Lead Software Engineer
A
AnimaSoftware Development
WorldwideFull-Time
Salary£75K - £200K; £75K – £200K • £50K – £300K Equity; Range based on experience and location £75K – £200K • £50K – £300K Equity
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Job Details
- Languages
- English
- Required Skills
- AWSBackend DevelopmentGraphQLNode.jsSoftware DevelopmentDynamoDBFrontend DevelopmentFull Stack DevelopmentJavascriptMachine LearningTypeScriptAlgorithmsData StructuresAngularServerlessReactCI/CDRESTful APIsMicroservicesProblem Solving
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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