Overview:
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).
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.