Overview
Remote
USD 170,000.00 - 210,000.00 per year
Full Time
Skills
Unstructured Data
Forecasting
Real-time
Mergers and Acquisitions
Asset Management
Legal
Finance
User Experience
FOCUS
Workflow
Customer Facing
React.js
TypeScript
Software Development
Artificial Intelligence
Python
HATS
Collaboration
Communication
Machine Learning (ML)
Data Science
Research
Startups
SaaS
Genetics
Authorization
Law
LOS
Recruiting
Job Details
Join a Series A venture-backed startup building cutting-edge LLM systems for legal and finance-and own core AI features in a fully remote, high-impact engineering role.
This Jobot Job is hosted by: Brandon Bays
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $170,000 - $210,000 per year
A bit about us:
Senior AI Engineer
Location: 100% Remote (US or Canada)
Employment Type: Full-Time
Compensation: $170K-$210K + Meaningful Equity
About Us
Our client is a fast-growing, venture-backed startup transforming how professionals in law and finance extract insights from unstructured data. Their platform enables attorneys and financial experts to forecast, analyze, and negotiate deals with the power of their firm's collective knowledge-turning static documents into real-time, actionable intelligence.
Serving elite firms in M&A, debt finance, asset management, and real estate, this team is reimagining deal execution through AI and LLM technologies. They're backed by leading investors in enterprise AI and are scaling rapidly across the U.S.
Why join us?
Job Details
Key Responsibilities
What You Bring
Bonus If You Have
Compensation & Benefits
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
This Jobot Job is hosted by: Brandon Bays
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $170,000 - $210,000 per year
A bit about us:
Senior AI Engineer
Location: 100% Remote (US or Canada)
Employment Type: Full-Time
Compensation: $170K-$210K + Meaningful Equity
About Us
Our client is a fast-growing, venture-backed startup transforming how professionals in law and finance extract insights from unstructured data. Their platform enables attorneys and financial experts to forecast, analyze, and negotiate deals with the power of their firm's collective knowledge-turning static documents into real-time, actionable intelligence.
Serving elite firms in M&A, debt finance, asset management, and real estate, this team is reimagining deal execution through AI and LLM technologies. They're backed by leading investors in enterprise AI and are scaling rapidly across the U.S.
Why join us?
- Join the frontier of AI for legal and finance workflows
- Ship production-ready AI solutions that solve real business problems
- High ownership, no red tape-work directly on core systems
- Meaningful equity + competitive comp in a high-growth, early-stage company
- 100% remote flexibility with a distributed, collaborative team culture
- Your work will directly shape the user experience for top-tier clients
Job Details
Key Responsibilities
- Design and build scalable AI-powered systems, with a strong focus on LLMs and agentic workflows
- Collaborate closely with engineering and product peers to develop customer-facing features
- Own the full development lifecycle: prototype, test, deploy, and iterate
- Contribute to a modern tech stack using Python, Go, and React/TypeScript
- Work directly with customers to ensure solutions meet real-world needs
What You Bring
- 5+ years of experience in production software development
- Deep familiarity with AI and LLM ecosystems and the latest advancements in agent-based architectures
- Strong skills in Python and/or Go
- Startup-friendly mindset-comfortable wearing multiple hats and taking initiative
- Excellent collaboration and communication skills in a fast-paced, remote environment
Bonus If You Have
- 3+ years in ML, Data Science, or Applied Research roles
- A Master's or PhD in a technical discipline
- Prior experience building or scaling LLM applications
- Background in early-stage startups or enterprise SaaS
Compensation & Benefits
- Base salary: $170K-$210K, depending on experience
- Meaningful equity stake
- Full benefits: health, dental, vision, 401(k)
- Flexible PTO and fully remote work environment
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.