Software Engineer - Platform & Application at Boson AI
Santa Clara HQ
$150,000–$270,000
Jul 21, 2026
Santa Clara HQ
Jul 23, 2026
What this job asks for AI summary
An early-career backend/infrastructure role focused on building and maintaining the platform that underpins AI model APIs and agentic products. Day-to-day work spans API serving, distributed services, data pipelines, internal SDKs, and observability tooling, with mentorship from senior engineers and real production responsibility from the start. Best suited to recent graduates or engineers with up to two years of experience who want hands-on exposure to distributed systems in an AI context.
Junior level · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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
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 (6)
No work location or city is specified in the posting; CBSA is left blank. The role appears to be at a startup (Boson AI) with no stated remote/on-site policy.
The 0–2 years experience range, explicit 'early in their career' framing, and mentorship emphasis all firmly place this at the Junior level despite the title carrying no level word.
Python/Go/Java/Rust/C++ are listed as 'at least one language such as…' — a single-language proficiency is the hard gate; the named languages are treated as interchangeable alternatives under that gate.
AWS/GCP and Docker/Kubernetes are listed together as 'basics of cloud infrastructure' and 'containers' respectively — each pair is treated as interchangeable alternatives for a single required familiarity gate. The posting explicitly allows 'clear enthusiasm to learn them quickly' as a substitute, but they appear in the required qualifications section.
Kafka/Kinesis, Spark/Flink, Airflow, and LLM serving experience all appear under 'Bonus points' and are marked as preferred accordingly.
No compensation range is stated in the posting.
Read the full posting
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