Agentic AI Engineer Co-Op

Campbell Soup
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: []

Design, build, and deploy agentic autonomous AI systems that can reason, plan, use tools, and complete multi-step workflows with minimal human intervention. Own agent orchestration (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel), implement RAG pipelines, integrate tools and memory, and create evaluation and monitoring for accuracy, grounding, latency, and cost. Collaborate with data science, ML engineering, product, and governance teams to productionize GenAI agents in cloud-native environments.

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FursaFursa
Campbell Soup
Campbell Soup
3 months ago

Agentic AI Engineer Co-Op

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 days agoStatus: Live

Job Summary

Design, build, and deploy agentic autonomous AI systems that can reason, plan, use tools, and complete multi-step workflows with minimal human intervention. Own agent orchestration (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel), implement RAG pipelines, integrate tools and memory, and create evaluation and monitoring for accuracy, grounding, latency, and cost. Collaborate with data science, ML engineering, product, and governance teams to productionize GenAI agents in cloud-native environments.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Design and develop agentic systems for autonomous planning, reasoning, and task execution using LLMs, multi-modal models, and autonomous workflows.
  • •Implement agent orchestration frameworks and multi-agent communication protocols, using tools and custom solutions as needed.
  • •Build and optimize RAG pipelines, including document ingestion, chunking, embeddings, vector stores, and retrieval ranking.
  • •Develop agents that integrate with APIs and databases, maintain memory, and adapt based on outcomes.
  • •Create evaluation and observability for agent behavior, including accuracy, grounding, latency, cost, and failure modes; deploy in cloud-native CI/CD environments with runtime safeguards.

Key Requirements

  • •2+ years in AI/ML system design, deployment, or autonomous agent development.
  • •Proficiency in Python (and sometimes Java, C#) for AI/ML solution development.
  • •Experience with agent orchestration frameworks and multi-agent communication protocols.
  • •Hands-on experience with RAG architectures, evaluation methodologies, and LLM integration.
  • •Experience with cloud platforms (e.g., Azure, AWS) and CI/CD pipelines, with understanding of responsible AI/security/compliance in regulated domains.
Experience:2+ yearsAI/MLAutonomous agents
Tech Stack:PythonJavaC#LLMsGPT-classLLaMALangChainAutoGenCrewAISemantic KernelRAGEmbeddingsVector storesLoRAAdaptersAzureAWSCI/CDAPI

Company Brief

Campbell Soup
Produces and markets soups, snacks, sauces, and packaged food products under brands such as Campbell's, Pace, and Swanson. The company serves retail, foodservice, and grocery customers across North America and international markets.
Industry: Food Production
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Camden, United States
Founded: 1869
Glassdoor
Glassdoor: 3.5
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