Forward Deployed Engineer
Forward Deployed Engineer
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$ 150000 - 180000
1 Vacancy
Job Description
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: $150000 - $180000
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 youll 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
Employment Type
Full Time
