Key Responsibilities

Agentic Solution Development
Design and implement enterprise AI solutions using agentic workflows and orchestration frameworks
Build multi-agent systems leveraging memory, planning, tool use, and MCP-style interactions
Develop production-ready AI workflows integrating enterprise systems, APIs, and business tools
Create reusable prompts, tools, agents, and orchestration pipelines

Enterprise Integration & Automation
Integrate AI agents with enterprise applications, APIs, databases, SharePoint, SAP, ServiceNow, Jira, etc.
Build secure tool-calling and data-access mechanisms for agent workflows
Implement AI-assisted automation use cases across engineering, operations, safety, and business domains

Solution Architecture & Engineering
Collaborate on architecture design for scalable AI systems
Develop backend services, APIs, orchestration layers, and deployment pipelines
Optimize AI workflows for latency, reliability, scalability, and observability
Support cloud-native deployments on Azure/AWS

Value Realization
Work closely with business stakeholders to identify impactful use cases
Quantify business impact including productivity, cost savings, quality improvements, and automation efficiency




Support pilot rollouts and transition of PoCs into production

Collaboration & Innovation
Contribute reusable frameworks, templates, and accelerators
Stay updated with evolving AI ecosystems including OpenAI, LangChain, AutoGen, CrewAI, MCP, and orchestration frameworks
Mentor junior developers and contribute to AI engineering best practices

Required Skills

Technical Skills
Strong programming experience in Python and/or Node.js
Hands-on experience with:
LangChain
LangGraph
CrewAI / AutoGen / Semantic Kernel
OpenAI APIs / Azure OpenAI
MCP concepts and integrations
Experience building REST APIs and enterprise integrations
Robust understanding of
Agent orchestration
Tool calling
RAG architectures
Vector databases
Memory systems
Prompt engineering
Experience with cloud platforms (AWS preferred)
Familiarity with Docker, CI/CD, GitHub, and DevOps practices

Valuable to have Skills
Experience with enterprise AI governance and security
Knowledge of observability frameworks and evaluation methods
Experience deploying AI systems in enterprise settings
Exposure to frontend frameworks (React/Next.js) is a plus

📌 Senior Software Engineer Ai Pune (India)
🏢 Cummins
📍 India