Technical Solutions Engineer

🕒 Maio 13

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Ascertain

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2022

🤖 Inteligência Artificial

⚕️ Seguro de Saúde

☁️ SaaS

💰 $10.000.000 Series A - Ascertain em 2025-04

Artificial Intelligence • Healthcare Insurance • SaaS

Ascertain é uma plataforma de operações em saúde, movida por IA agente, que automatiza fluxos de trabalho administrativos, como autorizações prévias, verificação de elegibilidade, processamento de encaminhamentos, planejamento de altas e gerenciamento de negativas. Projetada para grupos de provedores, sistemas de saúde e pagadores, a Ascertain consome dados não estruturados, automatiza formulários, integra-se com sistemas legados e inclui revisão humana no loop e rastreabilidade para melhorar taxas de aprovação, reduzir a carga administrativa e acelerar o acesso do paciente, demonstrando retorno sobre investimento em semanas.

Descrição

• Embed with new and existing customer practices, remotely and on-site, to map prior authorization, referral, and related workflows end to end. • Build and own the integrations that connect Ascertain's agents to customer systems: EHR APIs (Athena, eClinicalWorks, Epic, etc.), payer portals, fax and EDI, document intake, and the rest of the practice's stack. • Configure and extend our agent platform for each customer—ontology, prompts, tools, guardrails, escalation paths—and harden what works into reusable patterns. • Debug production issues across the full stack: data, prompts, APIs, UI, and the surrounding human workflow. • Serve as the technical voice in customer conversations. Translate between clinical-operations language and engineering, and make informed decisions on what to build, what to configure, and what to decline. • Surface learnings to the product and platform teams so patterns discovered once become reusable.

🎯 Requisitos

• 3–5 years shipping production code in a commercial engineering role. • Fluent in Python; proficient with SQL, REST APIs, and at least one full-stack or front-end framework. • A track record of delivering in environments where the problem was not fully specified - early-stage startup, consulting, applied research, or an operations-heavy role. • Strong written and verbal communication. You can lead a working session with a non-technical practice manager and produce a concise specification afterward. • Willingness to travel occasionally to customer sites. • Healthcare experience: EHRs, claims and EDI (X12 270/271, 278, 837), HL7/FHIR, payer portals, RCM, or prior authorization workflows specifically. • Production experience with LLMs or agent frameworks—prompt design, evaluations, tool use, retrieval, guardrails. • Applied integration experience: OAuth flows, webhook plumbing, browser automation, PDF and document parsing. • Prior experience as an embedded engineer working directly with enterprise customers.