Full-Stack AI Engineer — AWS, React & LLMs

BioSpace

Thousand Oaks (CA)

Vor Ort

USD 120.000 - 160.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Retirement and Savings Plan
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Flexible Spending Accounts
Annual Bonus Program
Stock-based Long-term Incentives
Paid Time Off

Zusammenfassung

BioSpace in Thousand Oaks, CA is seeking a skilled full-stack developer to build and maintain web applications using modern front-end frameworks and back-end services on AWS.

You will collaborate with design and product teams to translate user needs into technical requirements and will integrate generative AI capabilities.

Candidates should have a CS degree or equivalent, strong JS, Python, and SQL skills, and experience with LLMs and cloud-based microservices.

Qualifikationen

  • Requires a CS degree or equivalent experience.
  • Proficiency in JavaScript, Python, and SQL.
  • Experience with LLMs and AI orchestration frameworks.
  • Experience with cloud-based microservices is highly preferred.

Aufgaben

  • Develop and maintain full-stack web applications.
  • Collaborate with design and product teams to translate needs into requirements.
  • Integrate generative AI capabilities on AWS cloud.

Kenntnisse

ReactJS
Python
Node.js
AWS
HTML
CSS
JavaScript
SQL
NoSQL
Generative AI
LLMs
RAG Patterns
Langchain
LlamaIndex
Prompt Engineering
DevOps

Ausbildung

Bachelor's degree in Computer Science or equivalent experience

Tools

Langchain
LlamaIndex
AWS Cloud

Jobbeschreibung

BioSpace in Thousand Oaks, CA is seeking a skilled full-stack developer to build and maintain web applications using modern front-end frameworks and back-end services on AWS.

You will collaborate with design and product teams to translate user needs into technical requirements and will integrate generative AI capabilities.

Candidates should have a CS degree or equivalent, strong JS, Python, and SQL skills, and experience with LLMs and cloud-based microservices.

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