraph.
- Production experience integrating LLMs and agentic AI workflows.
- Strong system design and architectural skills.
- Startup/product-company experience preferred.
This is a hands-on technical leadership role — not a people-management position.
📌 Tech Lead – AI Platform Engineering (Bengaluru)
🏢 Jumbo Consulting
📍 Bengaluru
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