Full Stack Engineer

About the Role

We are seeking a Senior Full-Stack AI Engineer with a strong backend foundation (70%) and frontend expertise (30%) to design, build, and scale AI-driven applications.

You’ll work on next-generation AI solutions leveraging OpenAI, Azure OpenAI, Claude (Anthropic), LangChain, LangGraph, and MCP (Model Context Protocol) to orchestrate intelligent agent workflows, implement RAG (Retrieval Augmented Generation) pipelines, and integrate with vector databases and voice processing systems.

This role is ideal for engineers passionate about AI orchestration, intelligent agents, and full-stack innovation.

Key Responsibilities

• Design, develop, and maintain backend services using TypeScript (Node.js) and C# (.NET Core).
• Implement intelligent AI pipelines using LangChain, LangGraph, MCP, and RAG frameworks.
• Integrate and optimize LLM APIs (OpenAI, Azure OpenAI, Claude, etc.) for production-grade use cases.
• Work with PostgreSQL Vector databases for embedding storage and similarity search.
• Develop modular and responsive React frontends for AI-driven user experiences.
• Implement AI agent orchestration for multi-agent workflows and context sharing.
• Collaborate with data scientists and ML engineers to integrate models and improve accuracy/performance.
• Use Librosa or similar audio processing libraries to build or enhance voice-based features.
• Deploy, monitor, and optimize applications on Azure or other cloud environments.

Required Skills & Experience

• Backend (70%):
• Strong in TypeScript (Node.js) and/or C# (.NET Core).
• Experience building scalable RESTful and GraphQL APIs.
• Solid understanding of asynchronous programming and microservices.
• Frontend (30%):
• Proficiency in React (TypeScript preferred).
• Experience with modern UI frameworks and responsive design.
• AI & Data Tools:
• Experience with OpenAI and Azure OpenAI APIs.
• Knowledge of Claude (Anthropic) models and integration.
• Hands-on experience with LangChain, LangGraph, RAG, and MCP (Model Context Protocol).
• Familiarity with vector databases (PostgreSQL Vector, Pinecone, Weaviate, etc.).
• Understanding of AI agent orchestration concepts and frameworks.
• Bonus Skills:
• Voice/speech processing using Librosa or similar libraries.
• Azure cloud deployment (App Services, Functions, Containers).
• Familiarity with CI/CD pipelines, Docker, and Kubernetes.

Soft Skills

• Strong problem-solving and systems design mindset.
• Self-driven with a passion for AI innovation and experimentation.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, research-oriented environment.

Nice to Have

• Experience contributing to open-source AI frameworks.
• Prior work with Anthropic’s Claude or other frontier LLMs.
• Familiarity with multi-agent orchestration frameworks and retrieval pipelines in production.