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

- Solid 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

Good to have Skills

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

📌 Artificial Intelligence Engineer (Pune)
🏢 Cummins
📍 Pune