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
- Robust 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
- Strong understanding of:
- Agent orchestration
- Tool calling
- RAG architectures
- Vector
📌 Senior Software Engineer-AI (Pune)
🏢 Cummins
📍 Pune