Senior AI Engineer - LLM & Agentic Systems

Full-timeSenior
$150K - $170K/yr

AI Tools

AutoGenCrewAILangGraphSemantic Kernel

Tech Stack

PythonLLMRAGLangGraphCrewAIAutoGenSemantic KernelVector SearchEmbeddings

Agent Workflow

Designing and implementing autonomous agents capable of reasoning, tool use (APIs, plugins), and long-horizon task planning. Building modular LLM pipelines with RAG, embeddings, and orchestration.

About the Role

TraceGains, a Veralto company (NYSE: VLTO), is seeking a Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions that leverage large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI architectures. TraceGains is headquartered in Broomfield, Colorado, and provides networked innovation, quality, and compliance solutions to consumer brands.

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 (APIs, plugins), and long-horizon task planning
  • Evaluate and integrate emerging frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)
  • Ensure performance, safety, and traceability across LLM applications in production environments
  • Report to the Chief Technology Officer

Required Qualifications

  • Bachelor's or Master's 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 designing APIs, distributed systems, and production-grade services

Salary: $150,000 - $170,000. Location: Remote, United States.

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