IIQ - Senior AI Engineer Department None 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 modern 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.

- Robust programming skills in Python with expertise in building scalable backend services and APIs.
- Hands-on experience with: o RAG architectures and vector databases o Agentic AI frameworks and multi-agent systems o MCP (Model Context Protocol) implementations o Prompt engineering, evaluation frameworks,



and AI guardrails o 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. Open Positions 1 Mandatory Skills Software Development,Python,Java,Data Structures,Algorithms,Database Design,Database Development,Architectural Design,Design Patterns,MySQL,Oracle,Web Server,Websphere Application Server,Pyspark,Kafka,Workflow,State Machine,Apache Tomcat,Air Flow Schematics,Rest API Design,Rest API Testing,Rest API Services,Enterprise Architecture,TOGAF,Software Development Manager,Digital Transformation,Microservices,Technical Architecture,Solution Architect,Security Engineering Education Qualification Graduate Experience 5 to 8 years

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