Job Description :
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