Lead Software Engineer

Posted about 1 month agoViewed

📍 Location: Worldwide

🔍 Industry: Software Development

🏢 Company: Anima👥 1001-5000 Elder Care Nursing and Residential Care Assisted Living Wellness Health Care Home Health Care

🗣️ Languages: English

🪄 Skills: AWSBackend DevelopmentGraphQLNode.jsSoftware DevelopmentDynamoDBFrontend DevelopmentFull Stack DevelopmentJavascriptMachine LearningTypeScriptAlgorithmsData StructuresAngularServerlessReactCI/CDProblem SolvingRESTful APIsMicroservices

Requirements:

Expert competency in TS, plus being reasonably tech + language agnostic.
Comfortable with key frameworks/libraries like Angular, Node and React. Able to work full stack in JS/TS.
Familiarity with AWS (e.g. APIG, SQS, DynamoDB, Lambda, Cognito, Amplify, CloudFormation) and/or hungry to learn.
Hungry and wants their shot to change the world.
Obsessively concerned with UX, and optimises for this when building features rather than arbitrary technical goals.
Bored and frustrated at big companies; feel held back by red tape, bureaucracy and poor decisions.
Keen to understand the big picture & entire context of the company and vertical; impatient for growth towards a senior executive role.
Disciplined towards best practice version control, CI/CD and code extensibility.
Intellectually curious with a growth mindset.

Responsibilities:

Help extend the 3 existing product lines and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI.
Help add further key third party API integrations, including with legacy EMR systems and national APIs like e.g. the electronic prescribing service, allowing Anima to directly issue prescriptions.
Iterate on a proprietary graph traversal algorithm to improve patient care and clinical value, and increasingly move away from explicit curation to implicit curation by NNs.
Ship important features that will directly increase delta lives saved in your first 2 weeks.
Help architect and deploy a scalable & cost effective ETL data pipeline with version control, outputting clean data ready for tokenisation.
Help deploy our active deep learning training & validation architecture to prod, so that we can correctly eat up our ‘1.0’ systems at the right time
Build cutting edge products like global context aware chat with semantic search, care orchestration and LLM-enabled cloud telephony e2e.
Work with the ML/data team to creatively ideate and ship features to improve ETL pipeline throughput and quality through a data-driven approach powered by analytics.

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