Applied AI Engineer, Pager
$150-160k
Salary applicable to candidates in Colorado, Nevada, New York, and Washington DC and may vary in further locations
Virtual healthcare platform
Open for applications
Virtual healthcare platform
201-500 employees
Open for applications
$150-160k
Salary applicable to candidates in Colorado, Nevada, New York, and Washington DC and may vary in further locations
201-500 employees
Company mission
To transform the way that consumers interact with their healthcare.
Role
Who you are
- 3+ years of software engineering experience with strong proficiency in Python Hands-on experience building applications powered by large language models (Claude, GPT, Gemini)
- Familiarity with agent frameworks and orchestration patterns (LangChain, LangGraph, CrewAI, Vertex AI Agent Builder, or custom orchestration)
- Experience implementing function calling, tool use, and multi-step agent workflows Solid understanding of RAG architectures, embedding models, and vector databases (Pinecone, Weaviate, pgvector, Vertex AI Vector Search)
- Comfort working within defined guardrails and model configurations - you don't need to pick the model, but you need to know how to get the most out of it
- Experience with API design, microservices, and deploying services in cloud environments Strong debugging and problem-solving instincts. Agent systems fail in non-obvious ways and you enjoy chasing down why
- Strong communication skills; ability to work across Data Science, Product, and Engineering teams
- Experience with evaluation frameworks for LLM-based systems (custom evals, RAGAS, LangSmith, Braintrust), is nice to have
- Familiarity with MLOps tooling and CI/CD for ML systems and experience with streaming responses, async architectures, and real-time agent interactions, are nice to have
- Background in building multi-agent systems with routing, delegation, and coordination patterns, is preferred
- Exposure to Google Cloud Platform/Vertex AI ecosystem Contributions to open-source AI/ML projects, is preferred
What the job involves
- We're looking for an Applied AI/LLM Engineer to design, build, and ship LLM-powered agents and applications
- You'll work closely with our Data Science team, who defines the LLM strategy, guardrails, evaluation criteria, and model selection
- Your job is to take that foundation and turn it into reliable, production-grade agent systems that solve real business problems
- This is a builder role, not a research role
- You'll spend most of your time writing code — wiring up tools, orchestrating multi-step workflows, integrating APIs, and making sure agents behave predictably in the wild
- You should be deeply comfortable working with large language models in production and operating at the intersection of software engineering and applied AI
- Build agentic applications and workflows using the LLM frameworks, models, and guardrails provided by the Data Science team Design and implement tool integrations, function-calling patterns, and orchestration logic that allow agents to take actions across internal systems and external APIs
- Translate agent specifications and prompt strategies (authored by Data Science) into robust, deployable services Implement RAG pipelines, including vector store integration, chunking strategies, and retrieval optimization
- Own the full lifecycle of agent systems from prototype through production, including testing, monitoring, logging, and iteration
- Build evaluation and observability infrastructure so the team can measure agent quality, latency, cost, and safety in production
- Collaborate with Data Science on prompt engineering, model behavior tuning, and guardrail enforcement. Implementing their specifications into the runtime layer Work with platform and infrastructure teams to deploy, scale, and maintain agent services in cloud environments (GCP/Vertex AI, AWS Bedrock, Azure OpenAI)
- Contribute to internal tooling, SDKs, and shared libraries that accelerate agent development across the organization
Our take
Pager is a virtual care platform that delivers a range of services to healthcare clients. The app allows patients to schedule appointments and connect with caregivers and medical professionals while providing telemedicine, after-care follow-up, and various other options.
Since its rebranding in 2014, Pager has experienced substantial growth, reflecting the increasing demand for telehealth solutions. The company has formed several partnerships with established healthcare providers, including a notable deal with Horizon Healthcare Services in 2017. These collaborations have helped expand Pager's reach and integrate its services into existing healthcare systems.
Interest from private investors has also been significant, with the company securing substantial funding. However, Pager faces intense competition in the telehealth market, which is a huge and growing space. To stand out from alternative solutions, it is crucial for Pager to continually innovate and differentiate itself in this rapidly evolving space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2022
$6.1m
LATE VC
Sep 2021
$50m
SERIES C
Total funding: $113.5m
Company benefits
- Medical (Free medical plan option for employees and affordable plan options for families)
- Health Savings Account (HSA) (Employer HSA contribution)
- Flexible Spending Accounts (FSA)
- Dental
- Voluntary Vision
- Life Insurance (Company paid)
- Accidental Death and Dismemberment (AD&D) Insurance (Company paid)
- Voluntary Life and Accidental Death and Dismemberment (AD&D) Insurance
- Short-Term Disability (STD) (Company paid)
- Long-Term Disability (LTD) (Company paid)
- Employee Assistance Program (EAP) (Company paid)
- Accident Insurance
- Critical Illness Insurance
- Hospital Indemnity Insurance
- Pet Insurance
Company HQ
Midtown South, New York, NY
Leadership
Walter Jin
(Chairman & CEO)Alongside being the CEO of Pager, they are the co-founder and General Partner at three Fields Capital. Previously co-founded The Innovation Institute where they served as the CIO for 4 years.
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