Senior Systems Engineer at Peraton
UNAVAILABLE
$80,000–$128,000from the description
Jul 1, 2026
UNAVAILABLE
Jul 21, 2026
What this job asks for AI summary
A senior technical role focused on architecting and operationalizing large language model capabilities within a cloud-based analytics environment. Day-to-day work centers on building and overseeing LLM pipelines — including fine-tuning, retrieval-augmented generation, and agentic frameworks — while setting governance standards and guiding other engineers. Suits an experienced AI/ML practitioner comfortable leading both hands-on development and cross-team technical strategy.
Mid level · 2+ years · Remote · Full-time
Advertised as Senior, but the requirements read as Mid.
“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 9,200 people nationally plausibly meet what this posting asks for (software developers). range 1,900–13,800
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
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 $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
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 title is 'Senior Systems Engineer' but the role is substantively an LLM/AI software engineering position — designing, building, and deploying LLM pipelines and RAG systems. SOC 15-1252 (Software Developers) is the best fit; 15-2051 (Data Scientists) is a plausible runner-up given the ML modeling depth.
The experience requirement is tiered by degree: 0 years with a Master's, 2 years with a Bachelor's, 4 years with an Associate's, 6 years with a high school diploma. The minimum stated is 0 years (MS/MA), so the overall years minimum is set to 2 (BS/BA path, the most common case). No degree is hard-required — equivalent experience is accepted at every tier, so the degree requirement is None.
The clearance gate is 'ability to obtain/maintain a Public Trust' — this is a suitability determination, not a formal US security clearance level (Confidential/Secret/TS). The clearance requirement is set to None accordingly, though candidates must be US citizens or Green Card holders resident in the US for 3 of the last 5 years.
The advertised title is 'Senior' but the minimum experience floor (0–2 years with a graduate/bachelor's degree) and the overall scope align more closely with a Mid-level role on the actual requirements.
GPU-accelerated training and distributed compute are listed together as a single requirement in the mandatory qualifications; GPU-accelerated training is used as the canonical skill name.
LangChain and LlamaIndex are presented as interchangeable examples ('such as LangChain, LlamaIndex') within the mandatory qualifications, so they are captured as one skill with alternatives.
Databricks, Snowflake, and Spark appear together as examples under Preferred Requirements and are captured as one skill with alternatives.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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