Senior Machine Learning Engineer (LLMs - Agentic Workflows) at Factored
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Jul 14, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior-level engineering role focused on building agentic AI systems — specifically, designing and deploying LLM-based architectures that can plan, use tools, manage state across multi-step tasks, and self-correct. Day-to-day work spans implementing reasoning patterns, creating LLM-to-API interfaces, building evaluation and monitoring frameworks, and enforcing safety guardrails. Suits engineers with substantial production ML experience and hands-on background in agentic and generative AI frameworks.
Senior level · 5+ years · Remote · Contract
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 830 people nationally plausibly meet what this posting asks for (data scientists). range 240–1,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The posting is framed as a 'Complete engagement job' (Factored's term for a contract/staffing engagement placing LATAM talent with U.S. clients), so the employment type is set to Contract.
The degree requirement lists Bachelor's or Master's in CS/Statistics/Mathematics or a related field, but the broader posting emphasizes results over credentials; because no single degree level is hard-gated and equivalent experience is implicitly accepted in Factored's culture, the degree requirement is set to None.
SOC classification is Medium-confidence: the role is titled 'Machine Learning Engineer' with heavy software-engineering responsibilities (system design, API integration, production deployment), making 15-1252 Software Developers a genuine runner-up. The primary day-to-day work — designing ML/AI agent systems, evaluation frameworks, and model-centric architectures — tips toward 15-2051 Data Scientists.
Python is inferred as a hard requirement from the explicit mention of 'executes Python code in a sandboxed environment' and the overall ML engineering context, even though it is not listed in a named skills bullet.
LangGraph, OpenAI API, and Claude API are listed alongside LangChain as acceptable alternatives for the generative AI frameworks requirement ('such as LangChain, LangGraph, OpenAI, and Claude').
No compensation figures are provided in the posting.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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