Senior Full-Stack Engineer - Mental Health Care

T
TruelogicMental health technology
Location: LatAmContractSenior
Salary not disclosed
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Job Details

Required Skills
AWSPythonJavaKubernetesReactStakeholder management

Requirements

  • Be a senior-level full-stack engineer able to design and build an application end to end.
  • Have strong full-stack engineering experience; Java or Python and React are preferred.
  • Bring excellent communication and stakeholder-management skills for daily work with business stakeholders.
  • Translate technical work into terms that non-technical stakeholders can follow.
  • Use product sense to understand stakeholder needs and propose fitting solutions without relying on a ticket or specification.
  • Have genuine enthusiasm for AI and use an AI-first workflow daily.
  • Have experience integrating LLMs into applications, or strong full-stack experience with relevant AI prototypes; production LLM experience is not mandatory.
  • Be comfortable owning project architecture, infrastructure, and tooling autonomously.
  • Be able to spin up services using containers, Kubernetes, or AWS on a local machine and work with a platform team to move them to production.
  • Pass the client AI transformation assignment, including a recorded video.

Responsibilities

  • Work with stakeholders outside engineering to understand their workflows and identify where AI can help.
  • Design each solution's architecture and own the application, infrastructure, tooling, and deployment end to end.
  • Build and ship AI-enabled internal tools, including integrations between existing systems and suitable LLM-powered features or agents.
  • Use AI coding tools to prototype quickly, put working versions in front of users, and iterate on their feedback.
  • Explain technical decisions and progress in plain language to non-technical stakeholders.
  • Report progress to engineering management daily or weekly and flag gaps early.
  • Set up and run local environments, then work with the platform team to take solutions to production.
  • Follow existing data privacy, security, and governance controls for every solution.
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