Lexsy is an AI-native law firm building predictive legal intelligence.
We create agentic systems that continuously monitor a companys 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 were 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 Lexsys 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 wont be handed tickets. Youll be trusted to define solutions.
What youll be responsible for:
1. End-to-end problem ownership
For any technical problem youre 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
Youll 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.
Youll 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 youll build in your first 90 days
Automated legal workflows (e.g. generating documents for a companys 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 were looking for
Core Requirements
58 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.
Application deadline: ASAP
Hire5 provides aspiring talents worldwide with remote opportunities to enhance their careers in Silicon Valley startups and other US-based companies.
Interested in joining one of the most promising US startups
Press here to apply now or click connect on to subscribe for future opportunities in your desired profession!
Lexsy is an AI-native law firm building predictive legal intelligence.We create agentic systems that continuously monitor a companys data identify legal events propose actions and execute them with lawyers in the loop. Our platform already supports high-growth startups (including companies now valu...
Lexsy is an AI-native law firm building predictive legal intelligence.
We create agentic systems that continuously monitor a companys 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 were 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 Lexsys 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 wont be handed tickets. Youll be trusted to define solutions.
What youll be responsible for:
1. End-to-end problem ownership
For any technical problem youre 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
Youll 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.
Youll 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 youll build in your first 90 days
Automated legal workflows (e.g. generating documents for a companys 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 were looking for
Core Requirements
58 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.
Application deadline: ASAP
Hire5 provides aspiring talents worldwide with remote opportunities to enhance their careers in Silicon Valley startups and other US-based companies.
Interested in joining one of the most promising US startups
Press here to apply now or click connect on to subscribe for future opportunities in your desired profession!
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