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TraceGains · 1 day ago

Senior AI Engineer – LLM & Agentic Systems

United States

Full-time

Remote

Senior Level

$150K/yr - $170K/yr

5+ years exp

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.

Software

Growth Opportunities

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

Qualification

Large Language ModelsAI/ML EngineeringPythonAPI DesignTransformer ModelsPrompt EngineeringVector DatabasesAgentic AI ArchitecturesSoft Skills

Required

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