Agentic AI Engineer Co-Op

Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic reputed company brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of reputed company. Swanson, and V8. Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us. 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 Core 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 reputed company, AutoGen, reputed company, 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, reputed company 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 reputed company, 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 Required Skills & Experience 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) The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law. Originally posted on Himalayas Apply To This Job