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Flex Software Engineer Applied Math Jobs (NOW HIRING)

Metron

Software Engineer

San Diego, CA · On-site

Required : • Bachelor's degree in Computer Science, Mathematics, Physics, Applied Math, or related field • At least 5 years of experience as a Software Engineer or Developer • Active Secret ...

hackerone

Software Engineer, Applied AI

Seattle, WA

Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by combining ...

hackerone

Software Engineer, Applied AI

Boston, MA

Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by combining ...

HackerOne

Software Engineer, Applied AI

Seattle, WA · On-site

$166K - $203K/yr

Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by combining ...

Flora AI

Software Engineer, Applied AI

New York, NY · On-site

$170K - $240K/yr

We're looking to bring on a Software Engineer who will architect and build the agentic systems ... What You'll Do As an Applied AI Engineer, you'll design and build the intelligence layer of FLORA ...

Geico

Sr. Software Engineer - Applied AI

Palo Alto, CA

$144K - $189.80K/yr

Great Company, Great Culture, Great Rewards and Great Careers. Sr. Software Engineer - Applied AI ... Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which ...

hackerone

Software Engineer, Applied AI

Austin, TX

Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by combining ...

STR

Software Engineer

Woburn, MA · On-site

... Applied Mathematics, Electrical Engineering, or related field • Ability to obtain and maintain a ... software quality tools (static/dynamic analysis, automated testing frameworks) Company : STR is ...

STR

Software Engineer

Arlington, VA · On-site

... Applied Mathematics, Electrical Engineering, or related field • Ability to obtain and maintain a ... software quality tools (static/dynamic analysis, automated testing frameworks) Company : STR is ...

Tangram Flex

Solutions Engineer

Dayton, OH · On-site

You will work closely with Account Executives, Product, and Engineering to shape opportunities, influence customer requirements, and demonstrate how Tangram Flex's software, solutions and services ...

Metron

Software Engineer

San Diego, CA · On-site

Bachelor's degree in Computer Science, Mathematics, Physics, Applied Math, or related field * At least 5 years of experience as a Software Engineer or Developer * Active Secret Clearance * Experience ...

Rilla

Software Engineer, Applied AI

New York, NY · On-site

$200K - $300K/yr

Today, we've built the leading sales coaching software for organizations doing sales offline. We ... The Role The Applied AI team at Rilla is redefining how humans interact with machines-using voice ...

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How much do flex software engineer applied math jobs pay per year?

As of May 29, 2026, the average yearly pay for flex software engineer applied math in the United States is $139,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $160,000.00 per year, depending on experience, location, and employer.
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Flex Software Engineer Applied Math jobs near you

Staff Software Engineer, Applied AI

SuperDial

Burlingame, CA • On-site

$200K - $275K/yr

Full-time

Medical, Dental, Vision

Posted 9 days ago

Job description

SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing APIs, pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. If you want to push LLMs beyond demos into mission-critical healthcare workflows, we'd love to hear from you.
About the Role:
  • Backend for LLMs - Architect and implement scalable, low-latency APIs and services that wrap, orchestrate, and optimize LLMs for healthcare use cases.
  • Data & Retrieval Pipelines - Build ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines to ground LLMs in clinical and revenue-cycle data.
  • LLMOps & Observability - Design systems for model monitoring, evaluation, cost tracking, and guardrails, ensuring reliability and responsible use.
  • Performance & Optimization - Engineer solutions for caching, batching, load balancing, and scaling LLM workloads across cloud and containerized environments.
  • Security & Compliance - Implement HIPAA-ready infrastructure, data governance, and auditability for LLM-powered applications.
  • Cross-Functional Collaboration - Partner with product, ML engineers, and healthcare experts to translate business workflows into robust backend systems.
  • Technical Leadership - Drive end-to-end delivery of LLM backend projects, establish engineering best practices, and mentor peers in LLM system design.

About You:
  • 5+ years of backend or full-stack software engineering experience, with 3+ years working on ML/LLM-enabled applications.
  • Strong coding skills in Python (and ideally one statically typed language such as Go, Java, or TypeScript).
  • Experience with LLM integration frameworks (Hugging Face, LangChain, LlamaIndex, OpenAI APIs, Anthropic, etc.).
  • Deep knowledge of distributed systems, service-oriented architecture, and building APIs at scale.
  • Cloud-native expertise: AWS/GCP/Azure, Kubernetes, Docker, Terraform, etc.
  • Familiarity with MLOps/LLMOps practices: CI/CD for models, evaluation harnesses, monitoring, and reproducibility.
  • Excellent system design skills and the ability to align technical architecture with product goals.

Preferred Qualifications:
  • Experience applying LLMs in healthcare or other regulated industries (FHIR, HL7, HIPAA).
  • Hands-on experience with RAG pipelines, vector databases, and structured-output orchestration.
  • Background in enterprise SaaS or mission-critical platforms where uptime, latency, and scale matter.
  • Knowledge of responsible AI, safety, and privacy-preserving ML techniques.
What's in it for you?
  • The opportunity to apply cutting-edge AI to one of the world's most important industries.
  • A leadership role with ownership over core ML/LLM systems and influence on technical direction.
  • Competitive salary, equity options, and benefits, including health, dental, and vision coverage.
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.
Compensation: The base salary for this role ranges from $200,000 to $275,000, depending on experience and qualifications. We also offer equity and benefits as part of our total compensation package.

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