Software Engineer – AI Systems

About the role

We are seeking a skilled Software Engineer with a strong focus on AI systems to join our team. This role centers on designing, building, and maintaining AI-driven services and agentic workflows, with hands-on Anthropic SDK/API experience as a core requirement. The ideal candidate blends prompt engineering skill, comfort building and debugging agentic loops, and solid full-stack fundamentals (Python, TypeScript/React, SQL). This person should think about both software-engineering discipline and AI-system behavior: testing, scaling, and securing AI-backed applications the same way any production system would be.

Key Responsibilities:

Design, build, deploy web applications, AI-driven services and agentic pipelines (tool-use loops, multi-step agents, orchestration)

Build and maintain integrations with Anthropic API/SDK (Claude models, tool use, prompt caching, streaming)

Write, iterate, and evaluate prompts for reliability, safety, and cost efficiency

Develop RESTful APIs (Python) and React/TypeScript front ends around AI features

Own DevOps for AI services: CI/CD, containerization (Docker), cloud deploy (AWS/Azure), monitoring/observability for agent runs

Write optimized SQL against relational DBs

Design automated test frameworks for both deterministic code and non-deterministic AI outputs (eval harnesses, regression suites)

Collaborate cross-functional with teams and translate business needs into AI-backed technical solutions

Maintain technical docs (architecture, prompt design decisions, agent behavior/limits)

Skills & Qualifications

Bachelor's degree in computer science, related field, or equivalent experience.

2+ years of professional software engineering experience

2+ years of experience working with Python and Flask or Django

Must-have: Hands on experience with Anthropic SDK/API and Claude Console

Proficiency with Git

Strong experience with RESTful API development

Hands-on experience with SQL and relational databases (e.g., MySQL, MSSQL, Postgres)

Comfortable building and debugging agentic loops (tool-call cycles, multi-turn agents, error recovery, self-verification patterns)

Judgment to scope an AI solution appropriately — knows when multi-agent orchestration is overkill versus warranted

Some DevOps exposure: Docker, CI/CD, cloud platforms like AWS or Azure

Proficiency with Git

Familiarity with testing libraries (pytest, jest); LLM eval framework experience a plus

Strong debugging skills for complex, partially non-deterministic systems

Excellent communication skills: ability to explain AI behavior, limits, and tradeoffs to non-technical stakeholders

Stays current with the broader AI landscape — local/open-source models, emerging tooling, and alternatives to hosted APIs — and can speak to tradeoffs (cost, latency, privacy, quality) between running a model locally versus calling a hosted API

The annual salary for this position is $135,000–$150,000. This position offers eligibility for incentive compensation.

Mutual of Omaha Mortgage is an Equal Opportunity Employer, and we encourage diverse, talented, qualified applicants to apply. We offer an extensive compensation package. Benefits include:

Vacation — Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service.

Paid Sick Time — 40 hours of paid sick time after 90 days of employment. State sick time requirements will be added as needed.

9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)

Multiple PPO Medical Plans, as well as HDHP eligible plan.

Dental Coverage

Vision Coverage

Company Paid Life Insurance

401K with a generous employer match

Additional Benefits including – Optional Life, FSA, Pet Insurance etc.

Free Legal Services

Employee Loan Program