Description

Lead end-to-end development of AI-powered web applications and scalable cloud architectures.

This role is hybrid.

Responsibilities

• Design and build full-stack AI applications using LLMs and Generative AI frameworks.
• Develop RESTful APIs and microservices for AI-driven solutions.
• Implement CI/CD pipelines and DevOps best practices for containerized deployments.
• Mentor development teams through code reviews and technical guidance.
• Optimize application performance, security, and scalability.

Required Skills

• 8+ years of full-stack development experience.
• Frontend expertise in React.js, Angular, or Vue.js.
• Backend proficiency in Node.js, Java, Python, or .NET.
• Hands-on experience with LLMs (GPT, Claude, or open-source models).
• Knowledge of AI orchestration frameworks like LangChain, LlamaIndex, or Semantic Kernel.
• Experience with vector databases (Pinecone, FAISS, ChromaDB, or Milvus).
• Strong understanding of REST APIs, GraphQL, and microservices architecture.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Preferred Skills

• Experience building Retrieval-Augmented Generation (RAG) applications and AI agents.
• Knowledge of MLOps, model deployment, and monitoring.
• 2-3 years in a technical leadership role.

Key Skills

Education

Any Graduate