3 months ago
Bengaluru, IndiaSenior
Responsibilities
- Lead development of agentic AI workflows, AI assistants, and multi-agent automation solutions.
- Design scalable Python microservices, APIs, LLM/RAG, retrieval, and vector-search architectures.
- Implement prompt engineering, response grounding, caching, and performance optimization strategies.
- Drive testing, debugging, security, reliability, and production support for AI applications.
- Own monitoring, observability, incident management, and operational excellence practices.
- Collaborate with cross-functional teams and product owners to deliver secure, scalable, business-focused AI solutions.
- Manage AI solution lifecycles from experimentation through production while adhering to architecture, governance, cybersecurity, and Responsible AI standards.
Requirements
- At least 4 years of relevant work experience; the posting typically reflects 5 or more years.
- Experience with cloud-native AI/ML or GenAI systems, including 3 or more years on Azure, AWS, or GCP, or 2 or more years of software development experience.
- Strong expertise in Python, cloud-native technologies, APIs, CI/CD, containerization, LLM/RAG frameworks, vector databases, and AI platforms.
- Experience with Copilot Studio, ChatGPT, Power Automate, Salesforce, and Service Cloud.
- Ability to develop secure, scalable, observable, and cost-efficient services or agents.
Tech Stack
Categories
About Cargill
Cargill builds and operates global food and agriculture supply chains, selling commodities, food ingredients, animal nutrition, and risk-management services to food manufacturers, retailers, and farmers. It trades and processes grains, oilseeds, cocoa, and proteins, and provides logistics and biofuel solutions. Founded in 1865 and headquartered in Wayzata, Minnesota, Cargill is privately held and family-owned.