Harnham
Linkedin · Posted 2mo ago
AI Software Engineer
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Indexed description
Key Responsibilities
- Build cloud services and APIs that support AI and ML workloads.
- Develop infrastructure‑as‑code to keep systems repeatable and reliable.
- Containerize services and automate deployments through CI/CD.
- Integrate AI models and external AI APIs into live systems.
- Improve security and auditability for regulated healthcare data.
- Strong software engineering fundamentals and clean coding practices.
- Professional Python experience (TypeScript exposure is a plus).
- Hands‑on cloud experience, ideally AWS, with infrastructure‑as‑code.
- Experience with containers, APIs, and distributed systems.
- Active use of AI coding tools such as Copilot, Cursor, or similar.
- Comfortable learning quickly in changing technical environments.
- Exposure to ML pipelines, LLM APIs, or agent‑based systems.
- Experience working in regulated industries such as healthcare or finance.
- Side projects or open‑source contributions.
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