ascertain - Applied AI Engineer
Requirements
• 4+ years of professional software engineering experience owning production systems end-to-end—from design through deployment, monitoring, and iteration. • 2+ years of professional Python experience building APIs, services, or data workflows. • Hands-on experience developing or deploying LLM-based applications or RAG systems in a real production setting (not just prototypes). • Comfort operating with ambiguity and shipping the first version of something that doesn't exist yet. • Strongly preferred • Hands-on experience with voice or conversational systems - IVR, call automation, speech-to-text, telephony APIs (Twilio, etc.), or conversational agents. • Experience implementing QA processes and evaluation frameworks for agentic or LLM-based systems. • Track record of building and maintaining RESTful APIs and third-party integrations. • Proficiency with observability and monitoring tools for production reliability. • Experience with version control and automated CI/CD deployment pipelines. • Comfort managing SQL or NoSQL databases for storing and analyzing interaction data. • Healthcare, payer, or revenue cycle domain experience (helpful but absolutely not required).
Responsibilities
• Design, build, and ship voice agents that conduct outbound calls to payers - handling IVR navigation, hold queues, multi-turn dialogue with human reps, and structured data capture. • Integrate telephony, speech-to-text, text-to-speech, and LLM components into reliable end-to-end pipelines, and own them in production. • Build the evaluation and QA infrastructure that lets us measure agent quality, catch regressions, and continuously improve performance against real-world calls. • Develop and maintain the APIs and integrations that connect agent outputs to the rest of our prior authorization workflow. • Instrument everything: call outcomes, agent behavior, latency, failure modes - and use that data to make the next version better. • Partner closely with our operations and clinical teams to identify the highest-leverage workflows to automate next, and translate those into agent designs. • As the AI surface area at Ascertain grows, expand into other agent and LLM-driven systems across the product and internal tooling.
Benefits
• Meaningful work: Your work will directly impact healthcare organizations by reducing administrative burden and improving how care teams operate day to day.
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