AI / ML & Agentic AI Engineer

We are looking for experienced AI/ML and Agentic AI Engineers with strong hands-on expertise in Python, Agentic AI, and AI/ML engineering. The role involves designing, developing, integrating, and deploying AI-powered solutions across enterprise platforms.
Responsibilities:
Design and develop Agentic AI and LLM-based solutions using Python.
Build AI agents, workflows, and intelligent automation solutions.
Develop and integrate APIs and enterprise applications.
Work on RAG (Retrieval-Augmented Generation) pipelines and prompt engineering.
Develop and deploy AI/ML solutions using cloud-native technologies.
Implement CI/CD pipelines and DevOps practices for AI applications.
Perform testing, monitoring, and troubleshooting of AI/ML applications.
Implement observability and monitoring for AI systems and enterprise platforms.
Ensure AI solutions meet security, reliability, and responsible AI requirements.
Work on enterprise platform connectivity and system integration.
Collaborate with cross-functional teams to deliver scalable AI solutions.
Requirements:
Strong hands-on experience in Python.
Hands-on experience in AI/ML engineering.
Strong knowledge of Agentic AI / AI Agents.
Experience with LLM applications and prompt engineering.
Experience with RAG and AI application development.
Strong understanding of APIs and system integration.
Experience with cloud-native application deployment.
Primary Focus Areas: Agentic AI, LLM, Prompt Engineering, RAG, Python Engineering, APIs, Cloud-Native Deployment, CI/CD, System Integration, Testing, Observability, Responsible AI.
Ideal Candidate: A hands-on AI/ML engineer with 5-12 years of experience who has practical expertise in Python and modern Agentic AI/LLM technologies, along with experience integrating and deploying AI solutions in enterprise environments.
Supporting Skills:
Cloud technologies
DevOps and CI/CD
Software testing
Observability and monitoring
Security
Responsible AI
Enterprise platform integration/connectivity

Experience
10-14 yrs