Full Stack Developer – AI/ML Integration

We're looking for a Full Stack Developer with strong experience across React, TypeScript/Node.js, Python, Django, and PostgreSQL , who can also integrate AI/ML capabilities into production applications. This role blends traditional full-stack engineering with applied AI/ML integration — ideal for someone who enjoys building end-to-end products and connecting them with intelligent features (LLMs, ML models, APIs). Key Responsibilities Design, develop, and maintain scalable web applications using React (frontend) and Node.js/TypeScript or Django/Python (backend) Build and optimize RESTful/GraphQL APIs and integrate them with frontend applications Design and manage relational database schemas using PostgreSQL , ensuring performance and data integrity Integrate AI/ML models and APIs (e.g., OpenAI, Anthropic, Hugging Face, custom ML models) into existing applications and workflows Collaborate with data science/ML teams to productionize models (model serving, inference pipelines, embeddings, vector databases) Write clean, maintainable, well-tested code following best practices (unit tests, code reviews, CI/CD) Optimize application performance, scalability, and security across the stack Participate in architecture discussions and technical decision-making Debug and resolve production issues across frontend, backend, and data layers Required Skills & Experience 4+ years of professional software development experience Strong proficiency in React.js (hooks, state management, component architecture) Solid experience with TypeScript and Node.js for backend/API development Hands-on experience with Python and Django framework Strong understanding of PostgreSQL (schema design, query optimization, migrations) Practical experience integrating AI/ML models or APIs into applications (LLMs, embeddings, RAG pipelines, vector search, or similar) Familiarity with RESTful API design and third-party API integrations Understanding of Git version control and collaborative workflows Experience with cloud platforms (AWS/GCP/Azure) is a plus Good to Have Experience with vector databases (Pinecone, Weaviate, pgvector, etc.) Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks Docker/Kubernetes experience Experience with CI/CD pipelines Exposure to Django REST Framework (DRF) Soft Skills Strong problem-solving and analytical thinking Ability to work independently and in cross-functional teams Good communication skills to collaborate with product, design, and data science teams