Senior Software Engineer-AI

Cummins; Pune District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Cummins seeks an experienced AI engineer to design and implement enterprise AI solutions using agentic workflows and orchestration. You will build multi-agent systems that leverage memory, planning, and tool use, and integrate AI workflows with enterprise APIs and business tools.

Join us to craft scalable architectures, develop backend services, and optimize AI workflows for latency, reliability, and observability while collaborating with stakeholders to realize business value.

Qualifications

• Strong programming experience in Python and/or Node.js.
• Hands-on experience with LangChain, LangGraph, CrewAI / AutoGen / Semantic Kernel, OpenAI/Azure OpenAI.
• Experience building REST APIs and enterprise integrations.

Responsibilities

• 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.

Skills

Python/Node.js

LangChain

LangGraph

CrewAI / AutoGen / Semantic Kernel

OpenAI / Azure OpenAI

MCP concepts & integrations

Agent orchestration

Tool calling

RAG architectures

Vector databases

Memory systems

Prompt engineering

Docker

CI/CD

GitHub

DevOps practices

AWS

REST APIs

Tools

Docker

CI/CD

GitHub

Job description

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

• Strong 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