Machine Learning Engineer II (Agentic Ai)
通用磨坊股份有限公司 · Mumbai, Maharashtra, India
Manufacturing · 10,001+ employees
About the role
The role involves designing, developing, and operationalizing complex Agentic AI workflows and custom connectors within an enterprise environment. You will also be responsible for performance tuning, monitoring, and maintaining the reliability of AI platforms while ensuring compliance with security and data privacy standards.
What they look for
Requirements
Candidates must have 5-7 years of experience, including at least 1-2 years of hands-on work with Generative and Agentic AI technologies. Proficiency in Python, Java, or Go, along with experience in API development and cloud platforms like GCP, is required.
Full 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.
