Senior AI Engineer LLM & Agentic Systems

About the Role

Key Responsibilities

• Architect robust, modular LLM pipelines including prompt engineering, embeddings, vector search, fine-tuning, and orchestration.
• Design and implement autonomous agents capable of reasoning, tool use (e.g., APIs, plugins), and long-horizon task planning.
• Own the full lifecycle of AI systems from prototyping through deployment, observability, and optimization.
• Evaluate and integrate emerging frameworks (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel) to build next-gen agentic capabilities.
• Ensure performance, safety, and traceability across LLM applications in production environments.
• Lead cross-functional collaboration with data science, platform engineering, and product teams to embed AI into core workflows.
• Stay ahead of research and ecosystem trends to drive technical innovation and strategic differentiation.
• Perform other duties as assigned.

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field; PhD is a plus.
• 5+ years of experience in AI/ML engineering, including 2+ years focused on LLMs or NLP-based systems.
• Deep understanding of transformer models, prompt strategies, embeddings, fine-tuning, and RAG pipelines.
• Strong software and systems engineering skills, including experience in designing APIs, distributed systems, and production-grade services.
• Proficient in Python and leading AI frameworks such as Hugging Face, LangChain, OpenAI, PyTorch, and Ray.
• Experience with vector databases (FAISS, Pinecone, Weaviate) and agentic orchestration frameworks.
• Proven ability to ship LLM-based products at scale in enterprise or SaaS environments (on-prem or cloud).
• Familiar with secure deployment, prompt injection mitigation, and responsible AI principles.
• Occasional travel for department meetings, company events, seminars, and networking.
• Successful completion of a background screening process including employment verification, criminal search, OFAC, SS verification, and credit screening where applicable.

Nice to Have

• Experience building multi-agent or tool-using systems for automation or decision-making.
• Familiarity with reinforcement learning, planning algorithms, or memory-augmented agents.
• Prior contributions to open-source agentic AI frameworks or research papers in generative AI.
• Track record of mentoring junior engineers and guiding architectural decisions.
• Experience in the Food & Beverage and Supplements industry is a plus but not required.

Qualifications

• Educational background in Computer Science, Machine Learning, or related fields; PhD is a plus.

Benefits & Perks

• Comprehensive package including paid time off, medical/dental/vision insurance, and 401(k).