AI Engineer

Project overview

This is a senior/lead AI Engineer contract role focused on building enterprise LLM applications and production-ready RAG solutions, with ownership across AI services, APIs, and user interfaces. The core requirements include Python, FastAPI, Angular or Next.js, TypeScript, LangChain, LangGraph, LangSmith, RAG and vector search, plus production MLOps and container orchestration. The role also expects sound application architecture, testing and API security practices, and the ability to guide engineers and communicate with business and technical stakeholders.

The structured experience band of 5–7 years aligns with the description, which further specifies 3–4 years in AI/ML or LLM solutions and senior/lead-level ownership. The position is in Bengaluru and is contract; work mode is not specified. Evaluation frameworks, prompt engineering, fine-tuning, LLM provider integrations, and data ingestion experience are value-added rather than core requirements.

Responsibilities

• Deep expertise in LLM-based application development and RAG pipelines
• Proven ability to lead AI architecture decisions and mentor engineering teams
• Solid full-stack software engineering background with hands-on experience in FastAPI and Angular or Next.js
• Strong command of MLOps practices and production-grade ML deployment
• Ability to build scalable, maintainable web applications from MVP to production — with clean architecture from day one
• Excellent stakeholder communication and cross-functional collaboration skills
• Autonomous, analytical mindset with a passion for cutting-edge AI technologies
• Lead the design and development of LLM-based applications using modern AI frameworks
• Architect and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases
• Develop and orchestrate AI agents and workflows using LangChain and LangGraph
• Monitor, trace, and evaluate model performance using LangSmith
• Implement and manage vector embeddings and vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS)

Requirements

• Python and clean coding practices, including SOLID principles and Git
• Production REST API development with FastAPI, including async endpoints, middleware, dependency injection, and OpenAPI
• Frontend development with Angular or Next.js
• TypeScript for type-safe development
• Clean, scalable application architecture with modular design and separation of concerns
• REST API design, versioning, authentication, and API security
• Unit and integration testing, with pytest, Jest, or equivalent
• LangChain for LLM application development
• LangGraph for stateful, multi-step AI agent workflows
• LangSmith for tracing, evaluation, and debugging LLM applications
• LLM fundamentals and end-to-end RAG pipeline design and deployment
• Embeddings, vector databases, chunking, retrieval optimization, reranking, and hybrid search
• MLOps practices, including model versioning, ML CI/CD, monitoring, and retraining pipelines
• Docker containerization and Kubernetes orchestration
• Senior-level technical ownership, architecture leadership, and mentoring

Project details

• Start: flexible
• Remote: onsite
• Location: India, IN