Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (AI): Building and optimizing AI-powered features and developer tooling for the platform with an accent on RAG pipelines, agentic systems, and production-grade reliability. Focus on integrating LLMs into complex laboratory workflows, designing scalable backend services on AWS, and evolving VS Code-based development environments.
Location: Must be based in the United States
Company
provides leading Laboratory Information Management System (LIMS) solutions for industries including pharma, biotech, and public health.
What you will do
- Design and optimize RAG pipelines over domain-specific content to reduce hallucinations.
- Build AI-powered features integrated into existing laboratory workflows.
- Develop agentic systems capable of reasoning and executing multi-step tasks.
- Evolve a VS Code-based development environment and AI-assisted developer tooling.
- Build and operate backend services on AWS using infrastructure-as-code.
- Implement guardrails, observability, and evaluation frameworks for production AI systems.
Requirements
- 6+ years of software engineering experience in production environments.
- Must be based in the United States.
- Proven experience building RAG systems beyond prototypes.
- Strong understanding of LLM behavior, limitations, and failure modes.
- Solid backend and cloud experience, specifically with AWS.
- Proficiency in TypeScript and Python.
Nice to have
- Experience with AI evaluation pipelines and metrics.
- Background in developer tooling or VS Code extensions.
- Knowledge of workflow automation platforms like n8n or Zapier.
- Experience with containerization (Kubernetes, ECS) and Terraform.
- Familiarity with regulated or domain-heavy software systems.
Culture & Benefits
- Competitive health, dental, and vision insurance.
- Retirement plan with company matching contributions.
- Life insurance and disability/income protection.
- Opportunity to work in a small, high-autonomy team.
- Focus on building trustworthy, reliable AI systems for critical industries.
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