[Remote] Agentic AI Engineer Co-Op
Note: The job is a remote job and is open to candidates in USA. The Campbell's Company is a well-established organization known for its iconic food brands. They are seeking an Agentic AI Engineer Co-Op who will design, build, and deploy autonomous AI systems capable of reasoning and executing workflows with minimal human intervention.
Responsibilities
- 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
Skills
- 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 with RAG architectures, evaluation methodologies, and LLM integration
- Experience with cloud platforms (e.g., Azure, AWS) and CI/CD pipelines
- Understanding of responsible AI, security, and compliance in regulated domains (e.g., retail)
Company Overview
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