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Remote Software Engineer Applied Math Jobs (NOW HIRING)

Software Engineer 4

$119.31K - $178.97K/yr

... Applied Mathematics, or a closely related technical field. Experience * 10 or more years (or 8+ ... software engineering experience, with a significant focus on designing distributed systems, large ...

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Remote Software Engineer Applied Math information

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$63.5K

$147.5K

$205.5K

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

As of May 31, 2026, the average yearly pay for remote software engineer applied math in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Software Engineer in Applied Math, and why are they important?

To thrive as a Remote Software Engineer in Applied Math, you need strong programming skills (such as Python, C++, or Java), a solid background in mathematics or applied mathematics, and a relevant degree. Familiarity with mathematical libraries, version control systems like Git, and possibly cloud computing platforms or specialized modeling tools is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help professionals excel in virtual, collaborative environments. These competencies ensure accurate mathematical modeling, efficient software development, and seamless teamwork across distributed teams.

How does a Remote Software Engineer specializing in Applied Math typically collaborate with cross-functional teams?

As a Remote Software Engineer focused on Applied Math, you'll frequently collaborate with data scientists, researchers, and product managers to design and implement mathematical models that solve complex business problems. Communication is primarily conducted through video calls, shared documentation, and collaborative coding platforms. While working remotely, it's important to proactively share progress, clarify technical requirements, and participate in code reviews to maintain alignment with team goals. This collaborative environment fosters learning and often provides opportunities to contribute to innovative projects that utilize advanced mathematical techniques.

What does a Remote Software Engineer Applied Math do?

A Remote Software Engineer specializing in Applied Math uses mathematical theories and computational techniques to solve complex problems in software development, often working from a remote location. They design and implement algorithms, analyze data, and develop models that are crucial for applications in fields like engineering, finance, and artificial intelligence. Their work bridges the gap between advanced mathematics and practical software solutions, helping companies create efficient and reliable products. Communication and collaboration with cross-functional teams are also key aspects of the role, even when working remotely.
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What cities are hiring for Remote Software Engineer Applied Math jobs? Cities with the most Remote Software Engineer Applied Math job openings:
What are the most commonly searched types of Software Engineer Applied Math jobs? The most popular types of Software Engineer Applied Math jobs are:
What states have the most Remote Software Engineer Applied Math jobs? States with the most job openings for Remote Software Engineer Applied Math jobs include:

Senior Software Engineer - Applied AI

Blue Cross and Blue Shield of Nebraska

Omaha, NE • On-site, Remote

$117.20K - $154.50K/yr

Full-time

Posted yesterday


Blue Cross & Blue Shield Of Nebraska rating

7.7

Company rating: 7.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

174th of 259 rated insurance


Job description

At Blue Cross and Blue Shield of Nebraska, we are a mission-driven organization dedicated to championing the health and well-being of our members and the communities we serve.

Our team is the power behind that promise. And, as the industry rapidly evolves and we seek ways to optimize business processes and customer experiences, there's no greater time for forward-thinking professionals like you to join us in delivering on it! As a member of Team Blue, you'll find purpose, opportunities and the support you need to build a meaningful career and make a powerful impact in our community.

Health insurance is one of the most confusing, high-stakes experiences people navigate. Members don't understand their coverage, can't predict costs, and struggle to get answers when it matters most. We're building the AI platform that changes that-a member experience that feels like having an expert in your corner. It's already live. It's already helping people. And it's just getting started.
The next chapter is multi-agent: specialized AI agents collaborating to answer clinical questions, navigate prior authorizations, close care gaps, and guide members through their benefits. The orchestration architecture, the agent integration patterns, the evaluation systems that keep it all trustworthy at scale-that's what we're building together. You'll shape how it's designed and set the standard for how it grows.

The ideal candidate will live within driving distance of the Omaha, Nebraska office.This position allows remote flexibility but will have 1 day per week in the office.

If living in one of our approved states (Florida, Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and Texas) - this person may travel to our headquarters.

What You'll Do:

Your primary focus is agent design and orchestration.

  • Multi-agent orchestration layer.Design and build theLangGraph-based system that classifies member intent and routes to the right agent. Stateful, context-preserving, failure-tolerant. Handles commercial agents and internally built capabilities through the same interface.

  • Agent integration contract.The standardized pattern that makes any agent pluggable: input schema, output schema, confidence signaling, latency SLA, fallback behavior. When the teamintegratesa new agent, they follow a pattern you designed.

  • Context management across turns.Multi-turn conversations thatmaintainfull member context across agent handoffs. The memberasksa follow-up two turnslater; the platform knows what was said, which agent handled it, and what was retrieved.

  • Guardrail and safety layer.Clinical safety boundaries, PHI handling at the LLM layer, and response normalization ensuring every agent response arrives in a consistent tone and within compliance constraints regardless of which agent generated it.

  • RAG pipeline architecture.Benefits documents, formularies, and policy content retrieval via Azure AI Search. You define the ingestion strategy, chunking approach, hybrid search configuration, andretrievalquality standards.

  • Prompt architecture.Versioned prompt registry, structured output contracts,few-shot pattern design. Every prompt is testable,rollback-able, and understandable by the team.

To be considered for this position you must have:

  • Bachelor's degree and4-7 years of experience in software engineering.

Experience with agentic AI in production-not LLM wrappers, not single-agent chatbot demos, not RAG tutorials. Systems with multiple agents, explicit state management, and real users depending on the answers being correct.

  • 2-3 years building and operating production LLM or agentic AI systems

  • You can describe specific decisions you made in a multi-agent system: state management approach, how you handled agent failures mid-conversation, how you kept the system governable as agents were added

  • LangGraph,AutoGen, or custom graph-based orchestration used in production, not just evaluated. You know where it breaks down and how you worked around it

  • Debugged retrieval quality problems, iterated on chunking strategies, dealt with stale knowledge bases in a live system with real users

  • Built evaluation systems from scratch: golden datasets, automated regression, domain-appropriate accuracy metrics. Your eval suite caught a production regression before users reported it

  • Experience in healthcare, insurance, fintech, or legaldomains-AI systems where a wrong answer has consequences, and you designed the safeguards that make accuracy non-negotiable

  • Strong knowledge of Python. Work in an existing codebase and extend it with the AI layer

  • Azure OpenAI, Azure AI Search, Azure Container Apps are the target stack

The strongest candidates will also have:

  • Experience working in an Agile/Scrum environment.

  • Desire to think in a creative, lateral way both conceptually and in practical application.

  • You must be obsessed with addressing customer needs.

  • Strong communicationand interpersonal skills.

  • Possess emotional intelligence.

The Stack

Python /FastAPI LangGraph Azure OpenAI / Claude viaAzure Azure AISearch Azure ContainerApps LlamaIndex LangSmith Azure AppInsights PostgreSQL Redis

Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers.

We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.