- Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

- Own system design end to end : service boundaries, data flow, caching, queueing, failure modes, and scale.

- Ship AI/ML-powered features, including LLM and agentic capabilities.

- Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

- Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

- Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate :

Mandatory Experience :

- Must have 7+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale.

- Must be AI-native in their own engineering workflow : already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging.

- Must have owned backend architecture end to end, including greenfield builds.

- Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

- Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices.

- Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms.

- Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning.

Mandatory Company :

- Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred).

Mandatory Stability :

- Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered.

Mandatory AI Product :

- Must have experience building and shipping products that use LLMs and agentic workflows to end users.

Mandatory College :

- B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes (IITs, not NITs). Candidates from other institutions will not be considered unless they come from top top-tier product companies.

Mandatory Compensation Alignment :

- Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike.

Mandatory Note :

- Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities.

- Founding tech team role. Work from office, 5 days a week. Candidate must be willing to own the backend end to end and set engineering standards.

Preferred Note :

- Previous founding engineer or early-team startup experience is a plus.