AI Full Stack Developer - Python/FastAPI

Description : Were looking for a Full Stack Developer with strong backend expertise who can build, manage, and scale AI-driven products end to end. Youll play a critical role in designing scalable architectures, optimizing performance and cost, and building robust AI and agentic systems.

Responsibilities :

- Architect and build scalable backend systems using FastAPI, PostgreSQL, and Redis.

- Design, develop, and maintain AI-driven applications, integrating multiple LLMs, APIs, and agentic frameworks.

- Implement vector databases (pgvector, Qdrant, etc.) for RAG and AI memory systems.

- Orchestrate multi-agent AI systems with LangChain/LangGraph including function calling, agent collaboration, and monitoring.

- Build and integrate RESTful APIs for frontend and external use.

- Manage DevOps workflows, including CI/CD, cloud deployments (AWS/GCP), server scaling, and logging/monitoring (Sentry).

- Optimize application cost, latency, and reliability balancing speed with LLM call efficiency and caching strategies.

- Collaborate with product, design, and AI teams to translate business requirements into high-performing tech.

- Maintain documentation and ensure code quality with tests, reviews, and async-first architecture.

- Contribute to frontend development (React + TypeScript) when necessary ensuring seamless API integration and data visualization.

Requirements :

Core Skills :

- Strong proficiency in Python and FastAPI.

- Experience with PostgreSQL (including pgvector) and SQLAlchemy (async).

- Solid understanding of Redis, RQ (Redis Queue), and caching mechanisms.

- Proven experience integrating LLMs and AI APIs (OpenAI, Anthropic, etc.).

- Hands-on experience with LangChain / LangGraph, RAG pipelines, and agent orchestration.

- Experience working with cloud platforms (AWS / GCP) and managing file storage (S3).

- Familiarity with frontend stacks (React, TypeScript, Tailwind, Zustand).

- Working knowledge of DevOps Docker, CI/CD pipelines, deployment automation, and observability tools (Sentry, Mixpanel, Clarity).

Bonus / Nice to Have :

- Experience building agent monitoring dashboards or AI workflows.

- Prior experience in startup or product-based environments.

- Understanding of LLM cost optimization, token management, and function calling orchestration.

- Familiarity with external API integrations like BrightData, Hunter.io, Adzuna, and Serper.

- Experience building scalable AI products (e.g., chatbots, AI copilots, data agents, or automation tools).

Tech Stack :

Backend :

- Language : Python

- Framework : FastAPI

- Database : PostgreSQL (with pgvector)

- ORM : SQLAlchemy (async)

- Caching : Redis

- Job Queue : RQ (Redis Queue)

- Authentication : Google OAuth, JWT

- External APIs : OpenAI, BrightData, Theirstack, Adzuna, Serper, Hunter.io

- Cloud : AWS S3, Google Cloud Platform

- Monitoring : Sentry

- Agentic AI : LangChain / LangGraph, RAG, function calling, agent monitoring, vector databases

Frontend :

- Framework : React + TypeScript

- Build Tool : Vite

- Styling : Tailwind CSS

- State Management : Zustand

- Routing : React Router

- Forms : React Hook Form + Zod

- Charts : Recharts

- Analytics : Mixpanel, Sentry, Microsoft Clarity, Posthog

Mindset :

- Startup-ready : comfortable working in fast-paced, ambiguous environments.

- Deep curiosity about AI systems and automation.

- Strong sense of ownership and accountability for shipped products.

- Pragmatic and cost-conscious in architectural decisions.

- Excellent communication and documentation skills.