Forward Deployed Engineer

Sphinx sphinxlabs.ai Open · verified Oct 24, 2026

On-site San Francisco Full-time Mid-level Software Engineering

At a glance

Mid-level Software Engineering role at Sphinx. San Francisco · full-time · $120,000–$200,000 base.

SalaryStated by Sphinx

$120,000 – $200,000

Base salary for this role, in USD per year, as published in the posting.

This role, from SphinxOur estimate for the market: $169,488–$240,000Median $200,000

The range includes the market median of $200,000 for mid-level software engineering roles in San Francisco.

Worked out from 212 postings that stated pay, median $200,000. Last updated Oct 24, 2026.

RoleSoftware Engineering

SeniorityMid-level

LocationSan Francisco

WorkplaceOn-site

EmploymentFull-time

Base pay$120,000–$200,000

PostedOct 20, 2025 · 1y ago

Role brief

techroles summary, based on the employer's posting.

What you'll do

Build browser agents that navigate legacy systems and portals, interpreting page content and handling interface changes
Create integration layers for client setups, adapt agents to local workflows, and deliver fixes in live environments
Develop diagnostic tools and use deployment lessons to improve the product and speed up future rollouts
Turn compliance procedures into agent logic with client analysts, then guide deployments from initial discussions through launch
Build backend and machine-learning systems for fast risk decisions, including inference, caching, queues and resilient data pipelines

What you bring

You can take technical work from design through delivery, spanning agent behavior, backend systems and product features
You build dependable software with careful attention to uptime and failure handling
You can turn client needs into specific engineering requirements and explain technical problems clearly

Who this fits

This mid-level, full-time role is suited to an end-to-end builder who enjoys solving varied client problems and working directly with compliance teams. It is based on-site in San Francisco. The work includes deployments for clients across the U.S., Canada, Europe and Latin America.

From the employer

tl;dr: We’re automating compliance for banks and fintechs with AI agents that work like human analysts – on a browser. Demand is growing faster than we can keep up, and we’re expanding our deployment team to meet the needs of major institutions across the U.S., Canada, Europe, and LatAm. If you love shipping real systems in live environments, solving edge cases in record time, and working directly with clients, we should talk.

PS: want to skip the queue? Save Morty from Rick in our AI-proof coding challenge. If things go well, we'll reach out to organize an interview directly with our CTO. And if you win, we pay you $10k, no questions ask.

Background

Before you can move money or open an account, someone has to make sure you’re not a criminal. That’s compliance – and it’s broken.

Sphinx builds AI analysts that work inside browsers, APIs, and internal systems just like humans — automating AML, KYC, KYB, and transaction monitoring end-to-end.

Our agents already handle millions of compliance decisions across banking, fintech, and crypto. Now, we’re scaling fast, and every new deployment pushes the frontier of what’s possible with AI in production.

Why Join Sphinx

Massive, unsexy market: Banks spend $50B a year hiring thousands of analysts to review alerts and fill out reports by hand. The space has seen very little innovation, and customers complain about our most well-funded competitors weekly. It's not glamorous – until you realize you're building the intelligence layer that protects the entire financial system.
We don’t lose deals: Yes you heard that right, we’ve won every RFP we’ve been in against our competitors.
Small team, big surface area: Our co-founders previously sold an AI company & have built ML systems that scaled to millions of users and closed deals with major banks. The rest of our team in SF includes PhDs, industry experts, and competitive coders.
Hard tech: we’re going from zero to one; our tech is our moat.
Zero startup bullshit: we’re not chasing investors, we’re chasing customers. We’re trusted by leading banks and fintechs across the world. They’ve seen 90% less manual work, 4× lower costs.

Technical Challenges

Browser Agents for the Invisible Web

Most financial crime data isn't accessible via APIs – it lives in legacy systems, government portals, and third-party platforms. We're building agents that navigate these systems like humans do: clicking, scrolling, interpreting unstructured data, and adapting to interface changes. This requires computer vision, DOM understanding, and robust error handling at scale.

Adapting to Live Client Environments

Every deployment is unique. You’ll design flexible integration layers, map complex workflows, and make agents resilient to interface changes and client-specific quirks. You’ll ship fixes in live environments, build diagnostic tools, and feed learnings back into our product to make every deployment faster and smarter.

Human-AI Collaboration

Work directly with compliance officers and analysts to translate SOPs into structured agent logic – capturing human judgment and turning it into repeatable automation. From first call to production rollout, you’ll lead the full lifecycle of deployments, bridging engineering, product, and client success.

Decisions at the Speed of Money

Payments don't wait for compliance. We process risk signals at the same speed money moves – millions of transactions, thousands of entities, sub-second decisions. Doing this right on AWS means distributed inference, caching, queue orchestration, and self-healing data pipelines.

What We Look For

You solve problems end-to-end: Our team owns features vertically. You'll architect agent behaviors, build backend systems, optimize ML pipelines, and ship product features – often in the same week.
You have a high bar for quality: In financial crime, "mostly working" isn't good enough. You build for uptime, obsess over failure points, and ship agents that institutions trust with billions in transactions.
You’re comfortable in ambiguity: No two client environments are alike. You enjoy the challenge of figuring things out as you go, and have confidence in your ability to become fluent with our product.
You communicate with clarity: You’re the bridge between customers and our codebase. You can translate client needs into precise technical requirements and technical issues into clear explanations.
You're energized by impact: Our customers protect the financial system from criminals. Your code directly prevents money laundering and terrorism financing. That matters.
You hate bureaucracy: You’d rather fix the problem than schedule a meeting about it. You’re happiest when you’re building, experimenting, and making things work.