Agentic AI Engineer Co-Op

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 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

Required Skills & Experience

• 2+ years in AI/ML system design, deployment, or autonomous agent development
• 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)

Company Commitment

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.