D&T Machine Learning Engineer II

General Mills; Mumbai; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

General Mills Digital and Technology India seeks an ML Engineer (Agentic) to join the D&T Global AI and Automation Organization. You will design, implement, and scale agentic AI platforms, build robust connectors, and orchestrate complex agent workflows to deliver business value.

Seeking 5–7 years in software eng and Gen AI experience, with a track record in enterprise integrations and API design. This role emphasizes security, observability, and continual learning within a global AI initiative.

Qualifications

• Bachelor's or master's degree in computer science, AI, DS or closely related field.
• 5–7 years of software engineering or platform development experience with scalable systems.
• 1–2 years hands-on Gen AI and Agentic AI technologies and platforms.
• Proven in designing, deploying, and integrating enterprise-grade connectors.

Responsibilities

• Lead enablement and integration of advanced agentic AI platforms.
• Architect and implement robust custom connectors and integrations.
• Design, test, and secure APIs for agentic workflows.
• Orchestrate complex agent workflows and inter-agent communication.
• Monitor, observe, and improve reliability of agentic pipelines.
• Optimize platform performance and lifecycle management.
• Provide expert troubleshooting for agentic platform issues.
• Create comprehensive technical docs and best practices.
• Ensure security and regulatory compliance in development.
• Maintain a learning mindset and stay updated with AI trends.

Skills

Generative AI

Agentic AI

Python

Java

Go

Education

Bachelor's or master's degree in CS/AI/DS

Tools

LangChain

LlamaIndex

AutoGen

Glean

Job description

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

OVERVIEW

General Mills, Digital and Technology India, is seeking an ML Engineer(Agentic) to join the D&T Global Artificial Intelligence and Automation (AIA) Organization as part of the overall AIA Engineering group. This team builds enterprise-level scalable and sustainable AI solution pipelines and Agentic workflows to serve the AI and Agentic needs of business-impacting problem statements, maintains cloud and agentic platforms, and explores new complementary tooling for AI and Intelligent automation requirements.

In this role, you are a critical member of the AIA team focused on leading efforts dedicated to enabling, optimizing, and scaling our next-generation agentic AI platforms. The candidate will be instrumental in designing and implementing robust custom connectors, ensuring seamless and secure API integrations, and orchestrating complex agent behaviors to unlock new business capabilities.

We are looking for an individual with a strong background in Generative AI and Agentic AI, coupled with a passion for developing, maintaining, and continuously enhancing intelligent systems that deliver significant business value and drive innovation across the enterprise.

KEY ACCOUNTABILITIES

• Advanced Agentic Platform Enablement: Lead the technical enablement, integration, and continuous enhancement of advanced agentic AI platforms, ensuring they adhere to stringent performance, scalability, reliability, and security standards. This includes evaluating new agentic-first platforms, tools and frameworks.
• Custom Connector & Integration Development: Architect, design, develop, and implement robust custom connectors and integration solutions to seamlessly connect diverse data sources, enterprise applications, and external services with our agentic platforms.
• API Design, Testing & Integration: Drive the design, development, and rigorous testing of APIs, ensuring secure, reliable, and efficient integration with both internal and external systems to support agentic workflows.
• Agent Orchestration & Workflow Management: Develop, implement, and optimize sophisticated strategies for orchestrating complex agent workflows, managing inter-agent communication, and enhancing decision-making processes within the platform to achieve desired business outcomes.
• Monitoring, Observability & Reliability Engineering: Overall understanding to collaborate with other engineering teams to establish, implement and support comprehensive monitoring and observability capabilities for Agentic workflows
• Platform Optimization & Lifecycle Management: Conduct ongoing optimization, performance tuning, and lifecycle management of agentic platforms and their underlying capabilities, including bug fixes, security patches, and capacity planning.
• Expert-Level Troubleshooting & Support: Provide advanced technical support and expert-level troubleshooting for complex issues related to agentic platform functionality, integrations, and performance, performing root cause analysis and implementing preventative measures.
• Technical Documentation & Best Practices: Create and maintain comprehensive, high-quality technical documentation for platform architecture, custom connectors, API specifications, operational procedures, and best practices to ensure knowledge transfer and system maintainability.
• Security & Compliance: Ensure all platform development and integrations adhere to enterprise security policies, data privacy regulations, and compliance standards.
• Embrace learning mindset: Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetups

MINIMUM QUALIFCATIONS

Experience & Education:

• Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Data Science, or a closely related technical field.
• 5-7 years of progressive experience in software engineering, platform development, or a related technical field, with a strong focus on building scalable and resilient systems.
• Minimum of 1-2 years of hands-on, in-depth experience specifically with Generative AI (Gen AI) and Agentic AI technologies, platforms and frameworks (e.g., LangChain, LlamaIndex, AutoGen, Glean, etc.).
• Proven track record of designing, developing, and deploying complex integrations and custom connectors for enterprise-level applications.

Technical Skills:

• Expert-level proficiency in at least one modern programming language (e.g., Python, Java, Go) with a strong emphasis on writing clean, efficient, and maintainable