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TraceGains

via Talents By Vaia

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[Remote] Senior AI Engineer – LLM & Agentic Systems

Anywhere
Full-time
Posted 11/23/2025
Verified Source
Key Skills:
LLM pipelines
prompt engineering
embeddings
vector search
fine-tuning
autonomous agents
Python
Hugging Face
LangChain
PyTorch
Ray
vector databases
agentic orchestration frameworks

Compensation

Salary Range

$120K - 180K a year

Responsibilities

Design, develop, and deploy advanced AI solutions using large language models and agentic AI architectures.

Requirements

5+ years AI/ML engineering with 2+ years on LLMs, strong Python and AI framework skills, experience with distributed systems and secure AI deployment.

Full Description

Note: The job is a remote job and is open to candidates in USA. TraceGains is a global technology company focused on providing innovative solutions for consumer brands. They are seeking a Senior AI Engineer – LLM & Agentic Systems to lead the design, development, and deployment of advanced AI solutions that utilize large language models and agentic AI architectures. 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. • Other duties as assigned Skills • 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 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 required for department meetings, all company events, in-person seminars/networking events, etc. • Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit screening, where applicable and in accordance with federal and local regulations. • 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. • Food & Beverage and Supplements industry experience a plus, but not required. Benefits • Paid time off • Medical/dental/vision insurance • 401(k) Company Overview • TraceGains is a computer software company specializing in food safety and quality assurance software. It was founded in 2008, and is headquartered in Westminster, Colorado, USA, with a workforce of 51-200 employees. Its website is http://tracegains.com.

This job posting was last updated on 11/28/2025

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