1. Team Composition (Lean & Realistic)

A practical, execution-focused team of 4-5 people is sufficient to build the backend system:

- Backend Lead / Architect
- AI / LLM Engineer
- Backend Engineer (FastAPI + Postgres)
- DevOps / Infra Engineer (Part-Time)
- QA / Tester (Part-Time)

This configuration is optimal for delivering a 16-20 week build.

1. Skillset Requirements (Practical, Real-World)ROLE 1 — Backend Lead / Architect

Experience : 4-7 years

Required Skills :

- Strong FastAPI knowledge
- Python backend architecture
- PostgreSQL schema design
- API design & security
- JWT/API key auth
- Clean code structuring and module separation
- Ability to enforce immutable state contracts
- Code reviews & engineering standards

Not Required :

- ML knowledge
- Research background
- AI model training

Primary Responsibilities :

- Define backend service architecture
- Keep codebase stable, clean, and scalable
- Lead backend engineers

ROLE 2 — AI / LLM Engineer

Experience : 1-3 years

Required Skills :

- Prompt engineering
- LLM orchestration (OpenAI / Claude / Gemini)
- Safety guardrails for LLM responses
- Multi-step reasoning flow design
- Knowledge of embeddings & pgvector (optional)
- Understanding of context window management

Not Required :

- Training models
- Research-level AI work
- Advanced ML math

Primary Responsibilities :

- Build LLM-based reasoning flows
- Mode-specific prompting
- Dashboard summarisation logic
- Extraction of tasks, insights, and states

ROLE 3 — Backend Engineer (FastAPI + DB)

Experience : 1-3 years

Required Skills :

- FastAPI endpoints
- CRUD operations
- Postgres models (SQLAlchemy / Pydantic)
- Session and message storage
- File metadata handling
- Pagination, filtering, error handling
- Basic unit tests

Not Required :

- ML understanding
- Senior architecture design

Primary Responsibilities :

- Implement /chat, /dashboard, /team, /files APIs
- Build DB schemas and models
- Write clean, maintainable backend code





ROLE 4 — DevOps / Infra Engineer (Part-Time)

Experience : 3-5 years

Required Skills :

- Docker
- CI/CD pipeline setup
- AWS ECS / Kubernetes basics
- SSL/TLS setup
- Load balancing (Nginx/ALB)
- Secrets management
- Monitoring (Prometheus + Grafana)

Not Required :

- Full-time involvement
- ML/AI knowledge

Primary Responsibilities :

- Deploy services safely
- Maintain uptime and reliability
- Manage DevOps hygiene and release process

ROLE 5 — QA / Tester (Part-Time)

Experience : 1-2 years

Required Skills :

- API testing (Postman/Newman)
- JSON validation
- Scenario testing
- Regression checks
- Simple automation scripts (optional)

Not Required :

- Coding skills
- AI knowledge

Primary Responsibilities :

- Validate all API responses
- Ensure UI ↔ backend consistency
- Test fallbacks, errors, and edge cases

1. What This Team Does NOT Need

To keep cost and complexity low, this backend system does not require:

- ML Researchers
- Data Scientists
- NLP PhDs
- Senior AI Researchers
- FAANG-level architects
- Hardware/cryptography specialists
- Large DevOps teams
- Senior data engineers

The system excludes:

- Model training pipelines
- Full ingestion systems
- Identity systems
- Arbitration engines
- Advanced automation engines
- Device-level integrations

This keeps the talent requirement simple and achievable.

You want :

- Builders, not researchers
- Execution-focused engineers
- Generalists who understand backend + LLMs
- Mid-level engineers who want to grow
- People who value clean engineering over theory
- Engineers comfortable with iterative shipping

Avoid :

- Overqualified researchers
- Academia-focused ML profiles
- Engineers who only want R&D;
- Very senior hires who overcomplicate systems

1. Final Summary

This backend system can be executed by a lean, effective team with mid-level practical experience.

Work distribution:

- 90% backend engineering
- 10% LLM orchestration
- 0% research-level AI

This makes the hiring plan highly feasible, cost-efficient, and execution-friendly.

Pay: From ₹300,000.00 per year

Work Location: In person

📌 Backend Lite Team Structure (Chennai)
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