Varick Agents — Software Engineer

Type: Full-time | On-site | San Francisco, CA (SF Financial District, 5 days in-person) Compensation: $175,000–$225,000 + competitive equity (% not specified) Hiring count: 1 Visa sponsorship: None available Reports to: Not specified

About Varick Agents

Varick Agents is a San Francisco–based enterprise AI startup valued at $30M following a $3.8M seed round. They help enterprises move AI from prototype to reliable production by embedding with customers, auditing their operations, and building the agents, integrations, and workflows required to transform how those businesses run — including the "AI FDE," an agent designed to do the work of a forward-deployed engineer (scoping problems, writing and integrating code, deploying production systems alongside customer teams). Their core thesis: the hardest problem in enterprise AI isn't the model — it's deployment, reliability, and trust.

Founded: 2026 | Team size: 11–50 | Total funding: $3.8M (seed) | Valuation: $30M post-money Industry: AI Tools / Enterprise AI Website: varickagents.com Office: San Francisco, CA (Financial District)

Why Candidates Should Join

• Ship to production, every time: 100% deployment rate — work goes live in real enterprise operations, not into a backlog.
• Real ownership and direction: Shape product, platform, and company direction with direct access to operators and business leaders.
• Compounding leverage: Build on a pattern library so each deployment makes the next one faster — impact compounds.
• Fast path to leadership: The role is scoped so the right hire is ready to lead a small team within 6 months.

The Role

Varick is hiring Software Engineers to build the production agents that run inside enterprise operations at some of the largest companies in the world. You'll work against audit specs from the Forward Deployed Engineer team, ship code daily, and integrate with client systems of record. This is not a slot inside an existing team structure — the expectation is that you'll be ready to lead a small team within 6 months, and that should be obvious from the interview.

What You'll Be Doing

• Build production agents against audit specs handed over from the Forward Deployed Engineer team
• Ship client-specific deployments against existing systems of record (Salesforce, NetSuite, D365, comparable)
• Own code quality — real software engineering, no AI slop
• Take ownership across systems rather than waiting for someone to write a ticket
• Move toward leading a small team within 6 months of joining

Tech stack: Systems of record — Salesforce, NetSuite, D365. AI-native build tooling — Claude, Codex, agent frameworks, API loops.

Requirements

• 1-4 years real software engineering, not vibe-coded only
• Top AI-native startup pedigree
• AI-native: built with Claude, Codex, agent frameworks, API loops
• Low ego, high feedback velocity, ships fast
• Ready to lead small team within 6 months
• SF Financial District, 5 days in-person

Green Flags

• Ships fast, with quality, in the interview itself.
• Visibly excited about agent infrastructure problems.
• Clear systems thinking, not just framework recall.
• "In 6 months they'll be running a team" is obvious from minute 10.

Red Flags

• Can't explain what they shipped without a slide.
• Pushes out vibe-coded slop in the interview.
• Won't take direct feedback.
• Doesn't have a strong technical opinion on anything.

Role Details

Salary$175,000–$225,000EquityCompetitive equityOn-site policySF Financial District, 5 days a week in-personVisa sponsorshipNone availableEmployment typeFull-timeLocationSan Francisco, CA

Interview Process

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Initial Screen Stage 3 — First Round Stage 4 — Second Round Stage 5 — Third Round Stage 6 — On Site Stage 7 — Offer Extended Stage 8 — Candidate Hired — Candidate accepts and starts.

Ideal Companies & Backgrounds

From the role's Nice-to-Have pedigree references. Top AI-native startups — Ramp, Cursor, xAI (or comparable) Selectively considered — Amazon Also in scope — College grads from a top-tier firm or with serious project work to show; candidates with prior agent infrastructure / LLM application experience or active GitHub / open-source contributions

Notes & Flags

• Required Candidate Q&A is partially collapsed on the Contrario page. Only three questions are visible: (1) Basic Information, (2) LinkedIn, (3) Experience. A "Show More" remains unexpanded — the full submission-form question set is not captured here.
• Pedigree is a hard Requirement (per David): "Top AI-native startup pedigree" — candidates without top AI-native startup pedigree are ruled out unless David overrides for a given candidate.
• Experience band (1-4 yrs) is narrow — out-of-range candidates are penalized, not auto-disqualified.
• No intake-call transcript (video only), no Screening Questions, no Ideal Candidate Profiles, and no Rejected Candidate Feedback present in the source.