Agentic AI Engineer Co-Op Job at Campbell Soup Company

Job Description

An Agentic AI Engineer designs, builds, and deploys autonomous AI systems that can reason, plan, use tools, and execute multi-step workflows with minimal human intervention . Unlike traditional AI/ML engineers who focus on model training and prediction, agentic AI engineers orchestrate goal-driven workflows that integrate models, tools, memory, and business logic to achieve objectives dynamically

Job Responsibility

Design & Develop Agentic Systems: Build intelligent agents capable of autonomous planning, reasoning, and task execution, often using LLMs (e.g., GPT-class, LLaMA), multi-modal models, and autonomous workflows
Orchestration & Frameworks: Implement agent orchestration using frameworks like LangChain, AutoGen, CrewAI, Semantic Kernel, or custom solutions
Retrieval-Augmented Generation (RAG): Design and optimize RAG pipelines for enhanced reasoning with external knowledge, including document ingestion, chunking, embeddings, vector stores, and retrieval ranking
Tool & Memory Integration: Develop agents that call APIs, databases, and other tools, maintain memory, and adapt based on outcomes
Evaluation & Monitoring: Create evaluation frameworks for accuracy, grounding, latency, and cost
build observability for agent behavior and failure modes
Model Adaptation: Fine-tune or adapt foundation models (e.g., via LoRA, adapters) for domain-specific use cases
Production Deployment: Deploy GenAI/agentic systems in cloud-native environments with CI/CD, versioning, and runtime safeguards
Cross-Functional Collaboration: Work with data scientists, ML engineers, product teams, and governance/compliance stakeholders

Requirements

2+ years in AI/ML system design, deployment, or autonomous agent development
Programming: Proficiency in Python (and sometimes Java, C#) for AI/ML solution development
Agent & Workflow Expertise: Experience with agent orchestration frameworks and multi-agent communication protocols
RAG & LLM Integration: Hands-on with RAG architectures, evaluation methodologies, and LLM integration
Cloud & DevOps: Experience with cloud platforms (e.g., Azure, AWS) and CI/CD pipelines
Governance & Compliance: Understanding of responsible AI, security, and compliance in regulated domains (e.g., retail)

What we offer

medical
dental
short and long-term disability
AD&D
life insurance
matching 401(k) plan
unlimited sick time
paid time off
holiday pay
free access to the fitness center (if in WHQ)
access to on-site day care (operated by Bright Horizons)
company store
Campbell’s Cares program matches employee donations and/or volunteer activity up to $1,500 annually
Employee Resource Groups (ERGs)

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Agentic AI Engineer Co-Op

Job Description

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