Full-Stack Engineer (FastAPI + React)
tikr
2 - 5 years
Mumbai
Posted: 08/01/2026
Job Description
Mumbai, India (On-site) | Full-time | Competitive salary + equity (DOE)
At Deptheon AI Pvt. Ltd. (Stealth) we are building the next generation of AI-native enterprise software for public market investors and research teams (Tikr: tikr.in ). Were a small, high-ownership team where engineers ship end-to-end and see their work in production fast.
About the role
Were looking for a Full-Stack Engineer who thrives at the intersection of backend systems, polished user experiences, and AI-powered product development. Youll own features from database schema APIs deployed UI, and integrate LLMs into real production workflows.
This isnt a role where you implement specs handed down from above. Youll work closely with product and design, make pragmatic technical decisions, and ship code that real users depend on.
What youll do
- Build robust backend services FastAPI apps including REST APIs, auth, permissions, background tasks, and third-party integrations
- Ship polished frontend experiences dashboards, workflow UIs, and file handling in React + TypeScript with clean, intuitive UX
- Implement AI-powered features tool/function calling, RAG/search pipelines, structured outputs, evaluations, and guardrails
- Own production reliability observability, error handling, rate limiting, retries, and cost controls
- Iterate rapidly move fast with product/design without sacrificing code quality
What were looking for:
Required
- 2+ years shipping production software as a full-stack engineer (or equivalent demonstrable experience)
- Strong proficiency in Python + FastAPI Pydantic, async patterns, dependency injection, background job processing
- Strong proficiency in React + TypeScript state management, component architecture, performance optimisation
- Solid engineering fundamentals (SQL, data modeling, API design, testing/debugging)
- Experience integrating third-party services (OAuth, webhooks, file storage, payment processors)
Nice to have
- LangGraph / LlamaIndex / LangChain; human-in-the-loop patterns
- Familiarity with agent frameworks (LangGraph, LlamaIndex, LangChain) and human-in-the-loop patterns
- Experience with multi-tenant SaaS architecture, RBAC, and audit logging
- Hands-on experience with Postgres, Redis, Celery/RQ, Docker, and CI/CD pipelines
- Cloud deployment experience (AWS/GCP), containerised services, message queues, event-driven architectures
- LLM integration experience: RAG (embeddings, vector databases, retrieval strategies), tool/function calling, prompt engineering, schema validation, evaluations, and safety guardrails
Our stack
Backend: Python, FastAPI, Pydantic, Postgres, Redis, background workers
Frontend: React, TypeScript, modern component libraries
AI/ML: LLM APIs, embeddings, vector search, agentic workflows, evaluation tooling
Infra: Docker, CI/CD, cloud deployments, observability tools
Why Join Us
- High ownership You'll have direct impact on product direction and technical decisions
- Equity participation Share in the upside as we grow
- Modern stack Work with cutting-edge AI tooling and best-in-class infrastructure
- Small team, fast iteration Ship frequently, learn constantly
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