Agentic AI Engineer (Python)

We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits. Key Responsibilities: • Design and build agentic AI frameworks and intelligent workflows using LLMs. • Develop and integrate Python-based AI applications with internal systems and APIs. • Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration. • Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution. • Collaborate with cross-functional teams to align AI initiatives with business goals. • Optimize AI agents for scalability, performance, and accuracy in production environments. • Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems. Required Skills & Experience: • Strong programming skills in Python and familiarity with AI/ML frameworks. • Proven experience developing LLM-driven or multi-agent AI systems. • Hands-on experience with LangChain, AutoGen, CrewAI, or related frameworks. • Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs. • Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma). • Strong problem-solving and analytical skills. • Excellent communication and teamwork abilities. Nice to Have: • Experience in healthcare or insurance domain. • Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models. • Exposure to MLOps or AI agent lifecycle management.