Forward Deployed Engineer-Healthcare AI

You will work directly with healthcare customers, understand complex data challenges, build the solution, deploy it, and help turn successful customer implementations into scalable platform capabilities.

What You’ll Work With

**Python SQL Data Pipelines Batch Processing Structured & Unstructured Data HL7/FHIR PHI/HIPAA AWS/GCP/Azure REST APIs Data Integrations**

What You’ll Do

• Own customer engagements from **scoping through delivery**
• Translate ambiguous requirements into working production solutions
• Build large-scale pipelines for **EHR, claims, imaging, genomics, and other healthcare data**
• Work directly with customer engineering teams and data partners
• Build last-mile solutions when the platform doesn’t fully meet customer needs
• Identify repeatable patterns and help turn them into scalable product capabilities
• Work across the stack with a **strong spike in data engineering**

What We’re Looking For

Strong data engineering experience at scale

Experience building **batch data pipelines** for large volumes of structured and unstructured data

Strong SQL and ETL skills

Customer-facing technical experience

Ability to own projects end-to-end

Experience as a **founding engineer, early startup engineer, FDE, or similar high-ownership role**

Working understanding of AI/ML training workflows

Healthcare data experience, especially **PHI/HIPAA, HL7/FHIR**, is a strong plus

Comfortable adapting quickly when customer requirements change

Ideal Background

We’re especially interested in engineers coming from:

VC-backed FDE companies

Early-stage/high-growth startups

Big Tech with broad technical ownership

Data-heavy or healthcare technology environments

The strongest candidates are **technical generalists who can go deep in data engineering and are comfortable talking directly with customers.**

This Role Is For You If...

You enjoy solving problems that don’t have a perfect specification.

You can walk into a customer environment, understand the problem, challenge assumptions when needed, and build something that actually works.

You’re comfortable moving quickly when a deal is live — including occasional nights or weekends when deadlines require it.

Not a Great Fit If…

Your AI experience is mostly surface-level

You prefer a strict 9-to-5 environment

You want to work only on one long-term product

You don’t have strong hands-on data engineering experience

You haven’t worked directly with customers or owned delivery end-to-end

Thanks & Regards

Wazeer Khan & Abbas Khan

Pay: $220,000.00 - $320,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Parental leave
• Professional development assistance
• Retirement plan
• Vision insurance

Application Question(s):

• Python • SQL • Data Pipelines • Batch Processing • Structured & Unstructured Data • HL7/FHIR • PHI/HIPAA • AWS/GCP/Azure • REST APIs • Data Integrations
• Strong data engineering experience at scale
• Experience building *batch data pipelines* for large volumes of structured and unstructured data
• Ability to own projects end-to-end
• Experience as a *founding engineer, early startup engineer, FDE, or similar high-ownership role*
• Working understanding of AI/ML training workflows
• Healthcare data experience, especially *PHI/HIPAA, HL7/FHIR*, is a strong plus
• Early-stage/high-growth startups

Work Location: Remote