Backend Lite Team Structure

Backend Lite Team Structure - Chennai, Tamil Nadu

Atman Art Works is seeking a lean and execution-focused team to build a robust backend system. This is an in-person, full-time opportunity in Chennai, Tamil Nadu.

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.

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

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.

Ideal Candidate Profile (Across All Roles)

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.

Final Summary

This backend system can be executed by a lean, efficient 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