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    Job · 20514209

    FULLTIME

    Amazing AI Systems Engineer

    Storyline Health

    Storyline Health

    Not specified · onsite · Posted 12d ago

    Sourced fromFoundit
    Not disclosedFresherfulltimeNot specified

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    Section · 01

    About this role

    This position is for those looking to work at the bleeding edge of next-generation AI and healthcare with hands-on experience and ownership.

    AI Engineers wanted for hazardous journey. Low wages, bitter cold, long hours of complete darkness. Intense learning curve. Safe return doubtful. Honour and recognition await those who return. Earnest Shackleton, Antarctic Expedition

    READ CAREFULLY BEFORE APPLYING

    You must take the interview here to be considered: https://open.storyline.care/openstory/fvhi

    We're looking for a quick-learning engineer who can live at the intersection of backend systems and AI orchestration, someone who can design and implement sophisticated multi-agent pipelines using frameworks like LangGraph, n8n, and the OpenAI Agent SDK. You'll help architect the next generation of our intelligent backend where retrieval-augmented generation (RAG), tool-using agents and agentic systems, and real-time WebSocket pipelines all come together to power our AI products.

    Who We're Looking For

    You background will need to include:

    • Experience with Python and async backend frameworks (FastAPI, asyncio, etc.).
    • Strong familiarity with LangGraph, LangChain, OpenAI Agent SDK, or similar orchestration tools.
    • Experience with retrieval systems, vector databases, or LLM context management.
    • Comfort working with cloud infrastructure (AWS preferred: Lambda, DynamoDB, S3, EventBridge).
    • Strong grounding in software design, system reliability, and testing for AI-driven systems.

    What You'll Do

    • Build and orchestrate autonomous AI agents that reason, plan, and call tools via LangGraph, OpenAI SDK, or custom logic.
    • Design RAG pipelines (ingestion → embedding → retrieval → synthesis) optimized for multi-modal knowledge bases.
    • Integrate agents with backend APIs, databases, and workflows (FastAPI, AWS Lambda, DynamoDB, S3, etc.).
    • Create event-driven and streaming architectures using WebSockets and queues for real-time AI responses.
    • Develop observability and cost tracking systems for long-running or multi-step agent processes.

    Collaborate with product and research teams to rapidly experiment with new AI capabilities.

    What you'll work on:

    We work at the cutting edge of AI advances across Oncology, Neurology, Pediatrics, Neonatal, Psychiatry, Primary Care, Population Health, and everywhere else. You'll work on critical projects including:

    • Neonatology researchers building an assessment for premature babies.
    • Jails and prisons predicting suicide, violence, addiction, and recidivism.
    • Identifying PTSD and TBI in front line combat troops.
    • Homeless organizations identifying people who can be helped off the street.
    • Discovering new end points for clinical trials
    • Oncologists predicting drug timing for cancer patients.
    • Predicting treatment responses for psychiatry patients.
    • Many, many more.

    What We Will Do

    We will support you with the resources, mentorship, and strategic vision necessary to excel in a fast-paced AI environment creating the next generation of AI technologies.

    How to Apply

    To apply, please perform an initial online interview through Storyline by clicking on this link:

    https://open.storyline.care/openstory/fvhi

    Learn More About Us:

    Storyline Health is a Utah-based Behavioral A.I. company. Our mission is to understand human behavior and make that knowledge useful for everyone.

    Our Science: https://storylinehealth.com/science

    CEO: https://www.linkedin.com/in/jeffbarson/

    CSO: https://www.linkedin.com/in/christopher-gregg-4b88936/

    We look forward to meeting you!

    Chris & Jeff

    Storyline Health Inc

    Sourced from foundit

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    Section · 02

    Skills

    TestingAws Lambdaasync backend frameworksLLM context managementWebSocketDynamo Dbsystem reliabilityamazon web serviceseventbridgevector databasesAWS S3asyncioCloud Infrastructureretrieval systemsOpenAI Agent SDKPythonSoftware DesignLanggraphLangchainFastAPI

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