Frontline AI Deployment Engineer - Healthcare (Customer-Facing)

Health Data Innovations, Inc.; New York (NY); Hybride; USD 150 000 - 275 000; Plein temps

Avantages offerts par ce poste

Equity in Joyful Health

Healthcare benefits

Unlimited PTO

Résumé du poste

Joyful Health is hiring one of its first Forward Deployed Engineers to build the agent harness and tailor deployments to real-world revenue cycle needs. You’ll sit between customers and product, shaping how agents are orchestrated, trained, and integrated with practices’ data and payer rules.

You will ship production code, lead customer sessions, and translate field learnings into product improvements while helping grow the FDE function and possibly the team over time.

Qualifications

• 3+ years of full-time engineering experience in software, AI or data engineering with customer-facing work.
• Proficient in Python and SQL, comfortable with backend systems, data pipelines and APIs.
• Hands-on with LLMs and agents, translating business rules into agent logic and debugging.

Responsabilités

• Own customer deployments end to end from contract to live measurable results.
• Direct our agent and build account-specific solutions quickly (logic, analyses, automations, dashboards).
• Run working sessions with revenue cycle teams; map workflows and define outcomes.
• Create SOPs and work with revenue cycle specialists to improve agent behavior.
• Partner with the account team on renewals and expansion; demonstrate value to customers.

Connaissances

Python

SQL

AI/ML

Data pipelines

Customer-facing

LLMs/agents

Ownership

Formation

Bachelor's degree in Computer Science or related field

Description du poste

Joyful Health is hiring one of its first Forward Deployed Engineers to build the agent harness and tailor deployments to real-world revenue cycle needs. You’ll sit between customers and product, shaping how agents are orchestrated, trained, and integrated with practices’ data and payer rules.

You will ship production code, lead customer sessions, and translate field learnings into product improvements while helping grow the FDE function and possibly the team over time.