Software Engineer (Agent Platform) - Intern - 2026-2027 at Netic
San Francisco, CA
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Jul 15, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A 12-week internship on an Agent Platform team, focused on building the infrastructure that lets AI agents create, test, and improve other agents. Day-to-day work spans orchestration layers for multi-agent workflows, execution sandboxes and evaluation loops, and an internal system where agents propose and roll out changes to other agents. Suits candidates with Python and TypeScript fundamentals and some exposure to LLM tooling, even through coursework or personal projects.
Junior level · National · Internship
“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)
This is a 12-week internship role (multiple headcount), with start dates ranging from winter 2026 through summer 2027. No location is specified in the posting; the company (Netic) appears US-based but no city or remote policy is stated.
Python (asyncio, FastAPI) and TypeScript (Node, React) are listed under the 'What You'll Learn / Bring' section with the word 'Comfort with', which reads as a required baseline rather than a nice-to-have — treated as hard gates given the framing alongside CS fundamentals.
LLM APIs, eval frameworks, RAG, and agent frameworks (LangChain, MCP, or similar) are explicitly called out as not requiring production experience ('curiosity is' sufficient), so these are marked preferred.
No compensation figures are mentioned in the posting.
Distributed systems is listed as a CS fundamentals expectation but names no specific technology or tool, so it is omitted from the skills list per extraction rules.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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