> Markdown version of [/jobs/ext/4293302-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4293302-ai-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). --- # AI Engineer - **Company:** ITC Infotech - **Location:** Tempe, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Information Systems, Continuous Integration, DevOps, Python (Programming Language), Key Management, OAuth, Openid Connect, Search Technologies, Security Software, Software Engineering, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Model Validation, AI Platforms, Kubernetes, Information Technology, Artificial Intelligence Governance, Terraform, Docker - **Published:** October 9, 2026 - **Apply:** https://www.thejobnetwork.com/job/b080ef68-e928-43da-ac8f-86f547d4ea78/sr-ai-engineer ## About the Role * 8+ years of software engineering, with ownership of architecture, platform delivery or complex enterprise systems (production APIs, integrations, distributed services). \n * Strong Python plus modern engineering practices: automated testing, code review and maintainable design. \n * Production of AI systems: LLMs, RAG, agents and workflow orchestration, vector search, model evaluation and AI guardrails. \n * Cloud and DevOps: Azure, AWS or GCP, with Docker, Kubernetes, Terraform/Helm, CI/CD, observability, and production reliability (SLOs, incident response). \n * Security: OAuth 2.0 and OpenID Connect, secrets management, and automated security scanning in CI/CD. \n * Bachelor's degree in computer science, Engineering, Information Systems, or related field preferred, or equivalent practical experience. \n ## Description The Senior AI Engineer is a hands-on role responsible for designing, building, and operating Tulip and related AI platform capabilities. The focus is deep technical execution: contributing to architecture and engineering standards, and mentoring peers through design discussion and code review. \n The ideal candidate is a pragmatic builder and strong technical partner who can navigate ambiguity, uphold clear technical standards, and consistently deliver high-quality AI solutions aligned to business priorities.