Job Summary
- We are seeking a highly skilled Senior Analyst – Agentic AI Engineer with strong hands-on expertise in designing, building, and deploying LLM-powered and Agentic AI applications. The ideal candidate will have experience developing multi-agent systems, autonomous workflows, RAG-based applications, evaluation frameworks, and AI-powered solutions with a strong focus on reliability, scalability, and quality.
- This is a hands-on engineering role for someone who has experience taking LLM and Agentic AI solutions from prototype to production. The role requires strong technical expertise in Python, Large Language Models (LLMs), Agentic AI frameworks, RAG, vector search, prompt engineering, LLM evaluation, guardrails, and observability.
Key Responsibilities
- Design and develop multi-agent architectures involving generation agents, evaluation/critic agents, and orchestration agents.
- Build and deploy scalable LLM-powered applications and generation pipelines that deliver reliable and high-quality outputs.
- Develop LLM-as-a-Judge, critic-agent, and automated evaluation frameworks to assess output quality, accuracy, relevance, and compliance.
- Design and implement effective prompt engineering, grounding, Retrieval-Augmented Generation (RAG), and vector search strategies using trusted enterprise data.
- Develop and maintain agent orchestration workflows using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
- Implement human-in-the-loop approval workflows and feedback mechanisms to improve agent performance and reliability.
- Build and implement AI guardrails, validation layers, and content governance mechanisms for production-grade AI applications.
- Integrate applications with major LLM providers and APIs and evaluate models based on quality, latency, scalability, and cost.
- Deploy and support LLM and Agentic AI applications on cloud AI/ML platforms such as Databricks Mosaic AI, Model Serving, or similar platforms.
- Implement LLMOps and MLOps practices, including experiment tracking, prompt/version management, monitoring, tracing, evaluation, and observability.
- Monitor and optimize AI applications for latency, performance, scalability, token usage, cost, and output quality.
- Collaborate with data engineering, machine learning, platform, product, and business teams to develop and deliver scalable Agentic AI solutions.
Required Skills
- 4 to 6 years of professional experience in AI Engineering, Machine Learning Engineering, Data Science, Software Engineering, or related technical roles.
- Strong hands-on experience with Python and developing production-grade applications.
- Experience building and deploying LLM-powered or Generative AI applications.
- Hands-on experience designing and implementing Agentic AI and multi-agent systems.
- Experience with Agentic AI and orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
- Strong knowledge of Prompt Engineering, Retrieval-Augmented Generation (RAG), grounding techniques, vector databases, and semantic search.
- Experience working with major LLM providers and APIs and understanding model selection trade-offs related to cost, latency, performance, and output quality.
- Hands-on experience with LLM evaluation techniques, including LLM-as-a-Judge, critic agents, automated evaluation, and quality assessment frameworks.
- Understanding of AI guardrails, validation frameworks, Responsible AI, content governance, and safety controls.
- Experience implementing or working with human-in-the-loop workflows and feedback mechanisms.
- Experience deploying LLM or Agentic AI applications on cloud AI/ML platforms such as Databricks Mosaic AI, Model Serving, or equivalent platforms.
- Knowledge of MLOps / LLMOps practices, including experiment tracking, prompt management, version control, monitoring, tracing, and observability would be an added advantage.
- Understanding of AI application optimization related to latency, scalability, token consumption, and cost management.
- Experience taking AI/LLM applications from proof-of-concept or prototype stages to production environments.
- Strong problem-solving skills and the ability to work effectively with cross-functional engineering and business teams.
Why Join Us?
- Opportunity to build and deliver next-generation Agentic AI and multi-agent solutions for enterprise use cases.
- Hands-on exposure to cutting-edge technologies including LLMs, autonomous agents, RAG, AI orchestration, and intelligent workflow automation.
- Opportunity to work across the complete AI application lifecycle, from prototype and experimentation to production deployment.
- Exposure to modern LLMOps, MLOps, AI evaluation, observability, and Responsible AI practices.
- Collaborative environment with opportunities to work closely with AI, data engineering, machine learning, platform, and business teams.
- Culture that encourages innovation, continuous learning, technical excellence, experimentation, and ownership.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Job Snapshot Updated Date 22-08-2026 Job ID J_5464
Location
Chennai, Tamil Nadu, India
Experience
5 - 7 Years Employee Type Permanent