Software Engineer (Backend / AI Infrastructure)

• →0–8 years of experience in software engineering, backend, or AI-adjacent work [Required]

• Currently working on AI/agent-related projects [Must have]
• Experience scaling systems at startups or big tech [Required]
• Built backend systems, data pipelines, or automation infrastructure [Required]
• Worked with large codebases and iterated quickly in Python [Required]
• Comfortable navigating and contributing to large codebases [Required]

• Computer Science degree preferred [Strongly preferred]

• Strong Python proficiency for rapid iteration [Must have]
• Experience with high-concurrency backend infrastructure (FastAPI, queuing, Redis) [Required]
• Experience with agent SDKs, LLM tooling, or RL pipelines [Strongly preferred]

• Primarily a manager; not hands-on with code daily

Salary$180K–$280KEquityCompetitive equityOn-site policyOn-site in San Francisco. Relocation support available for the right candidate.Visa sponsorshipNot availableEmployment typeFull-timeLocationSan Francisco, CA

1. Are you able to work on-site full-time in San Francisco? If you're not currently based there, are you willing to relocate?
2. Do you require visa sponsorship to work in the United States?
3. Can the candidate be on-site? If not, is the candidate willing to relocate?
4. What is their salary expectation?
5. How actively is this candidate exploring new opportunities?

Stage 6 — Candidate Hired Candidate accepts the offer and starts.

Updated Jun 8, 2026

Frontier AI labs and agent-focused startups (LLM agents, RL, post-training, computer use) OpenAI, Deepmindz Innovations, xAI, Cognition, Adept AI, Sierra Air Conditioning Inc., Factory AI, Daytona, E2B

High-growth Series A–C startups with strong backend/platform engineering teams (fast-moving, engineers wear many hats and scale systems) Dagster Labs, Hexaware Technologies, Retool, Railwaymen, Render, Vercel, Supabase, NEON | An IPG Health Company, Temporal Technologies, Prefect

Big tech companies with AI/agent or distributed systems teams (1–3 years, AI-related projects at scale) Google DeepMind, NVIDIA, Apple, Meta

Likely Paraform name/logo mismatches in the lists above (auto-matched to the wrong entities): "Sierra Air Conditioning Inc." almost certainly means Sierra (the AI agent company); "Deepmindz Innovations," "Hexaware Technologies," "Railwaymen," and "NEON | An IPG Health Company" appear to be mis-resolved (e.g., Neon, the Postgres company). Sanity-check before sourcing against these names.

For reference only — do not source these specific profiles.

Aaditya Yadav — LinkedIn Software Engineering at the University of Waterloo | Waterloo, Canada

• (No fit reasons provided by the hiring manager.)

• Candidates must show clear examples of hands-on AI agent/LLM infrastructure work, with direct experience building and scaling high-concurrency backend systems (e.g. FastAPI, Redis, queuing).
• Source candidates who can demonstrate rapid iteration in large Python codebases at growth-stage startups or big tech — not just theoretical or academic backgrounds.
• Prioritize candidates with explicit, verifiable detail on distributed agent coordination and RL pipeline implementations over vague or unsupported claims.
• Fraud watch: A recent submission was rejected as "the profile appears fraudulent." Profiles on this role have been flagged for fabrication — apply extra verification scrutiny.