Context
We are building AI-native products on the Anthropic API and MCP, backed by a Django/DRF + PostgreSQL platform and a React/Next.js frontend, deployed on Azure. The team works in an AI-assisted workflow (agentic AI coding tools are a daily tool), so the Junior FDE must be able to review, understand and own every line that ships. This is a build-and-learn role: you work from tickets a senior has scoped, with code review on every change, and grow into owning full features.

What the role owns
Own scoped tickets end-to-end: build DRF endpoints and models, implement individual LLM workflows (prompts, tool calls, MCP tools), fix bugs from logs and traces, and test what you ship — then take feedback from review and cut repeat mistakes.

The actual workload (by share of time);

Backend features & APIs (~35%)
DRF models, serializers, viewsets, migrations on PostgreSQL
• e.g. "Add a filter + pagination to the cases list API"
• e.g. "New field with migration and serializer"

LLM workflows, skills & MCP connectors (~25%)
Prompts, tool use, agent skills, custom MCP tools/connectors
• e.g.



"Add an MCP tool that fetches a matter's documents"
• e.g. "Write a skill for the intake checklist"
• e.g. "Tighten the extraction prompt"

Async jobs & integrations (~15%)
Celery/Redis tasks, third-party APIs, auth (JWT/OAuth2)
• e.g. "Move document summarisation to a Celery task with retry"

Bugs & debugging (~15%)
• e.g. "Task stuck in pending — find why"
• e.g. "500 on empty payload"

Tests, review & light frontend (~10%)
pytest, PR cycles, small React/Next.js fixes
• e.g. "Add tests for the new endpoint"
• e.g. "Wire the current API into the Next.js list page"

Priority reality: tickets arrive with mixed urgency. A Junior FDE flags blockers early, asks before guessing, and escalates anything touching auth, data or production to a senior rather than fixing it alone.

Tech stack
• AI/LLM engineering: Anthropic API, MCP (Model Context Protocol), agentic AI coding tools (CLI/IDE), reusable

📌 Junior FDE (Gurugram)
🏢 Pragyaa
📍 Gurugram