Forward Deployed Engineer

Forward Deployed Engineer

Location: San Francisco (Preferred) or Remote (U.S.-based)
Position Type: Full-Time (Permanent)
Work Policy: Remote or In-Office (SF preferred)
Start Timeline: ASAP

Compensation

• Base Salary: $150,000 - $180,000

• Equity: Competitive

• Visa Sponsorship: Available for exceptional talent

About
Building the next generation of enterprise work intelligence, transforming how organizations interact with unstructured data. AI-driven systems power workflows across insurance, finance, and healthcareincluding document parsing, information extraction, and enterprise-grade language models.

Role summary
As a Forward Deployed Engineer Data, you’ll build robust data systems that support the deployment of AI agents in high-compliance environments. This includes creating evaluation datasets, partnering with customers, and refining data and context strategies across verticals like insurance and healthcare.

Why join

• Impactful work: Shape how AI integrates into mission-critical industries like insurance, finance, and healthcare

• Enterprise reach: Work directly with Fortune 500 clients and global systems integrators

• Cutting-edge tech: Build with advanced AI models and evaluation systems

• Fast growth: Join a hyper-scaling team with proven traction ($0 to $10M+ revenue in 3 years)

• Flexibility: Fully remote team with SF-based HQ and global reach

Tech environment

• Cloud: AWS, Azure

• Focus: NLP/LLM datasets, evaluation pipelines, enterprise document workflows (insurance, legal, healthcare)

Responsibilities

• Build evaluation datasets and frameworks for regulated domains such as claims processing and audits

• Translate deployment feedback into tangible improvements

• Collaborate with customers and solutions engineers to assess outputs and refine strategies

• Ensure contextual consistency and performance in LLM-based workflows

Must-have qualifications

• 3-5 years of experience working with NLP/LLM datasets or evaluation pipelines

• Hands-on experience with AI models or systems

• Experience partnering with customers on data preparation, model assessment, and strategy refinement

• Familiarity with enterprise document workflows (e.g., insurance, legal, healthcare)

• Familiarity with AWS or Azure environments

• Excellent communication skills and a highly personable demeanor

• Startup experience (ideally in the AI space)

Preferred qualifications

• Background at both Big Tech and fast-scaling AI startups

• Prior experience at companies like Scale AI or in roles such as Data Scientist, FDE, or Context Engineer

• Exposure to customer-facing deployment or enterprise solution roles

• Experience with document intelligence, claims workflows, or contract analysis

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