PrescriberPoint · 6 hours ago
Internal AI Agent Engineer (Sales, Marketing, CS, and Ops)
United States
Full-time
Remote
Mid Level
$130K/yr - $150K/yr
4+ years expPrescriberPoint is a company focused on improving the lives and careers of healthcare professionals and their families. They are seeking an Internal AI Agent Engineer to develop and implement AI agents that streamline workflows across Sales, Marketing, Customer Support, and Operations, ensuring reliability and measurable impact in production environments.
HealthcarePharmaceuticalHealth Care
No H1B
Responsibilities
Workflow discovery → agent design → build → test → deploy → monitor → iterate
Tool integrations (CRM/helpdesk/BI/docs/comms) with correct permissions, auditability, and resilience to change
Quality + safety standards that prevent trust-breaking failures
Production operations: evals, logging/traceability, dashboards, incident response, and regressions
A repeatable “agent factory” (templates, shared skills, reusable connectors) that increases throughput without sacrificing quality
Shadow functional teams, map workflows, and identify the highest-leverage admin tasks to automate
Turn those into a tight sequence of releases: MVP → v1 → v2
Implement agents using modern patterns: tool calling, retrieval/RAG, workflow orchestration, deterministic fallbacks, and (when justified) memory
Build agents that run both: Attended mode (human-in-the-loop approvals, confidence cues) Autonomous mode (policy-based execution, safe escalation, auditable actions)
Write and maintain production code in Python and/or Node/TypeScript
Containerize agents/services with Docker, deploy to internal infrastructure, and manage configuration/secrets safely
Build robust connectors to business systems (CRM, ticketing, BI/warehouse, knowledge base, email/calendar) via APIs/webhooks/events
Design for reliability: idempotency, retries/backoff, rate limiting, timeouts, circuit breakers, and graceful degradation
Define and implement evals: golden sets, regression suites, scenario tests, offline replay, and launch checklists
Implement observability: structured logs, traces, tool-call auditing, failure clustering, and per-agent health dashboards
Triage production issues, run postmortems, and prevent repeat failures through tests and guardrails
Deliver workflow-native entry points (CRM buttons, ticket macros, Slack/Teams, internal UI)
Document runbooks and “how to trust this” guidance based on real capability (no vapor)
Qualification
Required
4+ years professional software engineering experience (backend, integrations, automation, platform)
Production coding experience in Python and/or Node/TypeScript
Hands-on experience shipping containerized services with Docker (build, run, debug, deploy)
Experience building AI-enabled applications (LLM apps, tool-using agents, or workflow automation) with a focus on reliability and evaluation
Strong testing and ops discipline: unit/integration tests, monitoring/logging, and incident response (formal or informal)
Familiarity with agent SDKs/frameworks and orchestration patterns (e.g., OpenAI Agents SDK, Anthropic tooling, LangGraph/LangChain, workflow engines)
Experience integrating with CRM/helpdesk/BI systems (e.g., Salesforce/HubSpot, Zendesk/Intercom, Looker/PowerBI/Snowflake)
Preferred
Experience building evaluation pipelines for LLM/agent quality (task success, groundedness, hallucination rate, escalation rate)
Experience in regulated environments (healthcare/pharma) with auditability, data minimization, and access controls
Start up experience is always highly regarded
Benefits
401(k) w/matching
All kinds of insurance (including matching HSA and pets!)
Commute from your kitchen
Open PTO (which leaders use!)
Remote stipend
Yearly education budget
Company
PrescriberPoint
Medical Practice Support
11-50 employees
Funding
Current Stage
Early StageTotal Funding
unknown2023-01-31Seed
Leadership Team
Pete Robinson
Chief Operating Officer
Recent News
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