AI Full Stack Developer

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

Responsibilities :

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

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

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

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

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

6. Manage DevOps workflows, including CI/CD, cloud deployments (AWS/GCP), server scaling, and logging/monitoring (Sentry). 7

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

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

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

10. 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).