Connect Staffing and Consulting
Founding Machine Learning Engineer Legal AI Platform Seed Stage
Connect Staffing and Consulting - New York, New York, us, 10261
Work at Connect Staffing and Consulting
Overview
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Overview
Founding Machine Learning Engineer – Legal AI Platform (Seed Stage)
About the Opportunity:
Join a stealth-mode, venture-backed legal AI company revolutionizing how in-house legal teams operate. Our cutting-edge platform bridges business and legal functions, leveraging advanced AI to automate, analyze, and optimize legal workflows—from contract redlining and drafting to intelligent Q&A and workflow orchestration. With early traction from multiple design partners and a highly technical founding team (engineers, ex-lawyers, and consultants), we’re gearing up for a major launch in Fall 2025.
Location:
New York City preferred (San Francisco or fully remote considered)
Compensation:
$200K - 250K+ base salary, early-stage equity with significant upside
What You’ll Do
Lead AI/ML Development:
Architect, implement, and scale large language model (LLM) pipelines, leveraging OpenAI, Anthropic, Gemini, and the latest genAI frameworks. Agentic Workflows:
Build and optimize agent-based systems (LangChain, semantic pipelines, retrieval-augmented generation) for automated contract review, document drafting, and legal inquiry resolution. Cross-Functional Collaboration:
Work closely with legal subject matter experts to design, iterate, and refine prompt engineering, evaluation protocols, and feedback mechanisms. Production Excellence:
Optimize model inference, cost, and scalability on cloud platforms (GCP, AWS, or Azure), ensuring high reliability and low latency. Data & Model Operations:
Establish robust data annotation, model monitoring, and continuous improvement pipelines for ongoing performance gains. Founding Team Impact:
Shape the technical vision, mentor future ML hires, and grow into a leadership role (Head of AI, CTO, or similar) as the team expands. What We’re Looking For Deep ML/AI Engineering Experience:
4+ years hands-on building and deploying AI/ML systems, with a strong track record of taking LLM-driven products from prototype to production. Agentic AI Expertise:
Demonstrated experience shipping agent-based or multi-agent solutions (LangChain, custom orchestration, tool-enabled agents, etc.) in real-world environments. Prompt Engineering Mastery:
Advanced skills in prompt design, chain-of-thought reasoning, few-shot learning, and leveraging the latest LLM advancements. Software & Cloud Proficiency:
Expert-level Python, cloud infrastructure (GCP preferred), and scalable ML pipeline development. Stakeholder Communication:
Ability to translate complex technical concepts for non-technical audiences and collaborate effectively with legal and business teams. Ownership & Startup Drive:
Entrepreneurial mindset, bias for action, and excitement for building transformative technology from the ground up. Bonus Points Experience in legal tech, fintech, or other regulated industries Familiarity with LLM evaluation platforms, A/B testing, or human-in-the-loop systems NLP research, information retrieval, or fine-tuning expertise Why Join? You’ll have the rare opportunity to shape the core AI engine of a next-generation legal platform, work alongside world-class founders, and make a direct impact as a founding engineer. If you thrive in fast-paced, high-ownership environments and are passionate about building AI that solves real-world legal challenges, we’d love to connect.
Compensation: $200,000 per year
Architect, implement, and scale large language model (LLM) pipelines, leveraging OpenAI, Anthropic, Gemini, and the latest genAI frameworks. Agentic Workflows:
Build and optimize agent-based systems (LangChain, semantic pipelines, retrieval-augmented generation) for automated contract review, document drafting, and legal inquiry resolution. Cross-Functional Collaboration:
Work closely with legal subject matter experts to design, iterate, and refine prompt engineering, evaluation protocols, and feedback mechanisms. Production Excellence:
Optimize model inference, cost, and scalability on cloud platforms (GCP, AWS, or Azure), ensuring high reliability and low latency. Data & Model Operations:
Establish robust data annotation, model monitoring, and continuous improvement pipelines for ongoing performance gains. Founding Team Impact:
Shape the technical vision, mentor future ML hires, and grow into a leadership role (Head of AI, CTO, or similar) as the team expands. What We’re Looking For Deep ML/AI Engineering Experience:
4+ years hands-on building and deploying AI/ML systems, with a strong track record of taking LLM-driven products from prototype to production. Agentic AI Expertise:
Demonstrated experience shipping agent-based or multi-agent solutions (LangChain, custom orchestration, tool-enabled agents, etc.) in real-world environments. Prompt Engineering Mastery:
Advanced skills in prompt design, chain-of-thought reasoning, few-shot learning, and leveraging the latest LLM advancements. Software & Cloud Proficiency:
Expert-level Python, cloud infrastructure (GCP preferred), and scalable ML pipeline development. Stakeholder Communication:
Ability to translate complex technical concepts for non-technical audiences and collaborate effectively with legal and business teams. Ownership & Startup Drive:
Entrepreneurial mindset, bias for action, and excitement for building transformative technology from the ground up. Bonus Points Experience in legal tech, fintech, or other regulated industries Familiarity with LLM evaluation platforms, A/B testing, or human-in-the-loop systems NLP research, information retrieval, or fine-tuning expertise Why Join? You’ll have the rare opportunity to shape the core AI engine of a next-generation legal platform, work alongside world-class founders, and make a direct impact as a founding engineer. If you thrive in fast-paced, high-ownership environments and are passionate about building AI that solves real-world legal challenges, we’d love to connect.
Compensation: $200,000 per year