01Overview
Job Description
We are looking for a Agentic AI Developer with hands-on experience in designing, developing, and deploying intelligent, autonomous AI agents that can plan, reason, and act toward achieving complex goals. This role blends expertise in Generative AI, Large Language Models (LLMs), and orchestration frameworks to build systems that go beyond static responsesenabling energetic, goal-driven behavior.
Key responsibilities
Build autonomous agents using frameworks like LangChain, LangGraph, AutoGen, and CrewAI that can plan, reason, and execute tasks iteratively.
Integrate and fine-tune LLMs (e.g., GPT, Claude, LLaMA) for use in agent workflows, including prompt engineering and retrieval-augmented generation (RAG).
Develop systems where multiple agents collaborate, delegate tasks, and adapt strategies based on real-time feedback.
Enable agents to interact with external systems (e.g., APIs, databases, web apps) to perform actions autonomously.
Use tools like LangSmith, Grafana, and Splunk to monitor agent behavior, performance, and reliability.
Work closely with data scientists, architects, and product teams to align agentic solutions with business goals.
Ensure all solutions are well-documented and comply with data privacy and security standards.
Technical Skills
Languages: Python (mandatory), JavaScript, C# (optional)
Frameworks: LangChain, LangGraph, AutoGen, CrewAI, Hugging Face Transformers
LLMs: GPT-4, GPT- 4o, Claude, LLaMA, Mistral, Gemini
Vector Databases: FAISS, Pinecone, ChromaDB, Weaviate
Cloud Platforms: Azure (OpenAI, ML Studio), AWS (Bedrock, SageMaker), GCP (Vertex AI)
DevOps & CI/CD: Git, Azure DevOps, Docker, Kubernetes
Monitoring Tools: LangSmith, Grafana, Splunk
Other Tools: Streamlit, FastAPI, Flask for UI/API development
Qualifications
Bachelors or Masters degree in Computer Science, AI, Data Science, or related field
25 years of experience in AI/ML development, with at least 12 years in Gen AI or Ag .
