AI / ML Engineer

 About The Role  



Project Role AI / ML Engineer




Project Role Description Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.


Must have skills AI Agents & Workflow Integration



Good to have skills Generative AI
Minimum

5 year(s) of experience is required



Educational Qualification 15 years full time education


SummaryWe are seeking a highly skilled and forward-thinking Agentic AI Specialist to lead the design, development, and deployment of autonomous AI agents and workflows. This role is ideal for professionals with a strong foundation in Generative AI and hands-on experience in Agentic AI systems, including multi-agent orchestration, autonomous task execution, and goal-driven workflows
Roles & Responsibilities:
Architect Agentic AI WorkflowsDesign and implement autonomous decision-making systems using LLMs, memory modules, and tool-use frameworks. Multi-Agent SystemsDevelop and optimize collaborative agentic frameworks using LangChain, AutoGen, CrewAI, and Semantic Kernel. Copilot Studio IntegrationApply at least 1 year of practical experience integrating agentic workflows using Microsoft Copilot Studio. Enterprise IntegrationCollaborate with cross-functional teams to embed agentic capabilities into enterprise applications and services. Performance EvaluationMonitor agent performance using metrics such as task success rate, latency, adaptability, and cost-efficiency. AI Safety & GovernanceEnsure responsible AI practices, including observability, compliance, and ethical guardrails.
Professional & Technical


Skills:

Generative AI Expertise4+ years of hands-on experience with GenAI technologies (GPT, Claude, LLaMA, etc.). Agentic AI Development1+ year of experience building or managing agentic workflows using frameworks like AutoGPT, LangGraph, CrewAI. Programming & FrameworksProficiency in Python and experience with LangChain, Hugging Face, OpenAI APIs, and cloud-native patterns (Docker, REST APIs). LLM & Prompt EngineeringStrong understanding of prompt engineering, embeddings, and context management.
Additional Information:

The candidate should have minimum 7.5 years of experience in AI Agents & Workflow Integration.

This position is based at our Bengaluru office.

A 15 years full time education is required.

 Qualification 15 years full time education