Job Application for Senior AI Engineer at E-gineering, Inc.

About E-gineering

E-gineering (EG) is a 100% employee-owned software consulting company based in Indianapolis, Indiana, founded in 2000. True consulting is about serving people with integrity, excellence, and a genuine heart. We stand behind our work, always do what's right, and are willing to take risks to uphold our values.

Why Join Us?

Work-Life Balance: We maintain a strict 40-hour work week. Your personal life matters as much as your professional one.

Award-Winning Culture: For over 13 years, we've been named one of the Best Places to Work in Indiana, consistently ranking in the top 3.

Grace in Tough Times: Life happens. When it does, we offer grace and flexibility so you can focus on what matters most—yourself and your family.

Position Overview

Title: Senior AI Engineer

Type: W-2 Employment

Location: Indianapolis, IN (must currently reside in the area and be able to be in the office regularly)

Work Environment: Mix of remote work, E-gineering office, and client site (depending on engagement). This role requires regular in-person presence in Indianapolis.

The Role

We're looking for a customer-centric Senior AI Engineer to join our Team. This is a hands-on engineering role focused on designing, building, and delivering LLM-powered capabilities within client applications. You'll work across the full lifecycle of AI-enabled solutions—from proof of concept through production—while contributing to the growth of AI engineering practices across E-gineering.

What You'll Do

AI Solution Engineering

You'll design and implement LLM-powered features and systems within client applications. This includes building and optimizing RAG pipelines, designing and orchestrating agentic workflows, integrating tool use and external services via protocols such as MCP, and selecting the right models and architectures for the task. You should be comfortable working across the stack—connecting LLM capabilities to real application code, APIs, data stores, and user experiences.

Evaluations and Quality

Shipping AI features responsibly means knowing whether they actually work. You'll design and implement evaluation frameworks to measure LLM output quality, build regression and benchmark suites, and establish feedback loops that drive iteration. You should bring an engineering mindset to a space where "it seems to work" isn't good enough.

Client Delivery

As a consultant, you'll be embedded on client teams to deliver AI-powered solutions. This means understanding client business problems, translating them into technical approaches, and building production-quality software. You should be comfortable leading technical discussions, participating in discovery and pre-sales conversations, and mentoring client and E-gineering developers on AI engineering practices as part of delivery.

Data Readiness
Production AI systems are only as good as the data behind them. You'll assess client data readiness during discovery, design and build data ingestion and processing pipelines for AI systems, and ensure solutions operate within client governance frameworks. This includes working with sensitive and regulated data, understanding data lineage and access controls, and making sound decisions about what data flows where—particularly when third-party model APIs are involved.

Internal Capability Building

You'll contribute to E-gineering's growing AI engineering practice by sharing what you learn in the field—whether that's reusable patterns, starter kits, evaluation tooling, or lessons learned. You'll help teammates level up through pairing, code reviews, and informal knowledge sharing.

What We're Looking For

Must-Have Qualifications

Must reside in the Greater Indianapolis area and can work on-site regularly (this role is not open to fully remote or relocating candidates)
5+ years of experience as a Software Engineer, with strong fundamentals in at least one modern language and ecosystem

1+ years of hands-on experience building LLM-powered applications (RAG, agents, tool use, prompt engineering—not just using chat interfaces)

Practical experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) and orchestration patterns

Experience designing and implementing evaluation strategies for LLM systems

Solid understanding of API design, data pipelines, and cloud infrastructure as they relate to AI-enabled applications

"We" mentality coupled with a servant leadership mindset

Excellent communication skills for both technical and non-technical audiences

Preferred Skills

Experience with MCP (Model Context Protocol) or similar tool-integration patterns

Familiarity with vector databases and embedding strategies for retrieval systems

Experience with model fine-tuning or distillation

Exposure to practices outlined in resources like AI Engineering by Chip Huyen

History of conference speaking or technical writing

Experience with data engineering or data science workflows

Contributions to open-source AI tooling or frameworks

Create a Job Alert

Interested in building your career at E-gineering, Inc.? Get future opportunities sent straight to your email.

First Name

Last Name

Country

Phone

Location (City)

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter*

Accepted file types: pdf, doc, docx, txt, rtf

School

Select...

Degree

Select...

Discipline

Select...

Start date month

Select...

Start date year

End date month

Select...

End date year

LinkedIn Profile

Website

Must reside in the Greater Indianapolis area and can work on-site regularly (this role is not open to fully remote or relocating candidates). Please provide how long it would take you (in minutes) to drive to our office, located at 8415 Allison Pointe Blvd, Indianapolis, IN 46250.

Are you authorized to work in the US without requiring employer sponsorship currently or in the future?

Select...

Thank you for your interest in the position. We appreciate the time and effort you've taken to submit your application. As part of our evaluation process, we require all candidates to submit a valid cover letter highlighting their relevant experience and qualifications. A well-written cover letter provides valuable insights into your motivations, strengths, and potential fit with our team. Did you include a cover letter with your application?

Select...

While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in E-gineering without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree.

Select...

Senior AI Engineer

Apply for this job