Agentic AI Engineer
Job Description
About the Role
We are seeking an experienced AI Engineer with 4+ years of strong expertise in Generative AI and Agentic AI, combined with solid production engineering capabilities.
The ideal candidate will have hands-on experience building, deploying, and scaling LLM-powered systems — moving beyond prototypes into robust, enterprise-grade AI applications.
Key Responsibilities
• Design, build, and deploy GenAI / Agentic AI solutions, including:
o LLM pipelines
o Retrieval-Augmented Generation (RAG) systems
o Autonomous AI agents
• Develop scalable APIs, microservices, and model-serving architectures using cloud platforms (Azure preferred).
• Implement:
o Prompt engineering and prompt workflows
o Embeddings and vector search
o Guardrails and safety mechanisms for responsible AI
• Deploy production AI systems using:
o Docker, Kubernetes o CI/CD pipelines
o Monitoring and observability frameworks
• Integrate AI solutions with enterprise systems, data sources, and external APIs.
• Ensure reliability, performance, compliance, and alignment with Responsible AI standards.
Must-Have Skills (GenAI / Agentic AI)
• Hands-on experience in Generative AI development using models such as:
o GPT, Claude, Llama, Mistral, etc.
• Strong experience in Agentic AI, including:
o Multi-step AI agents o Tool-calling workflows
o Autonomous task pipelines
• Expertise in RAG architectures and vector databases such as:
o Pinecone, FAISS, Chroma, Azure Cognitive Search
• Proficiency in Python or JavaScript/TypeScript.
• Experience with frameworks like: o Azure OpenAI, LangChain, LlamaIndex, or similar
• Strong production engineering skills:
o Docker, Kubernetes
o CI/CD pipelines o API development and deployment best practices Nice to Have
• Model fine-tuning, quantization, or optimization experience.
• Familiarity with LLM evaluation frameworks such as:
o Ragas, TruLens, DeepEval
• Exposure to event-driven or real-time AI systems.
Job Location Chennai/Bangalore (Hybrid Model)
