We're a fast?growing legal?tech team building a modern Contract Lifecycle Management (CLM) platform powered by AI. Our aim: transform how organizations manage contracts--speeding up contracting, minimizing risk, and delivering smart insights. CLM is the backbone of enterprise legal operations (X-Team, Wikipedia).
You'll join a culture that sees AI not as a feature, but as the
core development toolchain
, where engineers use AI?driven assistants (like Windsurf, Cursor, GitHub Copilot) to build, iterate, and ship full-stack functionality rapidly.
Role Overview
As our
AI Developer
, you won't just write code--you'll
partner with AI tools
to conceptualize, prototype, and build full-stack features in record time. You'll convert user needs and contract workflows into functioning, AI-driven software--end to end.
This role bridges software engineering, product execution, and AI-engineering--there is
no separation
between front-end, back-end, and model integration:
you do it all.
Key Responsibilities
Use tools like
Windsurf
,
Cursor
, GitHub Copilot, etc., to accelerate development of full-stack features.
Design, prototype, test, and deploy CLM modules: clause extraction, contract review UI, workflow automation.
Integrate
LLMs, vector embeddings, rule engines
, and APIs for tasks like clause summarization, risk detection, redlining.
Collaborate closely with product, legal/contract experts, and UX to translate business needs into AI-first applications.
Optimize for scalability, security, and reliability in production environments.
Continuously evaluate and adopt emerging AI tools and best practices, including
prompt engineering
, new assistive coding workflows, and MLOps pipelines (X-Team).
Ensure ethical and privacy-compliant AI--bias detection, data protection, and auditability are built-in (Wikipedia).
Required Qualifications
3+ years full-stack development (React/Angular/Vue, Node.js/Python/Go, SQL/NoSQL).
Direct, hands?on use of AI?assisted development tools (e.g. Windsurf, Cursor, Copilot).
Experience integrating AI/ML into production apps (LLMs, embeddings, vector DBs, prompt tuning).
Clear understanding of full-stack systems, APIs, databases, deployment pipelines (CI/CD, Docker, cloud).
Strong problem-solving and communication skills--able to work across functional teams.
Preferred (Nice?to?have)
Experience in contract management, procurement, or legal-tech systems like Ironclad or Icertis .
Familiarity with MLOps tooling, prompt engineering ecosystems, or AI governance frameworks.
Background in enterprise SaaS, contract workflows, or B2B product deployment.
Job Type: Full-time
Pay: ?300,000.00 - ?500,000.00 per year
Schedule:
Day shift
Work Location: In person
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