Platform Engineer
Hark · San Jose, CA
$170,000–$400,000from the description
Jul 15, 2026
San Jose, CA
Jul 21, 2026
What this job asks for AI summary
A backend-heavy engineering role focused on building and owning the core runtime infrastructure for an AI agent platform — covering orchestration, tool execution, memory retrieval, and low-latency streaming pipelines. The work spans from early prototyping with model researchers through to production deployment. It suits an experienced systems engineer with hands-on LLM or agentic systems exposure who is comfortable operating with significant autonomy on a small team.
Senior level · 5+ years · National · Full-time
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
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 (5)
No work location is specified in the posting. The compensation range is US-denominated and the role is described as full-time, but no city, state, or remote policy is stated — location is genuinely unknown.
The compensation range ($170,000–$400,000/year) is unusually wide, likely reflecting flexibility across seniority levels or equity/bonus components folded into a total-comp figure; the posting notes pay may vary by individual factors.
The requirements section names LLMs and agentic systems experience with firm language ('you have built with LLMs… have opinions about what makes agentic systems reliable'), treating it as a hard gate. API design and infrastructure fundamentals are similarly gated. All bonus qualifications (agent frameworks, streaming architectures, execution sandboxes, memory systems, tool integration protocols) are explicitly labeled 'Bonus' and are preferred only.
No specific programming language, cloud platform, or named framework is required or even mentioned by name in the posting — the role is described in terms of systems capabilities rather than specific tooling.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): API design.
Read the full posting
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