Founding ML Engineer - Gulf Coast Automation Group LLC : Job Details

Job Description:Founding ML EngineerLocation: Strongly Preferred New York City (4 days/week) Position Type: Full-Time (Permanent) Work Policy: Remote, Hybrid, or In-Office (U.S. only) Start Timeline: ASAP Work location & travel expectations Preferred Office: NYC (4 days/week) Alternate: SF with 1 week/month NYC travel Remote: U.S. only; must travel to NYC 2 weeks/month during initial ramp-up phase Compensation Base Salary: $0 $200,000 (dependent on interview performance, level, and location) Equity: Competitive About A legal AI startup reinventing how in-house legal teams operate by automating slow and repetitive workflows.

• Founded: 2025
• Stage: Seed (Raised $3M)
• Traction: Already has customers and ~10 design partners
• Backed by: Sequoia
• Platform: Legal intake and automation hub supporting redlining, drafting, and Q&A via customizable AI agents
• Public Launch: Planned for Fall 2025

Role summary Hiring the first ML engineer to productionize legal AI workflows. This is a senior-level role focused on architecting agentic systems using LLMs, building scalable evaluation frameworks, and owning end-to-end deployment. Youll collaborate directly with founders, take full ownership of ML systems, and play a foundational role in shaping the AI stack. Why join

• Join a Sequoia-backed AI startup from the ground floor
• Define core ML architecture and ship agentic legal AI products
• Grow into Head of AI or CTO as company scales
• High-impact technical role with leadership trajectory
• Relocation support up to $10K for the right candidate

Tech environment

• Core Stack: Node, React, GCP, Postgres
• ML Tools: Python, OpenAI, LangChain (or equivalent), cloud ML

Responsibilities

• Architect and deploy LLM-based pipelines using OpenAI, Anthropic, Gemini, etc.
• Build agentic solutions for document redlining, Q&A, and legal drafting
• Collaborate with legal SMEs to refine prompt strategies, evaluation metrics, and feedback loops
• Optimize inference for latency, cost, and reliability on GCP
• Implement data annotation, model monitoring, and CI/CD for ML
• Mentor future ML hires as team scales

Must-have qualifications

• 4-5 years ML/AI engineering experience, including production LLM work
• Proven examples of shipped agentic solutions (e.g., multi-agent systems, tool-enabled agents)
• Hands-on expertise with prompt engineering, chain-of-thought, and few-shot techniques
• Strong Python engineering skills and experience deploying to cloud (preferably GCP)
• Ability to work with non-technical stakeholders and translate needs into ML pipelines
• Ownership mentality and ability to thrive in a startup environment

Preferred qualifications

• Experience in legal-tech or other regulated industries
• Familiarity with LLM evaluation platforms and A/B testing methodologies
• Background in NLP fine-tuning or information retrieval
• Transitioned from SWE MLE

Must NOT have

• Experience limited to research-only ML roles
• Career background exclusively at non-tech or legacy companies (e.g., banks, healthcare, Cisco, Oracle, etc.)

Interview process

• Founder Intro Call (30m): Informal chat or coffee (Zoom or in-person)
• Technical Interview (60m):
• 30m design/architecture discussion
• 30m coding assessment (candidate choice of language + IDE)
• Half-Day Onsite: Details TBD

Required Skills: • Gcp • Coffee • A/B Testing • Chat • CI/CD • Pipelines • Zoom • Ownership • Hiring • Salary • React • Healthcare • Compensation • Metrics • Travel • Reliability • Architecture • Automation • Oracle • Testing • Design • Engineering • Python • Leadership Salary Package: $ 0.00 - 200,000.00 (US Dollar)