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Job Purpose and Impact:
The Sr. Generative AI Engineer will architect, design and develop new and existing GenAI solutions for the organization. As a Generative AI Engineer, you will be responsible for developing and implementing products using cutting-edge generative AI and RAG to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services in Cargill. You will bring order to ambiguous scenarios and apply in depth and broad knowledge of architectural, engineering and security practices to ensure your solutions are scalable, resilient and robust and will share knowledge on modern practices and technologies to the shared engineering
community.

Key Accountabilities:
Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.
Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.
Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.
Contribute to the establishment of best practices and standards for generative AI development within the organization.
Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
Other duties as assigned

Minimum Qualifications:
Bachelors degree in a related field or equivalent experience
Minimum of five years of related work experience
You are proficient in Python and have experience with machine learning libraries and frameworks
Have deep understanding of industry leading Foundation Model capabilities and its application.
You are familiar with cloud-based Generative AI platforms and services
Full stack software engineering experience to build products using Foundation Models
Confirmed experience architecting applications, databases, services or integrations

Keywords:

• Front-End Frameworks: React
• Core Web Technologies: HTML5, CSS3, JavaScript, TypeScript
• Back-End Frameworks / Libraries: Node.js (Express.js, NestJS) or Python (Flask, Django) or Java (Spring Boot)
• Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Cassandra), Graph Databases (Neo4j)
• Cloud & DevOps: ,pipelines
• APIs: REST, GraphQL, gRPC
• Microservices Architecture
• Authentication & Authorization (OAuth, JWT)

Generative AI key words:

Generative AI Engineer

Agentic Automation

Self-Service AI Platform

LLM (Large Language Models)

Prompt Engineering

Autonomous Agents

AI Workflow Orchestration

LangChain / AutoGPT

Generative AI Infrastructure

MLOps for Generative AI