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Senior Software Engineer, Applied AI (AI Engineering)

144 000 - 270 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer, Applied AI (AI Engineering): Building and optimizing backend systems, data pipelines, and AI integrations for an AI-driven scientific platform with an accent on backend engineering and machine learning. Focus on building performant, elegant systems that make AI useful and impactful.

Location: Cambridge, MA, USA or San Francisco, CA, USA

Expected base salary: $144,000–$270,000 USD annually. Bonus potential and early-stage equity are also available.

Company

hirify.global is building AI systems and scientific instruments to autonomously execute the scientific method and accelerate discovery across medicine, materials, and energy.

What you will do

  • Design and deploy backend services and data pipelines for LLM, RAG, and agentic AI applications.
  • Build high-performance APIs and microservices connecting AI models, scientific tools, and user-facing applications.
  • Architect scalable pipelines for structured, unstructured, and vectorized data.
  • Implement and optimize SQL, NoSQL, and vector databases for low-latency retrieval and inference.
  • Build production-ready AI infrastructure using AWS, Kubernetes, and infrastructure-as-code.
  • Collaborate with ML researchers, platform engineers, and scientists to bring models and algorithms into production.

Requirements

  • 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Strong Python experience with FastAPI, Flask, or Django.
  • Experience with SQL, NoSQL, and vector databases, including schema design, indexing, and query optimization.
  • Hands-on experience integrating ML models or AI-driven workflows into production services.
  • Proficiency with AWS, Docker, Kubernetes, CI/CD, and infrastructure-as-code, plus the ability to communicate complex technical concepts to non-experts.

Nice to have

  • Experience in life sciences, materials sciences, or other research-heavy fields.
  • Startup experience in fast-paced, iterative environments.

Culture & Benefits

  • Startup-speed environment focused on truth, trust, curiosity, grit, and velocity.
  • U.S. employees receive medical, dental, and vision coverage, plus employer-paid life and disability insurance.
  • Flexible time off, company-wide holidays, paid parental leave, and educational assistance.
  • Commuter benefits, including bike-share memberships for office-based employees, and a subsidized lunch program.
  • International employees receive benefits tailored to their region.

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