Cloud AI Software Engineer

AI‑Forward Software Engineer

Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a modern healthcare technology company building real‑time remote patient monitoring and AI‑driven engagement platforms. Their cloud‑native system supports new innovative health tech solutions, with a strong focus on patient outcomes and clinical efficiency.

• Role: AI‑Forward Software Engineer
• Location: Fully Remote
• Pay: $55 - $65 per hour W2 only
• Length:12 month Initial contract
• Utilization: 40 hours per week
• Timezone: EST‑aligned, flexible

The Role

This role is ideal for a hungry, curious, and AI‑native engineer who wants to work across the full cloud and AI stack. You do not need years of machine learning experience—what matters is strong software fundamentals, comfort in the cloud, and fluency with modern AI development tools.

You’ll join a small, high‑impact engineering team with real ownership, contributing directly to AI‑driven capabilities such as voice agents, risk scoring, and intelligent clinical workflows. The scope is broad, expectations are high, and learning happens fast.

Responsibilities

• Build and maintain cloud services, APIs, and pipelines that support AI and ML workloads.
• Design and evolve infrastructure‑as‑code using modern tooling (CDK, CloudFormation, Terraform).
• Containerize services and ship production code through CI/CD pipelines.
• Integrate AI models and third‑party AI APIs into real‑world systems.
• Actively use AI coding tools (e.g. Claude Code, Copilot, Cursor) to accelerate development and share best practices with the team.
• Contribute to a secure, auditable architecture suitable for healthcare data and regulated environments.
• Collaborate closely with engineering and AI leadership on emerging AI‑driven product capabilities.

Requirements

Must Have

• Strong software engineering fundamentals: clean code, testing, debugging, and version control.
• Proficiency in Python (TypeScript is a plus).
• Hands‑on experience with AWS (or another major cloud platform).
• Experience writing or working with infrastructure‑as‑code.
• Comfort with containers, APIs, and distributed systems.
• Demonstrated use of AI development tools in day‑to‑day workflows.

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Nice to Have

• Exposure to ML pipelines, LLM APIs, or agentic AI systems.
• Experience working in regulated industries such as healthcare or finance.
• Open‑source contributions, side projects, or strong personal GitHub portfolio.

Why This Opportunity?

• Work on a real AI platform in healthcare, not demos or experiments.
• Small team, broad scope—touch cloud, infrastructure, and AI systems end‑to‑end.
• Strong AI‑tooling culture with encouragement to push and shape how tools are used.
• Fully remote, autonomous environment with genuine ownership.
• High visibility impact on products improving clinical efficiency and patient care.

This is an excellent opportunity for an engineer who wants to grow rapidly, work with modern AI tooling, and help define the next generation of AI‑driven healthcare technology. So if interested, please apply below