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Gilead Sciences

Makes medicines for HIV, liver disease and cancer

Full Stack AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • At least 4 years of experience in full-stack or AI-focused software engineering with a Bachelor's degree in Computer Science, Engineering, or a related field, or at least 2 years with a Master's degree.
  • Proficiency in modern front-end frameworks, back-end technologies, APIs, databases, and cloud-native application development.
  • Expertise integrating AI/ML or generative AI capabilities into enterprise applications.
  • Strong understanding of scalable application architecture, microservices, and secure coding practices.
  • Experience with cloud platforms, containers, CI/CD pipelines, and agile development methodologies.
  • Strong problem-solving, debugging, and collaboration skills within global teams.

Responsibilities

  • Lead hands-on development of full-stack applications integrated with AI/ML and generative AI capabilities for global pharmaceutical and enterprise use cases.
  • Design, build, and maintain scalable front-end, back-end, API, and AI-enabled application components across cloud-native platforms.
  • Collaborate with product, engineering, data science, and business teams to deliver intuitive, high-performance digital solutions.
  • Develop and integrate AI/ML models, large language model-based services, and intelligent workflows into enterprise applications.
  • Collaborate to drive and adopt best practices in software engineering, testing, code quality, security, and performance optimization.
  • Support CI/CD automation, production deployments, monitoring, and issue resolution in partnership with DevOps teams.
  • Mentor junior engineers and contribute to continuous improvement in engineering standards and agile delivery practices.

Desired Qualifications

  • Experience in pharmaceuticals, healthcare, or regulated industries.
  • Familiarity with large language model orchestration frameworks, vector databases, and AI application architectures.
  • Exposure to MLOps, observability, and AI model deployment practices.
  • Experience building data-intensive or analytics-driven enterprise platforms.
  • Relevant certifications in cloud, AI/ML, or full-stack engineering technologies.

About the Company

Gilead Sciences

Makes medicines for HIV, liver disease and cancer

Gilead Sciences is a biopharmaceutical company that discovers, develops and sells medicines for HIV, viral hepatitis and other liver diseases, cancer and inflammatory conditions. Its HIV business covers both treatment, led by the once-daily pill Biktarvy, and prevention, including Descovy and Yeztugo, a lenacapavir injection given twice a year. In cancer, its Kite unit makes CAR T-cell therapies from patients' own immune cells, and Trodelvy is an antibody-drug conjugate for breast cancer. Gilead earns revenue by selling its drugs to wholesalers, specialty pharmacies, hospitals and governments worldwide after regulatory approval. The company was founded in 1987 and is headquartered in Foster City, California.

Company size
10,001+
Company stage
IPO
Headquarters
Foster City, CA
Founded
1987

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