Senior AI Software Engineer

• →A Bachelor of Science in Computer Science or equivalent experience.
• →Six or more years building production software, including web application development, with time spent operating what you built and not only shipping it.
• →Experience architecting, designing, and developing distributed systems, and a clear account of the tradeoffs you chose and what you would do differently.
• →Depth in at least one general purpose programming language, and the fluency to move between others: C/C++, Python, C#, Java, Node, Go, Ruby.
• →Hands-on experience taking LLM applications all the way to production, not only prototypes; retrieval-augmented generation, tool and function calling, and agent orchestration, plus the operational work that follows them.
• →Working knowledge of AWS, ideally including Bedrock or a comparable managed model service, and an understanding of how model spend actually accumulates.
• →Experience implementing authentication, authorization, and role-based access control (SSO, OIDC, SAML) across more than one application, in systems that had to pass security or compliance review.
• →Fluency evaluating and observing non-deterministic systems: test sets, regression checks, tracing, and cost and latency monitoring.
• →Experience integrating with SaaS business systems over their APIs; CRM, ITSM, or support platforms; and working directly with the people who live in them.
• →A track record of raising the level around you: design and code review, written designs other engineers actually use, and mentoring less experienced engineers.
• →Nice to have: vector search and retrieval infrastructure, data pipelines, or prior work on internal platforms and developer experience

• →Own the design, build, and operation of a shared model gateway on AWS Bedrock; routing, model selection, quotas, cost controls, and observability for every AI application at Tive.
• →Own the common platform services those applications depend on: authentication, role-based access control, and audit logging that holds up to security and compliance review.
• →Build and maintain the knowledge layer; ingestion, chunking, retrieval, and freshness; that grounds agents in Tive's own documentation, product data, and support history.
• →Stand up evaluation harnesses and regression suites so agent quality is measured rather than assumed, and so changes to prompts, models, or retrieval are safe to ship.
• →Partner with the teams delivering the digital business roadmap; Customer Portal, Service Desk, and CRM; to embed AI in those products on shared infrastructure instead of three separate stacks.
• →Set the patterns, libraries, and documentation that let other engineers add an AI capability without rebuilding auth, retrieval, or logging first, and hold the line on them in review.
• →Weigh build-versus-buy tradeoffs honestly, make the case with data when a vendor is the better answer, and own the build when it isn't.
• →Design, write, test, deliver, maintain, and improve software, and support the digital business systems it runs on.
• →Conduct code and design reviews to ensure high-quality, maintainable, and scalable solutions, and mentor the engineers whose work you review.
• →Troubleshoot, diagnose, and resolve complex issues in production environments, and be accountable for the reliability of the platform you own.
• →Research and evaluate emerging models, tools, and practices in a field that moves quickly, and separate what is genuinely useful from what is noise.
• →Create and maintain technical documentation, including design specifications, runbooks, and release notes.
• →Collaborate with cross-functional teams to define, design, and develop new features and enhancements, and manage your own priorities and deliverables with little supervision.
• →Foster a culture of collaboration, continuous improvement, and learning within the software development team, and assist with recruitment and onboarding as needed.
  
  

• A chance to join what may very well turn out to be the most important company in your career.
• The autonomy and resources to build what you know how to build.
• Work with a committed global team that have each others back.
• Office-based or hybrid options. Your choice. 
• Competitive equity to ensure all of our employees have a sense of ownership in the long-term success of Tive’s growth.
  
  

We celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal-opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees.