Agentic AI Engineer

23 hours ago


Hyderabad, India Intellectt Inc Full time

Job Title : Agentic AI Engineer Location: Hyderabad - Onsite Role Overview:As an AI Systems Engineer, you will be responsible for designing, developing, and deploying intelligent, agent-driven AI systems within the healthcare sector, with a focus on enterprise-grade applications. Utilizing frameworks such as LangChain and LangGraph, you'll build autonomous agents to enhance decision-making, optimize workflows, and orchestrate intelligent services—all while ensuring compliance in a regulated environment.Key Responsibilities:Architect and build autonomous AI agents using LangChain, LangGraph, or other relevant frameworks.Develop multi-agent workflows tailored to enterprise use cases, including data retrieval, task automation, and reasoning.Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Pinecone, FAISS) and prompt chaining.Integrate Large Language Models (LLMs) for generative tasks, applying fine-tuning, safety guardrails, and memory systems as needed.Create Python-based microservices and APIs to facilitate agent interactions, inference, and orchestration.Deploy AI solutions using containerization technologies (Docker, Podman) and cloud-native infrastructures.Implement telemetry, observability, and governance measures, including model evaluation, bias testing, and safety checks.Collaborate closely with Data Science, MLOps, and Product teams to ensure the successful delivery of scalable AI solutions.Adhere to enterprise AI governance standards, including data privacy, compliance, and security protocols.Experience & Qualifications:7+ years of experience (including 3+ years in AI/ML and 1+ year in agentic AI).Strong proficiency in Python development.In-depth experience with agentic AI frameworks such as LangChain, LangGraph, AutoGen, etc.Hands-on experience with vector databases (e.g., Pinecone, FAISS) and RAG architectures.Solid understanding of LLMs, embeddings, prompt engineering, and memory systems.Experience with containerization (Docker, Podman) and cloud deployment.Proficient in telemetry, observability tools, and AI governance (model evaluation, bias testing, safety checks).Strong problem-solving, communication, and cross-functional collaboration skills.Preferred Qualifications:Prior experience in healthcare or other regulated industries (e.g., HIPAA, PHI).Familiarity with model audits, AI safety, and bias mitigation strategies.Experience in LLM fine-tuning and optimization techniques (e.g., quantization, distillation).Knowledge of MLOps frameworks such as MLFlow and Weights & Biases.


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