We are a precision health company at the intersection of data science, healthcare, and microbiome research. After five years of building a strong foundation, we are scaling our technology to unlock deeper insights and real-world impact.
Role Overview
We are seeking an AI Engineer to design, optimize, and deploy AI-powered features within our health tech platform. This role centers on integrating large language models (LLMs)—both API-based and self-hosted—into JavaScript/TypeScript environments, ensuring scalability, performance, and security. You will work closely with product, research, and engineering teams to translate cutting-edge AI into practical solutions for healthcare applications.
Key Responsibilities
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Build and maintain AI-driven services with a focus on LLM integration.
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Collaborate across teams to define, scope, and deliver ML features.
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Develop APIs and services in JavaScript/TypeScript to embed AI into products.
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Optimize inference, prompts, and model serving for efficiency.
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Ensure compliance, reliability, and security in AI workflows.
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Contribute to technical documentation and best practices.
Required Qualifications
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3+ years in applied ML or AI engineering projects.
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Hands-on experience with LLMs (OpenAI, Anthropic, Llama, Mistral) in both API and self-hosted setups.
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Proficiency in JavaScript/TypeScript (Node.js, backend frameworks, API development).
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Strong knowledge of vector databases, embeddings, and RAG.
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Familiarity with AWS, GCP, or Azure for AI deployments.
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Proven track record of integrating AI into production systems.
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Strong problem-solving, documentation, and communication skills.
Preferred Qualifications
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Experience in healthcare, bioinformatics, or scientific data.
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Knowledge of Docker/Kubernetes for scalable deployments.
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Exposure to real-time applications and streaming data.
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Familiarity with prompt engineering, fine-tuning, or LoRA.
What We Offer
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Mission-driven work with real impact on health outcomes.
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Cross-disciplinary collaboration with scientists and engineers.
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Flexible working setup in Vietnam.
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Opportunity to lead AI adoption in a fast-growing company.