Position: Backend Software Engineer
Location: Hybrid in San Francisco CA (4-5 days in office Mon-Sat)
Duration: Fulltime
Job Description
Scope/Responsibilities of Role:
- System Design: Designing building and maintaining scalable backend systems in a production environment.
- AI Implementation: Rapidly learning and applying new techniques in LLM development (fine-tuning RAG and prompt engineering).
- Collaboration: Working across teams including product managers medical writers and customer success to translate requirements into technical solutions.
Must Have Skills for Role:
- candidates MUST have atleast 3 years of US-based experience in the US (working remotely for a US company in India/etc. does not count)
- Additionally if applicable please explicitly state that the candidate is open to immediate relocation since these are IN-OFFICE in SF positions.
Backend Experience: 3 years in software development; proficiency in building APIs from the ground up using modern Python frameworks (FastAPI Django etc.).
AI/ML: Experience building GenAI applications complex prompt engineering data pipelines evaluation frameworks and RAG.
Cloud & Infrastructure: Experience deploying/scaling containerized applications in cloud environments (AWS preferred) and building CI/CD pipelines.
Soft Skills: Ability to reason through ambiguous requirements and execute quickly without extensive oversight.
Nice to Have Skills for Role:
Infrastructure-as-Code: Experience with Terraform or Pulumi.
Regulated Industry: Secure coding practices from industries like fintech or life sciences.
Frontend: Experience with React development.
Domain Knowledge: Knowledge of regulatory requirements in life sciences or similar.
Screening Question
Why are you interested in Artos
What AI systems have you built/worked on
Are you comfortable with a high-intensity startup hours environment (roughly 12 14 hours/day) to hit aggressive growth targets
Position: Backend Software Engineer Location: Hybrid in San Francisco CA (4-5 days in office Mon-Sat) Duration: Fulltime Job Description Scope/Responsibilities of Role: System Design: Designing building and maintaining scalable backend systems in a production environment. AI Implementation: Rapi...
Position: Backend Software Engineer
Location: Hybrid in San Francisco CA (4-5 days in office Mon-Sat)
Duration: Fulltime
Job Description
Scope/Responsibilities of Role:
- System Design: Designing building and maintaining scalable backend systems in a production environment.
- AI Implementation: Rapidly learning and applying new techniques in LLM development (fine-tuning RAG and prompt engineering).
- Collaboration: Working across teams including product managers medical writers and customer success to translate requirements into technical solutions.
Must Have Skills for Role:
- candidates MUST have atleast 3 years of US-based experience in the US (working remotely for a US company in India/etc. does not count)
- Additionally if applicable please explicitly state that the candidate is open to immediate relocation since these are IN-OFFICE in SF positions.
Backend Experience: 3 years in software development; proficiency in building APIs from the ground up using modern Python frameworks (FastAPI Django etc.).
AI/ML: Experience building GenAI applications complex prompt engineering data pipelines evaluation frameworks and RAG.
Cloud & Infrastructure: Experience deploying/scaling containerized applications in cloud environments (AWS preferred) and building CI/CD pipelines.
Soft Skills: Ability to reason through ambiguous requirements and execute quickly without extensive oversight.
Nice to Have Skills for Role:
Infrastructure-as-Code: Experience with Terraform or Pulumi.
Regulated Industry: Secure coding practices from industries like fintech or life sciences.
Frontend: Experience with React development.
Domain Knowledge: Knowledge of regulatory requirements in life sciences or similar.
Screening Question
Why are you interested in Artos
What AI systems have you built/worked on
Are you comfortable with a high-intensity startup hours environment (roughly 12 14 hours/day) to hit aggressive growth targets
View more
View less