Were hiring a hands-on Senior Backend Engineer to take ownership of production backend systems. Your primary language can be Python or Node.js - we care about engineering depth, not which syntax you think in.

This is a high-ownership seat: youll make architecture decisions, scale live systems, integrate and evaluate LLMs in real products, guide a small development team, and communicate directly with stakeholders. There is no architect above you catching your mistakes - the judgment is the job.

Were looking for someone who understands their language beneath the framework, has scaled real systems on AWS, and treats LLMs as an engineering discipline - evaluations, structured outputs, cost control - rather than magic.

Key Responsibilities

- Own backend systems end-to-end: design, build, deploy, monitor, and scale.

- Architect and maintain APIs and data stores that hold up as load grows - parallelism, queuing, caching, and cost are your daily concerns.

- Build and improve LLM-powered features: prompt/output contracts, evaluation sets, accuracy improvement, and API cost tracking.

- Make and document architecture decisions (ADRs); design out single points of knowledge, not just single points of failure.

- Guide delivery for a small team (4-6 developers): sprint planning, backlog refinement, breaking user stories into pickable tasks, code review, and mentoring.

- Communicate directly with stakeholders: estimates, trade-offs, timelines, and the occasional hard conversation.

- Run structured RD: when asked to evaluate a current tool or approach, you return with clear criteria, results from real data, and a written recommendation.

Requirements





- 4+ years of backend engineering in Python or Node.js - genuinely, beneath the framework.

- Framework experience (Django/FastAPI or Express/NestJS) is expected; framework-only experience is not enough.

- Production API experience - design, versioning, security, and debugging slow endpoints with evidence rather than guesses.

- Technical leadership - you can take a user story and break it into tasks a team can pick up, you document as you go (ADRs, runbooks) so knowledge never lives only in your head, and you can explain a technical decision to a non-technical audience and stand behind it.

- Scaling scars - youve watched a database fall over before the app servers did, and you know what to do about it (and it isnt "upgrade the instance").

- AWS fundamentals - Lambda and its real limits, SQS/SNS/EventBridge, S3-driven workflows, IAM, and cost awareness. Youve been paged for something you built.

- LLM application experience - structured outputs, evaluation sets, handling non-determinism, rate limits, and API cost as a first-class metric.

- AI-assisted development maturity - you use modern coding tools daily and can explain every line you merge.

Nice to Have

- Experience with both Python and Node.js.

- Azure Cloud experience.

- Vector search experience.

- GraphQL in production.

- Frontend working knowledge.

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📌 Senior Backend Engineer (Rajkot)
🏢 Untie-it Technologies
📍 Rajkot