Internal AI Agent Engineer (Sales, Marketing, CS, and Ops)

Howdy! Before you click auto-apply, we strongly suggest giving the job description a thorough read to determine your fit. To be clear, the following experiences are must haves: Familiarity with agent SDKs/frameworks and orchestration patterns, hands-on experience shipping containerized services with Docker, integrating with CRM/helpdesk/BI systems, and production grade code generation in Python and/or Node/Typescript. Start up exposure is very highly valued. This is a build/operate position.

100% Remote. Must be performed in the States. Sadly, we can’t facilitate VISAs.

Cover letters welcome, appreciated, and reviewed by a human. 

Why this role exists

We’re rolling out AI agents that do real work across the organization—offloading administrative and operational tasks in Sales, Marketing, Customer Support, and Ops. We need a technical builder who can turn messy workflows and ambiguous goals into production agents people trust, integrated into the tools teams already use (CRM, support platforms, BI, knowledge bases, etc.).

This is not an R&D sandbox. You will be measured by what ships, reliability in production, adoption, and measurable operational impact.

What you’ll own

You will own agent outcomes in production end-to-end:

• 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

What you’ll do

Find the wedge + ship

• 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.

Build real agents (not demos)

• 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)

Engineer the integrations and runtime

• 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.

Own quality + operability

• 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.

Drive adoption without overpromising

• 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).

Engineering background we expect

This role requires strong software engineering fundamentals:

• Experience building and shipping web services / backend systems
• Comfort with Docker, environments, CI/CD concepts, and production deployments
• Ability to work with APIs, auth (OAuth/service accounts), permissions/RBAC, and secrets management
• Understanding of system design tradeoffs: latency/cost, scalability, reliability, and failure modes

Required qualifications

• 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 qualifications

• 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

What success looks like (first 90 days)

• You’ve mapped the highest-impact admin workflows in at least 2 functions and identified 2–3 wedge agents.
• You’ve shipped at least one agent to production (or a tightly scoped beta) with clear success metrics and monitoring.
• You’ve established the baseline quality loop: eval harness + regression suite + release checklist + dashboards.

This role is not for you if…

• You prefer prototypes to production ownership.
• You don’t want to write code, ship Dockerized services, and debug integrations.
• You avoid accountability for post-launch reliability and business impact.

You need fully defined requirements and a roadmap handed to you.

So, why (on earth!) would you want to leave what you’re doing and join us?

• We have a really good shot at improving the millions of lives and careers of HCPs, Patients, and their families (even pets!)
• We hire adults with a Trust-first/It's All Life philosophy
• We have some great benefits for a firm at our stage: 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, and working with some of the smartest yet humblest and respectful people in the business
• We’re (objectively) way better looking than our competitors  :-)  

Compensation

The salary range for this role is $130,000 to $150,000 based on location and experience. There is a bonus.