Senior Backend Engineer – Agents (USA Only - 100% Remote)
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$140,000–$210,000
Jul 15, 2026
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Jul 21, 2026
What this job asks for AI summary
This role sits on the Agents team at a CRM company, building and maintaining the core infrastructure behind AI-powered features: a chat assistant with code execution and generated UI, event-driven custom agents, an eval and observability layer, and the orchestration that connects deterministic sales workflows with non-deterministic LLM steps. It suits experienced backend engineers who have shipped agentic systems to real users and are comfortable reasoning about probabilistic outputs, model selection, and production reliability.
Senior level · Remote · Full-time
“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 36,200 people nationally plausibly meet what this posting asks for (software developers). range 15,200–54,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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).
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 (7)
The posting is explicitly open at multiple levels — Software Engineer, Senior, and Staff — with calibration deferred to the interview process. The advertised seniority is therefore Unspecified in the title; the actual requirements (shipping agentic features in production, owning high-stakes systems, reading research) support a Senior baseline.
Python is stated as 'our backbone' and is the primary required language. Go, Rust, and TypeScript appear as illustrative alternatives in the candidate profile section, not as independent hard gates.
Shipping meaningful agentic features to production users is framed as a firm candidate requirement ('You've shipped meaningful, impactful agentic features to users'), making LLM/agentic experience a hard gate.
PostgreSQL and MongoDB both appear in the 'Tech you'll touch' stack narrative rather than a requirements section; they are listed as preferred accordingly. The same applies to Temporal, LangFuse, Pydantic, MCP, and ElevenLabs.
RAG, RLHF, and fine-tuning are mentioned as areas of depth that are desirable ('you've spent serious time in retrieval, RAG, RLHF, or fine-tuning') but framed as optional depth signals, not hard gates; RAG is listed as preferred as the most concrete named technique.
No compensation range is disclosed in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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