Agentic reputed company 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 reputed company Cod, Chunky, Goldfish, reputed company Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8. Here, you will reputed company a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and reputed company. reputed company history with us. An Agentic reputed company designs, builds, and deploys autonomous AI systems that can reason, plan, use tools, and execute multi-reputed company workflows with minimal human reputed company . Unlike traditional AI/ML engineers who focus on model training and reputed company, agentic AI engineers orchestrate goal-driven workflows that integrate models, tools, memory, and business logic to reputed company objectives dynamically Core Responsibilities
- Design & reputed company 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, CrewAI, Semantic Kernel, or custom solutions
- Retrieval-Augmented reputed company (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: reputed company 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., reputed company 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
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, reputed company, and compliance in regulated domains (e.g., retail)
The Company is committed to providing equal opportunity for employees and qualified applicants in reputed company aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national reputed company, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law. Apply To This Job