AI Engineer, Sr

Pune April 6, 2026 Full Time

Role & responsibilities

Job Title: Agentic AI Developer

Experience: 6-8 years Location: [Pune Location]

About the Role:

We are looking for an experienced Agentic AI Developer to create and improve automation solutions with Agentic AI frameworks. Strong knowledge of large language models, planning-based AI, and cognitive automation is required; RPA/UiPath experience is a plus.

Key Responsibilities:

Agentic AI Development:

Build AI agents are capable of autonomous decision-making, multi-step reasoning, and dynamic task execution using Microsoft Agentic Framework and AI Foundry.
Implement agentic capabilities such as planning, memory, tool usage, and adaptive workflows.
LLM & Cognitive Framework Integration :
Integrate LLMs with agentic features into enterprise workflows.
Develop prompt engineering strategies, tool-chaining pipelines, and memory architectures.
Workflow & System Orchestration:
Design multi-agent and multi-step workflows using AI Foundry or similar frameworks.
Architect scalable, cloud-ready AI systems suitable for enterprise environments.
Integration & Deployment:
Connect AI agents with enterprise systems, APIs, databases, MCP servers, and containerized platforms like AKS.
Ensure performance, scalability, and reliability of deployed agentic AI solutions.
Collaboration & Innovation:
Work closely with data scientists, ML engineers, product owners, and business teams.
Research emerging technologies in agentic AI, cognitive automation, and generative AI to enhance solution capabilities.

Required Skills & Qualifications

Experience:

6 to 8 years of professional experience in AI/ML or automation engineering.
At least 2 years of hands-on work with LLM-based or agentic AI systems.

Technical Expertise:

Proficient in Python and AI development frameworks--
Experienced with AI Foundry or agentic frameworks--
Knowledge of planning engines, tool integration, vector memory, and reasoning models
Familiar with MCP Servers knowledge, Azure (AKS), or other cloud platforms
Skilled in Docker/Kubernetes and cloud-native architectures--

Communication:

Ability to explain complex technical concepts to diverse stakeholders with clarity.

Good-to-Have Skills:

Experience with UiPath/RPA and integrating RPA bots into AI-driven workflows.
Exposure to reinforcement learning, multi-agent systems, and vector databases.
Understanding ethical AI and responsible automation best practices.

What We Offer:

Opportunity to work on next-generation AI + RPA automation projects.
Collaborative and innovative work environment.
Competitive compensation and benefits.

Preferred candidate profile