Lexsy is an AI-native law firm building predictive legal intelligence.

We create agentic systems that continuously monitor a company’s data, identify legal events, propose actions, and execute them — with lawyers in the loop. Our platform already supports high-growth startups (including companies now valued at $500M+), and we’re scaling toward a multi-agent architecture spanning workflows, validation, supervision, and real-time triggers across Slack, HR systems, cap tables, data rooms, and financial tools.

This is a foundational technical leadership role. As Lexsy’s Staff Engineer, you will own core architectural decisions, lead complex execution, and set the technical standard for how we build AI-powered legal systems. You won’t be handed tickets. You’ll be trusted to define solutions.

What you’ll be responsible for:

1. End-to-end problem ownership

For any technical problem, you’re expected to independently determine:

• The right technical approach

• Whether AI is appropriate — or not

• Architecture and tooling choices

• Scope, timelines, and team allocation

• Risks, edge cases, and trade-offs

Your decisions should reflect deep technical judgment and experience operating in ambiguous, high-stakes environments.

2. AI judgment & discretion

Not everything should be solved with LLMs — and knowing the difference matters.

You will:

• Partner with product to decide when AI adds value vs. when deterministic systems are safer

• Anticipate and mitigate common LLM failure modes (hallucinations, brittleness, edge cases)

• Apply industry-standard patterns for reliability, validation, and human-in-the-loop systems
  

3. Engineering leadership & execution

You’ll lead major initiatives and guide engineers through them.

This includes:

• Working closely with junior engineers, product leads, and legal domain experts

• Translating legal workflows into scalable, maintainable systems

• Setting and enforcing high standards for code quality, architecture, and documentation

• Making decisions independently — without needing constant oversight
  

4. Ship fast, without cutting corners

We value speed, but not chaos.

You’ll operate with:

• Rapid prototyping using LLMs and agents

• Tight execution cycles and fast feedback loops

• A strong bias toward shipping — while protecting system integrity and long-term maintainability
  
  What you’ll build in your first 90 days

• Automated legal workflows (e.g., generating documents for a company’s first priced Series Seed round)

• API integrations with platforms like Slack, Carta, and internal data sources

• Event-driven systems and scrapers to detect real-time legal signals (e.g., copyright violations)
  

What we’re looking for

Core Requirements

• 5–8+ years of professional software engineering experience

• 1+ year hands-on building with LLMs (OpenAI, Anthropic, Hugging Face ecosystem)

• Strong systems design and architectural thinking

• Experience deploying and scaling systems on AWS or similar cloud platforms

• High code quality standards; ability to design APIs and interfaces others can build on

• Experience mentoring or managing junior engineers

• Comfort operating in fast-moving startup environments
  

Nice to have

• Experience with legal or compliance-driven workflows

• Integrations with HR systems, billing, cap tables, or data rooms

• Availability in US or Canada time zones

How you operate

We care as much about how you think as what you build.

You likely:

• Have strong technical judgment

• Thrive in ambiguity and incomplete information

• Create clarity for others

• Take full ownership of outcomes, not just tasks
  

What we offer:

• Full-time job (8 working hours per day, Monday-Friday). Please note that we will not consider candidates planning to combine this job with another one.

• Remote work. You may be located in almost any country, just need a good Internet connection, a powerful computer to work from, and the opportunity to adjust your working schedule for the team (from 9 am to 5 pm New York time).

• Innovative environment. Work with business leaders building cutting-edge AI solutions in a high-growth market.

• Stability. This is not project work, we consider only the candidates looking for a long-term commitment of 2+ years.

• Salary will be discussed during the interview. Paid in USD.

Application deadline: ASAP

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