Description
Role Overview :
InsuranceDekho is building an AI Lab to reimagine insurance using agentic systems that can reason, decide, and execute across the value chain. We are looking for an Engineering Manager who is both a strong builder and a pragmatic leader someone who can go from 01 while scaling systems and teams.
You will own full-stack architecture across AI, backend, and frontend systems, with Python-led backend and AI systems forming the core of the stack.
What You Will Own
- Build and ship 01 AI-powered products impacting revenue and operations
- Own architecture across AI systems, Python backend services, APIs, and frontend applications
- Drive Python-first backend development for AI orchestration, data pipelines, and high-scale services
- Design scalable, low-latency APIs and microservices powering AI-driven workflows
- Translate ambiguous business problems into production-grade systems
- Drive fast iteration cycles: prototype validate productionize
- Hire, mentor, and raise the bar for a high-caliber engineering team
- Establish strong engineering practices across backend, frontend, and ML systems
- Partner closely with product and business to define roadmap and execution
What Were Looking For
- 8 to 12+ years of experience building and scaling backend-heavy systems
- Strong expertise in Python (must-have) as a primary backend and AI language
- Deep experience building production-grade backend systems (FastAPI, Django, Flask)
- Strong fundamentals in distributed systems, APIs, and system design
- Hands-on experience integrating AI/ML systems (LLMs preferred) into backend services
- Strong hands-on experience building or working with agentic systems, LLM orchestration, or RAG architectures
- Solid frontend exposure (React/Next.js or equivalent) with product thinking
- Strong understanding of databases (SQL/NoSQL), caching, and async processing
- Track record of hiring and developing strong engineers
- High ownership mindset with bias for action
Nice To Have
- Experience in Insurtech, Fintech, or high-scale marketplaces
- Experience with real-time systems, event-driven architecture, or streaming pipelines
- Familiarity with the Python AI ecosystem (PyTorch, TensorFlow, LangChain, etc.)
What Success Looks Like (612 Months)
- Built and scaled Python-based backend systems powering AI products in production
- Launched multiple AI-driven features used by customers/agents at scale
- Established strong backend and AI engineering foundations
- Built a high-ownership, high-caliber team
- Delivered measurable business impact through shipped systems
(ref:hirist.tech)
