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Location: Hybrid - New York
Compensation: $160,000 - $250,000
We are a fast-growing legal technology company, founded by a mix of legal operators and tech veterans from top-tier companies, focused on solving high-impact problems in the legal world. We are turning chaos—repetitive tasks, paper-based bottlenecks, and data fragmentation—into clarity using well-designed systems, AI, and thoughtful software. We are seeking a Software Engineer to own critical features end-to-end and influence our engineering culture from the ground up.
You will be responsible for building fast, shipping often, and partnering closely with cross-functional teams (product, ops, design, and legal experts). This role demands high ownership, requiring you to manage the full feature lifecycle from architecture design to production release. You must move quickly without sacrificing quality, integrating safety, observability, and performance from the start.
What you'll do:
- Own Major Features: Design, build, and ship production-grade full-stack systems across our core workflows (Python/Django, React)
- AI Integration: Implement and scale features that utilize AI/LLM capabilities (OpenAI & more) to automate complex administrative and data-intensive legal work
- Collaborate Cross-Functionally: Partner closely with product, operations, design, and legal experts to define requirements and deliver high real-world impact
- Move Fast, Safely: Build in safety, observability, and performance from the start, ensuring high-quality releases in a rapid development environment
- Set the Standard: Help shape and influence our engineering culture, tech stack, and best practices as a key early team member
- Experience: 3+ years of experience building reliable, secure software in production environments
- Full-Stack Comfort: Comfortable working full-stack across our primary technologies (we use Python/Django, React, AWS, and AI tools)
- Quality & Reliability: Writes clean, maintainable code and cares deeply about testing, observability, and performance
- Mindset: Thrives in ambiguous environments, takes pride in figuring things out, and is decisive and pragmatic
- Product Focus: Cares as much about product outcomes and solving real-world customer problems as about technical decisions
- Work Policy: Ability to work in-person 4 days/week in our NYC office (Flatiron) for high-context collaboration (Hybrid)
- Experience range: 3 - 10 years of full-stack engineering experience
- Visa sponsorship is not available for this role
- Salary & Equity: Highly competitive salary range of $160,000 - $250,000 (Flexible for exceptional talent), plus Competitive Equity
- Health & Wellness: 100% coverage for health, dental, and vision insurance
- Perks: Generous $500/month tooling stipend for productivity and dev tools, plus in-office snacks, drinks, and daily team dinners
- Time Off & Retirement: Flexible PTO (we trust you to take the time you need) and a 401(k) plan
- Impact: A foundational role in a fast-growing, well-funded company, transforming a historically chaotic industry using next-generation AI tools
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
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