AI FULL STACK DEVELOPER
WE’RE HIRING | AI FULL STACK DEVELOPER
📍 Location: Pune, Maharashtra, India
💼 Job Type: Full-time
🧑 💻 Experience: 3–5 Years
Are you a full-stack developer passionate about building real-world AI applications?
We’re looking for an AI Full Stack Developer with strong Python backend skills, practical React/TypeScript experience, and hands-on exposure to delivering LLM/GenAI features in production.
If you enjoy building scalable applications, intelligent AI workflows, and user-friendly interfaces, we’d love to hear from you!
🔹 What You’ll Do
- Build scalable backend services and REST APIs using Python, FastAPI, or Flask.
- Develop frontend applications using React, JavaScript, TypeScript, HTML5, CSS3, and Tailwind CSS.
- Own end-to-end feature development across backend, frontend, and AI integrations.
- Build LLM integrations, RAG pipelines, data pipelines, and agentic AI workflows.
- Integrate OpenAI, Anthropic, and other LLM APIs, managing streaming, retries, latency, and cost.
- Develop multi-turn chat interfaces, dashboards, and real-time features using REST APIs and WebSockets.
- Implement logging, monitoring, tracing, automated testing, and production observability.
- Work with Docker, CI/CD, and cloud deployment workflows.
- Use modern AI-assisted coding tools such as Claude Code to accelerate development.
🔹 Must-Have Skills
- 3–5 years of professional software development experience.
- 1–2+ years of hands-on experience building and shipping LLM/GenAI features in production.
- Strong Python skills with FastAPI, Flask, or similar frameworks.
- Working proficiency in JavaScript and TypeScript.
- Frontend development experience with React or similar frameworks.
- Good understanding of HTML5, CSS3, and Tailwind CSS.
- Experience with REST APIs, SQL/NoSQL databases, and asynchronous processing.
- Hands-on experience with RAG, embeddings, vector search, chunking, and retrieval optimization.
- Familiarity with LLM orchestration, tool use, agentic workflows, and MCP.
- Understanding of prompt engineering, AI evaluation, and risks such as hallucinations and prompt injection.
- Git, Docker, automated testing, and CI/CD fundamentals.
- Good communication and problem-solving skills.
🔹 Good to Have
- Multi-turn chat interfaces, streaming responses, citations, and data-rich dashboards.
- Claude Code or other agentic AI coding tools.
- LangSmith, Langfuse, or similar LLM observability tools.
- Snowflake Cortex, Databricks, AWS, Azure, or GCP.
- Kubernetes, infrastructure as code, and Figma.
- Agile/Scrum and Jira experience.
- Financial services or regulated-industry experience.
🎓 Education: Bachelor’s degree or above in Computer Science, IT, or a related discipline (or equivalent practical experience).