Job Title:Sr. AI Engineer
Number of Positions:1
Location:Indianapolis, IN
Location Specifics:Fully Remote
Job Summary:The Senior AI Engineer is a hands-on builder and technical leader who designs, builds, and ships production AI-powered and automation solutions that solve real business problems. This role blends deep individual contribution with technical leadership-setting engineering standards, mentoring engineers, and guiding solutions through design reviews. You'll build across the stack (web technologies, Python, data, and AI agents), own the platform "on-ramps" that let the broader organization safely bring AI-assisted applications to production, and partner with non-technical builders to turn their working prototypes into supported, production-grade systems. As part of a newly unified engineering organization, you'll also cross-train into enterprise integration work and help shape Renaissance's broader AI transformation.
What will this role entail?- Design, build, ship, and support production applications across the stack-web (TypeScript/React), Python services, and cloud functions.
- Understand and work with data: query and integrate from enterprise data platforms and APIs.
- Stand up and configure AI agents in enterprise agent platforms (tools/function-calling, structured output, and human-in-the-loop patterns).
- Own the engineering SDLC that let others deliver safely: source control and repository organization, CI/CD, deployment pipelines, environments, and guardrails.
- Partner with non-technical builders to bring their AI-assisted applications to production-reviewing, hardening, integrating, and deploying their work while they retain ownership of the business solution.
- Advance AI enablement across the team through shared tooling, reusable skills and capabilities, and repeatable patterns that raise everyone's leverage.
- Provide hands-on technical leadership-design reviews, architectural guidance, mentoring, and problem-solving to unblock delivery.
- Uphold quality, performance, maintainability, and production-readiness standards, including responsible AI, security, and privacy practices.
- Cross-train into enterprise integration engineering to support the unified engineering organization as it matures.
- Help shape Renaissance's broader AI transformation strategy and execution.
Minimum Requirements:Minimum Requirements- 7+ years of professional experience in software engineering, automation, or AI-related development roles.
- Hands-on experience building and delivering production software systems, including AI-powered or automation solutions.
- Full-stack capability: web technologies (e.g., TypeScript/React) and Python.
- Working knowledge of GenAI/LLMs and common real-world patterns (e.g., agents, tool/function-calling, structured output, retrieval).
- Experience working with data-querying and integrating from data platforms and APIs.
- Cloud experience (Microsoft Azure preferred, or equivalent).
- Strong software engineering fundamentals (testing, code reviews, CI/CD, and operational support).
- Experience using AI-assisted development tools to accelerate delivery (e.g., Claude Code, GitHub Copilot).
- Ability to mentor engineers and to collaborate effectively with non-technical builders.
- Familiarity with security, privacy, and responsible AI considerations in enterprise environments.
- Strong communication skills, including explaining technical concepts to non-technical audiences.
Technical Qualifications- Production software engineering (design, build, ship, support) across web (TypeScript/React) and Python.
- Cloud application development and operationalization (Azure Functions/Container Apps, identity/managed authentication, or equivalent).
- Hands-on AI/GenAI application development, including configuring agents on enterprise agent platforms.
- Data and API integration (enterprise data platforms and general APIs).
- CI/CD, release management, and repository/environment management (e.g., GitHub Actions).
- AI enablement: reusable tooling, shared skills/capabilities, and AI-native development tools.
- Security, privacy, and responsible AI fundamentals.
- Enterprise integration and automation familiarity a plus.
Pay Range: $110,00-$120,000
