Staff Backend AI Engineer
Jobs via Dice | United States | Today
$190,000 – $250,000/yr| full-time | remote | lead | 6+ years | bachelor in Computer Science
skills: python, agentic ai, rag, machine learning, aws, google cloud platform, azure, rest, grpc, c++
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SumasEdge Corporation, is seeking the following. Apply via Dice today!
Staff Backend AI Engineer
Location: NYC or Bay Area candidates highly preferred; remote role.
Work Authorization: ; ;only
We are looking for a Staff Backend AI Engineer to help us meet the demands of our rapidly growing commercial pipeline.
The ideal candidate is a strong individual contributor with a co-founder mindset, capable of balancing engineering excellence with the speed required in a startup environment.
You will be instrumental in designing, building, and operating the critical backend AI systems that power our intelligent care orchestration platform.
What will you be doing?
Design, develop, and operate the backend systems that power our agent-driven care orchestration workflows, including service orchestration and inference pipelines.
Take end-to-end ownership of critical systems: you will build it, deploy it, watch it, and iterate on it.
Ship and maintain production-grade AI systems with real customer dependency and strict reliability, latency, and correctness requirements.
Contribute to the architectural design of our AI-driven platform, emphasizing scalability and clean integrations.
Participate in an on-call rotation with the entire engineering team to lead incident resolution when production issues arise.
Tech stack
Python, Agentic AI, RAG, Machine Learning, AWS, Google Cloud Platform, Azure, REST, gRPC, C++
Seniority
6-8+ years of experience backend engineering focused on building and operating production AI systems.
Work Experience
Experience with production- grade AI systems (e. g. , RAG systems, ML inference, agentic systems)
A good engineer at scale (big company, well- funded startup) AND worn multiple hats in a fast- paced startup environment
Founding engineer or CTO background at a startup that showed real traction (green flag for co- founder mindset)
Education
Computer Science degree from a top- tier university.
Hard Skills
Expert- level proficiency in Python at scale
Agentic development fluency - orchestrating sub- agents, when to use off- the- shelf vs. frontier models
Infrastructure ownership: builds, deploys, monitors, and iterates on end- to- end systems (on call rotation is part of the role)
Soft Skills
Co- founder mindset - ships fast, understands trade- offs, drives business outcomes
Traits to avoid
Career primarily spent in legacy tech or non- modernized environments, who are essentially ticket- takers.
Big tech engineers who are used to working on a niche/small component
Serial job hoppers without explanation
Key takeaways
Customer aims to end fragmentation in healthcare by bridging insight with action for payers and providers.
Recently closed a $52 million seed round, aiming to grow revenue from $4.5 million to over $10 million this year.
Role Requirements
Hiring for a Staff Backend AI Engineer focused on strong individual contributions, not managerial tasks.
Must have experience with Python at scale, production AI systems, and infrastructure ownership.
Candidate Requirements
Looking for candidates with both big tech and startup experience, emphasizing adaptability and technical excellence.
Co-founder mindset is essential; candidates should be able to handle varied tasks and drive business outcomes.
Interview Process
Three rounds: hiring manager screen, competency review, and a final interview with senior leaders.
Technical screenings involve identifying code bugs and discussing architecture.
Compensation
Salary range is $190K to $250K with a 15% bonus and competitive equity.
Ideal Candidate Profile
Strong proficiency in Python and experience with high-scale systems is mandatory.
Preferred background includes successful startup experience or impactful roles in major tech companies.
Pain Points and Urgency
The current commercial pipeline exceeds engineering capacity, necessitating urgent hires to execute contracts.
Staff Backend AI Engineer
Location: NYC or Bay Area candidates highly preferred; remote role.
Work Authorization: ; ;only
We are looking for a Staff Backend AI Engineer to help us meet the demands of our rapidly growing commercial pipeline.
The ideal candidate is a strong individual contributor with a co-founder mindset, capable of balancing engineering excellence with the speed required in a startup environment.
You will be instrumental in designing, building, and operating the critical backend AI systems that power our intelligent care orchestration platform.
What will you be doing?
Design, develop, and operate the backend systems that power our agent-driven care orchestration workflows, including service orchestration and inference pipelines.
Take end-to-end ownership of critical systems: you will build it, deploy it, watch it, and iterate on it.
Ship and maintain production-grade AI systems with real customer dependency and strict reliability, latency, and correctness requirements.
Contribute to the architectural design of our AI-driven platform, emphasizing scalability and clean integrations.
Participate in an on-call rotation with the entire engineering team to lead incident resolution when production issues arise.
Tech stack
Python, Agentic AI, RAG, Machine Learning, AWS, Google Cloud Platform, Azure, REST, gRPC, C++
Seniority
6-8+ years of experience backend engineering focused on building and operating production AI systems.
Work Experience
Experience with production- grade AI systems (e. g. , RAG systems, ML inference, agentic systems)
A good engineer at scale (big company, well- funded startup) AND worn multiple hats in a fast- paced startup environment
Founding engineer or CTO background at a startup that showed real traction (green flag for co- founder mindset)
Education
Computer Science degree from a top- tier university.
Hard Skills
Expert- level proficiency in Python at scale
Agentic development fluency - orchestrating sub- agents, when to use off- the- shelf vs. frontier models
Infrastructure ownership: builds, deploys, monitors, and iterates on end- to- end systems (on call rotation is part of the role)
Soft Skills
Co- founder mindset - ships fast, understands trade- offs, drives business outcomes
Traits to avoid
Career primarily spent in legacy tech or non- modernized environments, who are essentially ticket- takers.
Big tech engineers who are used to working on a niche/small component
Serial job hoppers without explanation
Key takeaways
Customer aims to end fragmentation in healthcare by bridging insight with action for payers and providers.
Recently closed a $52 million seed round, aiming to grow revenue from $4.5 million to over $10 million this year.
Role Requirements
Hiring for a Staff Backend AI Engineer focused on strong individual contributions, not managerial tasks.
Must have experience with Python at scale, production AI systems, and infrastructure ownership.
Candidate Requirements
Looking for candidates with both big tech and startup experience, emphasizing adaptability and technical excellence.
Co-founder mindset is essential; candidates should be able to handle varied tasks and drive business outcomes.
Interview Process
Three rounds: hiring manager screen, competency review, and a final interview with senior leaders.
Technical screenings involve identifying code bugs and discussing architecture.
Compensation
Salary range is $190K to $250K with a 15% bonus and competitive equity.
Ideal Candidate Profile
Strong proficiency in Python and experience with high-scale systems is mandatory.
Preferred background includes successful startup experience or impactful roles in major tech companies.
Pain Points and Urgency
The current commercial pipeline exceeds engineering capacity, necessitating urgent hires to execute contracts.
Benefits
15% bonus · competitive equity