Machine Learning Engineer II (Agentic Ai)

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 II (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. **Key Accountabilities** As part of the team, you will be working as an Agentic Engineer to operationalize key strategic Agentic ecosystem capabilities - Lead the technical enablement, integration, and continuous enhancement of advanced agentic AI platforms - Design, develop, and implement custom connectors and integrations for Agentic AI platforms - Drive the design, development, and rigorous testing of APIs - Develop, implement, and optimize sophisticated strategies for orchestrating complex agent workflows - Collaborate to implement monitoring, observability, and reliability for Agentic AI workflows - Optimization, performance tuning, and lifecycle management of agentic platforms and their underlying capabilities, including bug fixes, security patches, and capacity planning. - Provide advanced technical support and expert-level troubleshooting for complex issues related to agentic platform - Create and maintain comprehensive high-quality technical documentation. Ensure all platform development and integrations adhere to enterprise security policies, data privacy regulations, and compliance standards. **Minimum Qualifications** **Education:** Bachelor's or master’s degree **Experience** - 5-7 years of total experience with minimum of 1-2 years of hands-on 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** - Proficiency in Python, Java, or Go with strong coding best practices. - Experience in API design, development, and integration (REST, GraphQL, gRPC). - Expertise in custom connectors and enterprise system integrations (e.g., Salesforce, SAP, ServiceNow). - Experience with Agentic AI frameworks, multi-agent orchestration, and workflow management. - Hands-on experience with Google Cloud Platform (preferred) and Vertex AI. - Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, Splunk). - Working knowledge of MCP, RAG, Vector Databases, Embeddings, Knowledge Graphs, and OAuth. **Soft Skills** - Exceptional problem-solving and analytical capabilities, superior communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders. - Ability to thrive in a fast-paced, dynamic environment, working both independently and as a key contributor within cross-functional teams. - Passion for learning new technologies and solving challenging problems **Preferred Qualifications** - Background in building, maintaining, and supporting traditional ML pipelines in a GCP environment. - Understanding of the Consumer-Packaged Goods (CPG) industry. - Familiarity with AI/ML lifecycle stages and MLOps concepts. - Strong understanding and practical experience with MLOps principles and practices, including CI/CD for AI/ML workflows, model versioning, and deployment strategies. - Experience with containerization technologies (Docker, Kubernetes) and orchestration platforms. - Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) is a plus. - Ability to collaborate cross functional teams and provide tech mentorship to other stakeholders - Strong leadership potential with the ability to mentor junior engineers and drive best practices **ELIGIBILITY** Applicants must meet minimum age qualifications in the country in which the job is located.