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Full Stack Developer – AI/ML Integration

Metaplore · metaplore.com
BengaluruMid level4+ yrs
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The job in short

Full-stack AI and ML integration development.

PythonTypeScriptReactNode.jsDjangoAWSAzureGCPKubernetesDockerGraphQLLLMs

Details

Found
37 d ago · posted 2026-08-04
Location
Bengaluru, KA

Full description

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

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