Agentic AI Engineer

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