What does a Forward Deployed Engineer do at Gritora Solutions?

Forward Deployed Engineers at Gritora Solutions are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer | Healthcare AI role?

The Forward Deployed Engineer | Healthcare AI role at Gritora Solutions typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Gritora Solutions remote?

Remote availability varies by Gritora Solutions FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Gritora Solutions

Forward Deployed Engineer | Healthcare AI

$180K - $285K San Francisco, CA, US Mid Posted October 06, 2026

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Role Description

JOB DESXRIPTION

HIRING: Forward Deployed Engineer | Healthcare AI | San Francisco

| Salary + Equity | Hybrid | Visa Transfers Supported

Want to build AI agents that are deployed directly inside major health systems — working with physicians and hospital teams rather than sitting behind a product roadmap?

This is a high-ownership, founding-level opportunity at a Series B healthcare AI startup that reportedly 30x’d revenue last year and is already operating across 6M patient records.

You’ll be the critical link between clinical stakeholders → AI agents → production deployment.

Role Details

Position: Full-time Forward Deployed Engineer Location: North Beach, San Francisco, CA Work Model: Hybrid — 4 days in office US Visa: OPT, H-1B transfers and TN supported Stack: Python, Rust, Kubernetes, AWS, FHIR, LLMs, AI Agents, EHR Integrations, Carebricks, React, TypeScript

What You'll Do

Work directly with physicians, hospital IT teams and clinical champions to understand real-world workflows

Translate loosely defined clinical problems into production-ready AI agents

Build, evaluate and deploy agents end-to-end on the Carebricks platform

Monitor deployed use cases and continuously improve agents based on clinical guidelines and operational feedback

Own the full feedback loop — from a physician identifying a problem to getting the production platform fixed, potentially within days

What We're Looking For

3–6 years of experience in full-stack, forward-deployed or similar engineering roles.

Strong Python + React/TypeScript is required.

We’re particularly interested in candidates with at least one strong “peak” signal, such as:

Top CS/STEM university

Rapid progression / fast promotions

Founding or early engineering role at a recognizable startup

Experience at a high-bar engineering organization

experience at companies such as Palantir or Scale AI

Technical Requirements

Python — strong backend development

React + TypeScript — frontend experience

BS/MS in Computer Science, Computer Engineering or STEM.

Experience building and deploying production software

Nice to have:

Rust Kubernetes / Helm AWS LLMs / AI Agents EHR integrations / FHIR Healthcare or health-tech experience Early-stage VC-backed startup experience

Candidate Profile

Junior archetype (2–3 YOE): High-growth startup, FDE experience at a strong FDE company, or exceptional academic background.

Senior archetype (3–6 YOE): Big Tech → SWE/FDE/founding engineer at a high-growth VC-backed startup, or comparable high-bar experience.

Important: Big Tech experience can work, particularly with a strong academic background and evidence of startup, FDE, or customer-facing deployment experience.

Pay: $180,000.00 - $285,000.00 per year

Application Question(s):

Must have candidates with at strong “peak” signal, such as:

@ Top CS/STEM university @ Rapid progression / fast promotions @ Founding or early engineering role at a recognizable startup @ Experience at a high-bar engineering organization @ FDE experience at companies such as Palantir or Scale AI

Must have Technical Requirements :-

@ Python — strong backend development @ React + TypeScript — frontend experience @ BS/MS in Computer Science, Computer Engineering or STEM @Experience building and deploying production software

Must have :-

Kubernetes / Helm AWS LLMs / AI Agents EHR integrations / FHIR Healthcare or health-tech experience Early-stage VC-backed startup experience

Must have

3–6 years of experience in full-stack, forward-deployed or similar engineering roles.

Strong Python + React/TypeScript is required.

Work Location: In person

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.