> Markdown version of [/jobs/ext/4513899-senior-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/4513899-senior-ai-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Software Engineer - **Company:** Abc Fitness Solutions, Llc - **Location:** Poland, ME, United States (Remote available) - **Experience:** Expert - **Salary:** $280,000 - $300,000 - **Contract:** Franchise - **Skills:** Clean Code Principles, Artificial Intelligence, Automation of Tests, Software as a Service, Code Review, Continuous Integration, Software Product Management, Software Engineering, Retrieval-Augmented Generation, Model Validation, AI Platforms, Machine Learning Operations, Evaluation of Large Language Models - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ai-software-engineer-poland-me--c678e427-7c66-417c-a54b-8b5d67d45203 ## About the Role * Experience shipping customer-facing software products to real users in a production environment. * Hands-on experience building or contributing to AI-enabled product features, not only demos, proofs of concept, internal tools, or prompt experiments. * Strong product judgment: you can connect technical decisions to user value, adoption, trust, and business outcomes. * Comfort working with probabilistic systems, including defining quality expectations, evaluating outputs, understanding failure modes, and making risk-based launch decisions. * Strong software engineering fundamentals, including clean code, code review, automated testing, observability, CI/CD, and production ownership. * Ability to work effectively in a new, fast-moving product squad with ambiguity, short feedback loops, and evolving priorities. * Strong cross-functional collaboration with Product, Design, Data, Security, AI platform, and customer-facing teams. * Accountability for outcomes beyond launch, including adoption signals, reliability, customer feedback, and whether a feature should be improved, paused, or retired. AND WHAT'S GREAT TO HAVE * Experience building AI-enabled workflows in SaaS, vertical software, fintech, payments, customer operations, sales automation, scheduling, retention, or member engagement. * Experience with retrieval-augmented generation, LLM evaluation, prompt iteration, model selection, or AI observability. * Experience instrumenting product usage and quality metrics for new features. * Experience working in distributed, async product engineering teams. * Familiarity with responsible AI practices, including human review, permissions, privacy, auditability, and user trust. ## Description You will report to an Engineering Leader and partner closely with Product, Design, Data, AI platform, and other engineering teams to ship AI-enabled features that are useful, measurable and commercially ready. WHAT YOU'LL DO * Build customer-facing AI product capabilities from early concept through production release, usage measurement, and iteration. * Turn ambiguous product opportunities into small, testable slices that can be validated with real users, real data, or real customer workflows. * Partner with Product and Design to define what "good enough" means for AI-enabled experiences based on user need, workflow risk, and customer impact. * Use existing AI platform capabilities, including retrieval, evaluation, guardrails, prompts, models, and observability, to deliver reliable product experiences without owning the platform itself. * Ship features behind flags, monitor early usage and quality signals, and improve the product based on what customers actually do. * Design graceful failure paths for moments when AI output is wrong, slow, incomplete, or unavailable. * Use AI-assisted development tools responsibly to increase speed while reviewing, testing, and owning the code you ship. * Support production readiness, operational follow-through, and incident learning for the capabilities you deliver.