Gulf Coast Automation Group LLC
Job Description:
Founding ML Engineer
Location:
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)
Founding ML Engineer
Location:
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)