About This RoleWe are seeking a Software Engineer to help build and implement models, using agentic problem-solving wrapped around formal methods, that solve client issues that have strict compliance rules, tariffs, equipment constraints and much more . You'll partner directly with the system's inventor, learn the design deeply, and take it to production - packaging, testing, CI, documentation, and the interface that lets every AZX engineer put provably-right answers into client solutions. This is the formal solutioning layer of the stack: the part that produces checked answers when a client's problem actually has one. You'll sit between research and production, comfortable in both, and help shape where the system goes next.
Responsibilities:- Take the research-grade formal/agentic system to production: a real package, test suite, service interface, documentation a cold-joiner can use, and a release cadence.
- Own the architecture for reliability, packaging, test coverage, typing, CI, performance, and release discipline of the formal/agentic system.
- Wrap solver runs in agent loops where the agent proposes and the solver disposes, deliberately defining what the agent may touch when a proof fails.
- Model messy client business rules - compliance requirements, rate structures, program eligibility, design constraints - as constraints and shapes that check mechanically, and build the review habit that keeps those models honest.
- Reason over per-customer digital twins, checking proposed changes against the twin's constraints and shapes before anyone touches the real system.
- Define the agent seam: where LLM agents may assist (translation, hypothesis, explanation) and where they're forbidden (anything that asserts).
- Make proof results legible to client stakeholders who will never read a proof - clearly communicating what was checked, against what, and what was not checked.
Core Qualifications:- 5+ years of productionization experience: you've taken someone else's prototype or research code to production, with packaging, tests, CI, observability, and docs, respecting the design you inherited while changing it with evidence.
- Real depth in formal methods - you've built things with SMT/constraint solvers (Z3-class), automated theorem proving, or heuristic search over proof and plan spaces (AO*-class), and can speak to soundness, completeness, and their practical costs.
- Experience with data modeling and shape validation - ontology/taxonomy design, SHACL shapes as data contracts, RDF/OWL/SPARQL, or comparable schema-level validation on knowledge graphs - where you've modeled domains, not just queried them.
- Agentic AI literacy - you've built or wired LLM agents, understand their failure modes, and know exactly why an agent may propose but never assert around formal tooling.
- Strong generalist engineering skills: Python fluency, service design, and the judgment to keep a powerful system simple to use.
- Comfort partnering closely with a principal engineer/inventor - direct, kind candor, with no ego about whose idea wins.
- Practical familiarity with our core stack - Z3/SMT/SAT solvers, constraint programming, SHACL/RDF/OWL/SPARQL, Python 3.12+ (type-strict, FastAPI when needed), and Postgres.
- Experience with test engineering for formal systems - counterexample regression testing, property-based testing - and CI/release discipline for libraries.
- Working knowledge of LLM provider APIs and agent frameworks (or hand-rolled agent loops), even if your primary depth is on the formal-methods side.
- Bachelor's Degree: Master's is a Plus
- Domain experience in Energy, Utilities, Commercial Real-Estate, and Infrastructure is a plus
Why AZX! - Be part of a fast-growing, profitable, mission-driven company with industry-leading clients tackling the massive opportunity of AI transformation in critical industries.
- Competitive early-stage startup compensation (based on capabilities, experience, and location)
- Bonus eligibility
- Health insurance with meaningful coverage for dependents
- Flexible paid time off
- Equity
- Fully remote culture with a cluster of teammates in Seattle
Additional Information:- Must be able to travel 2x/year for company summits
- Applicants must be currently authorized to work in the United States on a full-time basis.
- We are unable to sponsor or take over sponsorship of employment visas at this time.
- Please note that our interview process includes a written take-home assignment followed by a live two-hour technical session with our engineering team, so if that format isn't a good fit, we'd ask that you not apply
- Please only apply to a maximum of 2 roles at a time, any applicants who apply to more then 2 roles within a 6 month period will automatically be disqualified
Next Steps:If this job sounds like a great fit but you don't check
ALL of these qualification boxes, we'd still love to hear from you!
