Position of position of Agentic AI Engineer; Local); F2F

Urgent position of position of Agentic AI Engineer (Only Local) (F2F Interview)

NO GC OPT CPT

• Design and develop AI agents using Python, Lang Chain, and Lang Graph.
• Build multi-agent workflows for task automation, reasoning, and retrieval.
• Develop RAG pipelines using vector databases and document sources.
• Integrate LLMs with APIs, databases, and backend services.
• Create scalable Python microservices for agent orchestration.
• Work with prompt engineering, memory, tool usage, and guardrails.
• Deploy solutions using cloud-native and container-based approaches.
• Monitor performance, reliability, and safety of AI systems.
• Collaborate with engineering, product, and data teams.
• Troubleshoot issues and improve agent behavior through testing and evaluation.

• Strong Python programming experience.
• Hands-on experience with Lang Chain and/or Lang Graph.
• Experience building agentic AI or LLM-based solutions.
• Knowledge of RAG, prompt chaining, memory, and tool orchestration.
• API development experience, preferably with FastAPI or Flask.
• Understanding of databases, vector stores, and backend integration.
• Good problem-solving and communication skills.

• Experience with OpenAI, Anthropic, Azure OpenAI, or AWS Bedrock.
• Knowledge of Docker, Kubernetes, and CI/CD.
• Exposure to observability, logging, and model evaluation.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with multi-agent frameworks and enterprise AI governance.

• 10+ years in software development or AI engineering.
• 5+ year in agentic AI or LLM application development preferred