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Principal Full Stack Engineer (AI Platforms)

Hawksman Technology • 🌐 In Person

In Person Posted 1 week, 2 days ago

Job Description

Hawksman Technology is working with a fast-growing health technology company on a mission to transform how individuals and healthcare providers understand and act on health data.

Role: Principal Full Stack and AI Engineer

We’re seeking a Principal Full Stack and AI Engineer to lead the design and development of an intelligent, data-driven health platform. This role is ideal for an engineer who thrives at the intersection of scalable software systems and applied AI. You’ll drive architecture decisions, build and deploy AI-powered features, and help shape the company’s long-term technical direction as part of a high-impact early team.

Responsibilities:

Design and implement end-to-end features across frontend, backend, and AI integrations

Architect and deploy LLM inference systems optimized for performance and cost

Build secure and compliant data pipelines for sensitive and unstructured health data

Lead MVP rollouts and iterate rapidly toward product-market fit

Collaborate closely with product, design, and data science teams to deliver AI-driven user experiences

Establish engineering best practices around scalability, observability, and security

Manage cloud infrastructure across AWS and GCP environments

Requirements:

Self-starter and hands-on “builder” mentality — this is a doer role, not a managerial one

Strong backend engineering background with hands-on full stack capability

Proficiency in Python and React Native, with experience in containerized environments (Docker, Kubernetes)

Familiarity with Infrastructure-as-Code tools such as Terraform

Proven experience deploying and optimizing AI workloads in AWS (GCP experience a plus, especially for data science workloads)

Exposure to AI-powered QA tools, data engineering tools (e.g., Airflow, Spark, Kafka), and model serving frameworks

Experience scaling AI platforms and deploying AI pipelines in production environments

Strong understanding of data architecture, security, and unstructured data handling

Practical experience with LLM inference optimization, retrieval-augmented generation (RAG), and vector databases

Comfortable working independently across time zones and collaborating with distributed teams

For more information you can contact Jacob Saurin on jacob.saurin@hawksmantechnology.com

We regret to inform you that only shortlisted candidates will be notified / contacted.

EA Registration No.: R1985138 – Saurin Jacob Mark

Hawksman Group Pte. Ltd.

ROC No.: 202319701W \| EA License No.: 23S1736

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