Design and implement backend services using Python. Collaborate with customers and teams to build solutions, integrate AI, and mentor developers.
We’re looking for a Forward Deployed Engineer with strong Python experience and a product mindset. You’ll work closely with our customers to design and build the core infrastructure that powers our AI-first RCM platform. You’ll have a front-row seat to user feedback and help shape not just the tech, but the product itself.
About the Role:
- Design and implement backend services and APIs using Python (FastAPI or similar)
- Work directly with customers to understand needs, gather feedback, and build solutions
- Integrate LLMs and AI agents into operational workflows
- Own system design decisions related to performance, reliability, and scale
- Lead technical projects from architecture through deployment
- Collaborate cross-functionally with Product, AI, and Ops teams
- Help shape engineering best practices, mentoring junior developers as we grow
About You:
- 2+ years of backend engineering experience, with deep Python expertise
- Strong background in building and scaling APIs, services, and distributed systems
- Proven ability to work closely with end users and translate feedback into product improvements
- Experience with modern infrastructure (Docker, cloud platforms, CI/CD)
- Familiarity with databases (PostgreSQL preferred) and async programming
- Bonus: experience in AI, LLMs, or healthcare tech (especially RCM)
- Bonus: startup or 0→1 experience
Why Join SuperDial
- High ownership: your work will directly impact our customers and business
- Deep customer connection: work closely with real users to ship fast and iterate
- Mission-driven team: solving real, painful problems in US healthcare
- Competitive compensation, early equity, and full benefits
Who we are:
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare!
The base salary for this role ranges from $125,000 to 160,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent.
The base pay range for this role is $130,000 – $160,000 per year.
Similar Jobs
Fintech • Information Technology • Payments • Sharing Economy • Financial Services • Cryptocurrency
Develop and maintain enterprise AI/ML solutions using Generative AI, RAG, and agentic frameworks on AWS. Design scalable architectures with Terraform, build CI/CD pipelines using GitLab, automate deployments with Python and Bash, and develop React-based internal tools and APIs. The role also involves troubleshooting, reliability, governance, security, compliance, project collaboration, technical mentorship, and occasional production support or travel.
Top Skills:
Agentic AiAWSAws BedrockBashCloudwatchDockerEcsEksGenerative AiGitGitlab Ci/CdGrafanaLangchainLanggraphNoSQLPythonRagReactSQLTerraform
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own creative and content strategy for a growth portfolio across paid and unpaid channels. Lead audience research, messaging, creative development, experimentation, landing-page optimization, performance analysis, and scaling of successful concepts. Partner cross-functionally with marketing, creative, analytics, SEO, web, CRO, agencies, and technical teams. Develop AI-enabled workflows and testing frameworks while connecting creative decisions to acquisition, conversion, and business outcomes.
Top Skills:
Artificial Intelligence (Ai)Conversion Rate Optimization (Cro)Search Engine Optimization (Seo)Streaming/Connected Tv (Ctv)
Machine Learning • Payments • Security • Software • Financial Services
Lead the design and development of ETL solutions for regulatory risk compliance at PNC, requiring advanced programming skills and collaboration on data-intensive applications.
Top Skills:
AlteryxCa7 Job SchedulerDevops ToolsInformatica Powercenter 9.6Microsoft Power BiOracle SqlPl/SqlTableauTeradataUnix Shell Scripting
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
