AI Engineer - On-Site in Indianapolis | Build AI Apps

SGI; Indianapolis (IN); On-site; USD 90,000 - 130,000; Full time

Job summary

SGI is seeking a web developer to design, build, and support AI-powered applications in a regulated environment. You will work on assistants inside custom apps and automations that save time, with integration to Claude and AWS models.

You will build AI features, develop connectors, and ensure data isolation across clients while maintaining security and compliance standards. Strong REST, backend skills, and experience with LLM APIs are essential.

Qualifications

• 3+ years of professional web development experience.
• Back-end experience in Node.js, Python, or C#/.NET.
• Experience building and consuming REST APIs.
• Solid SQL and relational database skills.
• Git, code reviews, and automated testing as everyday habits.
• Hands-on experience with an LLM API (Anthropic, OpenAI, Bedrock, or similar).

Responsibilities

• Build and ship AI features into SGI's web applications.
• Develop integrations and MCP connectors linking AI tools to SGI systems.
• Build retrieval (RAG) solutions over documents with data isolation.
• Write, test, and version prompts and agent workflows; create evaluation sets.
• Monitor AI features in production for quality, cost, and performance.
• Collaborate with departments to translate use cases into projects.
• Document designs, risk assessments, and validation evidence for regulatory standards.
• Support AI Governance Committee with technical input.
• Train and support colleagues adopting AI tools.

Skills

Web development

REST APIs

SQL

Version control

LLM APIs

Communication

Education

Bachelor’s degree in CS or related field

Tools

Node.js

Python

C# / .NET

SQL databases

Job description

SGI is seeking a web developer to design, build, and support AI-powered applications in a regulated environment. You will work on assistants inside custom apps and automations that save time, with integration to Claude and AWS models.

You will build AI features, develop connectors, and ensure data isolation across clients while maintaining security and compliance standards. Strong REST, backend skills, and experience with LLM APIs are essential.