Senior AI Engineer Department None Senior AI Engineer About the Role We are seeking a highly skilled AI Engineer with 4–7 years of software engineering experience and deep expertise in Generative AI, Agentic AI, and AI platform development. The ideal candidate will have a strong engineering foundation, hands-on experience building production-grade AI systems, and the ability to leverage modern AI tools to accelerate software development while maintaining high quality standards.

Key Responsibilities Design, develop, and deploy enterprise-scale Generative AI solutions using LLMs, SLMs, and multimodal models. Build advanced Retrieval-Augmented Generation (RAG) systems, including hybrid search, re-ranking, context management, and knowledge-grounded generation.

Develop

Agentic AI solutions capable of planning, reasoning, tool usage, workflow orchestration, and multi-agent collaboration. Design and implement MCP (Model Context Protocol) based architectures, including MCP servers, tools, and enterprise integrations. Fine-tune, evaluate, and optimize foundation models and SLMs for domain-specific use cases.

Build scalable, secure, and production-ready AI applications following software engineering best practices. Implement LLMOps/MLOps practices including evaluation, observability, monitoring, governance, prompt management, and model lifecycle management. Deploy AI solutions on AWS, Azure, or GCP using up-to-date cloud-native architectures.

Collaborate with business stakeholders, architects, and global teams to translate business challenges into AI-driven solutions. Stay current with emerging AI technologies, frameworks, and research.

Required Skills &

Experience 5–7 years of software engineering experience with at least 3 years focused on AI/ML or Generative AI.



Strong programming skills in Python with expertise in building scalable backend services and APIs. Hands-on experience with: RAG architectures and vector databases Agentic AI frameworks and multi-agent systems MCP (Model Context Protocol) implementations Prompt engineering, evaluation frameworks, and AI guardrails LLMs such as OpenAI, Claude, Gemini, Llama, Mistral, or similar Experience with frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or PydanticAI.

Strong understanding of data structures, algorithms, system design, distributed systems, and software architecture.

Experience with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Familiarity with LLMOps/MLOps, observability, and evaluation tools such as LangSmith, MLflow, Promptfoo, DeepEval, Ragas, or similar. AI-Assisted Engineering (Must Have) Demonstrated ability to effectively use AI-powered development tools such as Cursor, Claude Code, GitHub Copilot, Windsurf, Cline, Aider, Codex, or similar.

Experience building AI-native development workflows for code generation, debugging, testing, refactoring, documentation, and productivity enhancement. Exposure to engineering platforms and CI/CD tools such as Harness, GitHub Actions, Azure DevOps, Jenkins, or GitLab CI/CD.

Education Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, AI/ML, or related quantitative disciplines.

Open Positions None Mandatory Skills

Python, Artificial Intelligence, Generative Artificial Intelligence, Education Qualification Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, AI/ML, or related quantitative disciplines.

Experience 4 to 7 years

📌 Senior Artificial Intelligence Engineer (Mumbai)
🏢 Crisil
📍 Mumbai