Sr. Software engineer Ag & Trading (GenAI, RAG, LLM, Python Scripting)
Share
Job Location:
Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Purpose and Impact
- The Senior AI Platform Engineer for AI Assistants & Agents in AI & Data Science builds services to operate Cargills portfolio of GenAI Assistants and Agents - including ChatGPT-powered copilots and bespoke LLM services. You will translate product requirements into secure efficient and observable services and or agents; manage the lifecycle from experiment to production; and continually improve reliability latency and cost. Typical deliverables span REST services vector-search back end LLMOps & AgentOps pipelines and rich front-end components for knowledge workers and plant operators. Expect to collaborate daily with product managers data scientists cloud engineers and security teams while acting as the technical authority for GenAI feature design and launch.
Key Accountabilities
- SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean maintainable and efficient codes.
- AUTOMATION: Leads the application of internal software deployment platform methodologies and tools to automate the deployment process ensuring smooth and reliable releases.
- COLLABORATION: Partners with cross functional team of product managers designers and different engineers to gather complex requirements and deliver solutions that meet business needs.
- TESTING & DEBUGGING: Writes and maintains complex unit tests and integration tests and performs debugging to maintain the quality and performance of the software.
- CONTINUOUS IMPROVEMENT: Suggests options for improving the software development and deployment processes and implements the approved standards to improve efficiency and reliability.
- DOCUMENTATION: Builds and maintains comprehensive documentation for complex software applications deployment processes and system configurations.
- TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.
- ESSENTIAL FUNCTIONS:
- Design & Build
- Develop multi-agent workflow automation patterns using Agentic AI
- Process redesign and mapping to agentic workflow patterns
- Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).
- Implement robust prompt-engineering patterns retrieval pipelines and caching for AI Assistants and AI Agents
- Platform Ops
- Extend evaluation automated testing canary rollout and rollback for AgentOps.
- Profile inference latency GPU/CPU utilization and memory; deliver quarterly cost-to-serve reductions
- Lead bug-fix security-patch and performance-tuning sprints for live AI Assistants and AI Agents
- Operational Excellence
- Own on-call runbooks SLOs and incident reviews; embed observability
- Enforce Responsible-AI guardrails data-privacy controls and vulnerability-management policies for AI Assistants and AI agents
- Enablement & Mentoring
- Coach full-stack and data-science peers on GenAI/LLMOps patterns; create internal workshops and tech blogs.
Qualifications
- Minimum: 8 years building production software or data platforms .
- 8 years of experience working with enterprise level AI Technologies like LLMs cloud-native AI/ML and GenAI systems
#HiPo
Required Experience:
Senior IC
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
About Company
Cargill, Incorporated is an American privately held global corporation based in Minnetonka, Minnesota, and incorporated in Wilmington, Delaware. Founded in 1865, it is the largest privately held corporation in the United States in terms of revenue.
