Sr. AI Engineer

Job Title:

Sr. AI Engineer

Number of Positions:

1

Location:

Indianapolis, IN

Location Specifics:

Fully Remote

Job Summary:

Renaissance Benefits is seeking an experienced AI Engineer to join our growing team!

At Renaissance, the Sr. 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

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.