Full Stack Developer – AI/ML Integration

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

Build and maintain end-to-end web applications and connect them with AI/ML models and services. The work spans React interfaces, backend APIs, PostgreSQL data, model integration, and production reliability.

Role at a glance

Skills mentioned

What you will likely work on

• Develop and maintain web applications with React and Node.js/TypeScript or Django/Python.
• Build REST and GraphQL APIs and connect them to frontend features.
• Create and tune PostgreSQL schemas, queries, and migrations.
• Integrate AI/ML models and APIs, including LLM-based features, embeddings, and retrieval workflows.
• Work with data science and ML colleagues to bring models, inference pipelines, and vector search into production.
• Write and review maintainable, tested code; contribute to CI/CD practices.
• Improve application performance, scalability, and security, and resolve production issues across the stack.
• Take part in architecture discussions and technical decisions.

Good fit signals

• Has at least four years of professional software development experience.
• Works confidently across React, TypeScript/Node.js, Python/Django, and PostgreSQL.
• Has practical experience integrating AI/ML models or APIs into applications.
• Can collaborate with product, design, and data science teams while also working independently.
• Cloud, vector database, orchestration framework, container, and CI/CD experience can be helpful but is not required.