Senior AI Engineer – LLM & Agentic Systems
Job Description
TraceGains, a Veralto company based in Broomfield, Colorado, is seeking a Senior AI Engineer to lead their LLM & Agentic Systems initiatives. This role offers an exciting opportunity to work at the cutting edge of AI technology, focusing on large language models and autonomous agents. As part of a $5B global leader (Veralto - NYSE: VLTO), you'll join a company dedicated to ensuring access to clean water, safe food, and medicine.
The position combines technical leadership with hands-on development, requiring expertise in LLM pipelines, autonomous agents, and production-grade AI systems. You'll be responsible for architecting and implementing sophisticated AI solutions while collaborating with cross-functional teams to embed AI into core workflows. The role offers competitive compensation ($150,000 - $170,000) plus bonus potential and comprehensive benefits.
This is an ideal opportunity for an experienced AI engineer who wants to make a real impact in the enterprise SaaS space. You'll work with cutting-edge technologies like LangChain, Hugging Face, and PyTorch while helping shape the future of AI applications in production environments. The company's commitment to diversity and inclusion, combined with its mission of safeguarding vital resources, makes this an attractive position for those seeking both technical challenges and meaningful work.
The remote work environment and supportive team culture provide an excellent foundation for professional growth. You'll have the chance to contribute to innovative solutions while working with a global network of 16,000 associates. If you're passionate about AI, have strong technical skills, and want to be part of transforming how businesses operate through advanced AI systems, this role offers an exceptional opportunity to advance your career while making a significant impact.
Responsibilities For Senior AI Engineer – LLM & Agentic Systems
- 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, and long-horizon task planning
- Own the full lifecycle of AI systems from prototyping through deployment, observability, and optimization
- Evaluate and integrate emerging frameworks 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
- Stay ahead of research and ecosystem trends to drive technical innovation
Requirements For Senior AI Engineer – LLM & Agentic Systems
- Bachelor's or Master's in Computer Science, Machine Learning, or related field
- 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
- Proficient in Python and leading AI frameworks such as Hugging Face, LangChain, OpenAI, PyTorch, and Ray
- Experience with vector databases and agentic orchestration frameworks
- Proven ability to ship LLM-based products at scale
- Familiar with secure deployment, prompt injection mitigation, and responsible AI principles
Benefits For Senior AI Engineer – LLM & Agentic Systems
- Paid Time Off
- Bonus Pay
- Medical/Dental/Vision Insurance
- 401(k)
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