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Campbell's

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1869

👥 B2C

🛒 Retail

B2C • Retail • Food & Beverage

Campbell's is a food company known for its wide range of products, including soups and packaged goods. It operates with a focus on inclusion and diversity, offering careers across the United States, Canada, and Latin America. Campbell's has integrated brands such as Rao's, Michael Angelo's, and noosa into its product family, emphasizing its commitment to delivering real food. The company values its workforce and offers diverse career opportunities in manufacturing, distribution, sales, and office roles. Its headquarters are located in Camden, New Jersey. Campbell's is dedicated to fostering strong shopper loyalty through consumer knowledge and collaborative solutions. It is a company that believes in enriching its culture through its people and offering benefits that promote work-life balance.

📋 Description

• 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)

🏖️ Benefits

• Professional development opportunities