Artos AI · 3 months ago
Backend Software Engineer
San Francisco, CA
Full-time
Onsite
Mid Level
3+ years expArtos AI is a company dedicated to revolutionizing R&D documentation for biopharma companies. They are seeking a talented Backend Software Engineer to develop and scale their platform, enhancing regulatory support for the pharmaceutical and life sciences sectors.
Artificial Intelligence (AI)B2BBiotechnology
Responsibilities
Ability to design, build, and maintain scalable backend systems in a production environment
Proficiency in building APIs and services using modern Python frameworks (e.g., FastAPI, Django)
Ability to work with containerized applications and cloud infrastructure (e.g., Docker, AWS, Terraform)
Experience implementing CI/CD pipelines and debugging systems in production
Ability to rapidly learn and apply new techniques in LLM development, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)
Ability to stay current with emerging best practices in generative AI and apply them pragmatically to product needs
Ability to communicate complex technical issues and design decisions clearly to both technical and non-technical audiences
Ability to collaborate effectively across teams, including product managers, medical writers, and customer success
Ability to reason through ambiguous requirements, propose technical solutions, and execute quickly without extensive oversight
Strong debugging skills across multiple system layers (application logic, model behavior, APIs, infrastructure)
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Equivalent relevant work experience may be considered in place of a degree
3+ experience in software development, with a strong background in building AI/ML applications
Ability to design, build, and maintain scalable backend systems in a production environment
Proficiency in building APIs and services using modern Python frameworks (e.g., FastAPI, Django)
Ability to work with containerized applications and cloud infrastructure (e.g., Docker, AWS, Terraform)
Experience implementing CI/CD pipelines and debugging systems in production
Ability to rapidly learn and apply new techniques in LLM development, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)
Ability to stay current with emerging best practices in generative AI and apply them pragmatically to product needs
Ability to communicate complex technical issues and design decisions clearly to both technical and non-technical audiences
Ability to collaborate effectively across teams, including product managers, medical writers, and customer success
Ability to reason through ambiguous requirements, propose technical solutions, and execute quickly without extensive oversight
Strong debugging skills across multiple system layers (application logic, model behavior, APIs, infrastructure)
Preferred
Experience building GenAI applications, with extensive, hands-on experience with complex prompt engineering, GenAI-driven data pipelines, evaluation/benchmarking frameworks, and RAG
Experience building APIs from the ground up using modern Python frameworks (FastAPI, Django, etc)
Experience in deploying and scaling containerized applications in enterprise customer cloud environments
Experience building CI/CD pipelines for production backend applications using any tools (GitHub Actions, CodePipeline, CircleCI, etc)
Experience with Infrastructure-as-Code tools like Terraform or Pulumi is a plus
Experience with the above via cloud services (e.g. AWS, Azure, GCP), especially AWS, is a plus
Experience with secure coding practices, ideally from a regulated industry (e.g. fintech, life sciences)
Experience with frontend development in React is a plus
Knowledge of regulatory requirements in the life sciences industry is a plus. Willingness to learn is a necessity
Company
Artos AI
Artos helps clinical development and medical writing teams turn their data into regulatory submissions in days instead of weeks.
2-10 employees
H1B Sponsorship
Artos AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Early StageTotal Funding
$0.5MKey Investors
Y Combinator
2024-02-27Pre Seed· $0.5M
Company data provided by crunchbase