Member of Technical Staff, AI Agents
- Location
- Mountain View, CA (Remote) · Hybrid
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 2+ years
- Listed
- 23 days ago
Skills & highlights for this role
- LLM orchestration
- tool use
- retrieval
- multi-agent workflows
Also useful
- MCP integrations
- eval harnesses
- AWS
- Python
Stated benefits & perks
- Health
- Dental
- Vision
- Unlimited pto
- Commuter benefits
What You’ll Do
- Build agents end to end: LLM orchestration, tool use across a growing set of MCP integrations, retrieval, and multi-agent workflows that automate real investigations.
- Own the layer that makes agents trustworthy - eval harnesses, guardrails, audit trails, human-in-the-loop review. When your agent decides, a bank acts on it.
- Ship fast and close to users: code in prod your first week, direct customer contact, your work catching actual fraud. Design and deliver production-grade AI agents.
- Experiment relentlessly. New models, new techniques, new tooling - you'll have license to try everything and keep what wins.
- Turn frontier into product. You'll spend real time probing what the newest models can do, then ship the parts that survive contact with real fraud cases
- Shape roadmap and strategy with the founders. Small team, zero bureaucracy, maximum ownership.
What We’re Looking For
- A systems thinker. You reason about the whole machine - data flow, failure modes, latency, cost, what breaks at 10x - not just the function you're writing. Agents are distributed systems with a nondeterministic component in the middle; if that framing excites you, keep reading.
- You've shipped real things with LLMs - production systems, prototypes with users, obsessive side projects.
- Deep engineering fundamentals. Frameworks are details you pick up in a weekend (we're mostly Python on AWS). What matters is that you can design, ship, debug, and operate a production system end to end.
- 0 > 1 builder. Ambiguity and speed energize you instead of stressing you out.
- Roughly 2-4 years of engineering experience - or a portfolio that makes that line irrelevant.
- Prior experience in startups is a plus
- Curiosity about fintech, fraud, or building AI where the stakes are real and regulated.
Benefits
We believe in generous, top-tier compensation and benefits:
- Competitive salary and equity benchmarked to top tech companies.
- Paid meals during workdays.
- 100% health, dental, and vision coverage.
- Hybrid schedule - in-office 3 days a week.
- Commuter Benefits
- Unlimited PTO.
About Socratix AI
Socratix AI builds AI coworkers for fraud, financial crime, and compliance teams. Our agents investigate every transaction and user around the clock - gathering evidence across core banking activity, check images, device intelligence, and screening hits so every case opens with the full picture, not a dozen tabs.
As one of our first engineers, you'll shape the technical foundation of Socratix AI (YC S25). We build AI agents that investigate fraud and financial crime for banks, credit unions, and leading fintechs - agents that reason through real cases, gather evidence across systems, and produce decisions that stand up to regulators.
You'll design and ship production AI agents that fraud and compliance teams rely on every day, collaborate directly with founders on product strategy, and partner with both large enterprises and cutting-edge fintechs.
This is a high-impact role with massive scope for growth - you won't just be building features, you'll be defining how agentic AI transforms financial crime operations.
Our Culture: F.O.R.C.E.
We believe the right culture builds unstoppable teams. At Socratix, our values spell F.O.R.C.E. - the driving force behind everything we do:
- First Principles - We start from truth, not tradition, and solve problems in original ways.
- Ownership - What you work on is yours to elevate; we take accountability and act with confidence.
- Relentlessness - We finish what we start, turning obstacles into breakthroughs.
- Customer First - Every decision is measured by one standard: does this make our customers’ lives easier?
- Empathy - We respect differing perspectives, design for human needs, and build trust that lasts.
From Pear VC's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Member of Technical Staff, AI Agents job at Pear VC located?
Yes, this Member of Technical Staff, AI Agents opening at Pear VC is listed as Mountain View, CA (Remote) (Hybrid). Always check Pear VC's application page for specific state eligibility or relocation policies.
What qualifications are required for Member of Technical Staff, AI Agents at Pear VC?
For the Member of Technical Staff, AI Agents role, Pear VC highlights 2+ years of relevant experience; experience with LLM orchestration, tool use, retrieval, multi-agent workflows. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Member of Technical Staff, AI Agents position at Pear VC?
This listing links directly to Pear VC's Ashby application page. You can apply directly on Pear VC's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.