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: Software Engineer
• Type: W-2 or 1099-Direct Employment
• Location: Indianapolis, IN (on-site)
• Relocation: Not offered
• Work Authorization: Must be authorized to work in the United States without sponsorship, as E-gineering does not provide employment sponsorship now and in the future.

E-gineering (EG) is seeking a passionate Software Engineer with a minimum of three years of experience. This W-2 position requires candidates to live near Indianapolis, IN.  

Currently, we do not provide relocation assistance. W-2 employees may work from home, at EG's Indianapolis office, or at the client's location, depending on client needs. Current opportunities allow for remote work from home. 

At E-gineering, we handle a variety of projects that include: 

• Collaborating within blended development teams to deliver software quickly using agile methods 

• Helping clients develop solid CI/CD practices and fostering a DevOps culture 

• Supporting decision-making and implementation of distributed systems for large enterprises 

• Designing solutions that create business value for clients 

• Cloud deployment and migration 

Who You Are: 

• Continuously sharpening your skills to meet our customers' needs 

• Enthusiastic about sharing knowledge and actively helping teammates grow and excel 

• Humble — prioritizing the best outcomes for customers and the team over being "right." 

What You Enjoy: 

• Working hard with a collaborative Team 

• Committed to serving clients well 

• Taking initiative to solve problems and learn new technologies 

• Assisting teammates through challenges 

What You'll Do: 

• Develop server-side solutions using languages like Java, C#, JavaScript, and Python 

• Create effective API designs with front-end teams and integrators 

• Write functional front-end code using modern JavaScript frameworks (React, Angular, Vue) 

• Communicate with business stakeholders and decision-makers about development activities and solutions 

• Advise clients on technological choices 

• Continuously explore, evaluate, and implement new technologies to enhance development efficiency 

• Learn new technologies to contribute across different parts of the software stack as needed 

What You Bring: 

• 3+ years of software development experience 

• Strong knowledge of Java, C#, or JavaScript 

• Experience with JavaScript frameworks such as Angular, React, or Vue 

• Extensive understanding of SQL and database design 

• Knowledge and experience with cloud technologies 

• Experience with Agile methodologies 

• Excellent interpersonal and communication skills 

• Comfort using LLMs and other AI tools to rapidly learn about new technologies and ramp up on new engagements 

• Comfort with Agentic AI as a tool to help build high-quality, well-engineered software 

• Familiarity with prompt, context, and agent management techniques 

• Experience with unit and integration testing and designing test systems 

• Awareness of architectural trade-offs when designing software systems 

• Ability to design and create APIs 

• Ability to collaborate well with others in a development team, respecting team members; the best teams produce quality software without toxicity. Willingness to help others and humility to ask for help when needed 

Nice to Have: 

• Experience with Python 

• Experience with distributed systems tooling like Kubernetes 

• Knowledge of messaging and event-driven technologies such as MQ or Kafka 

• Passion for DevOps tools, technologies, and culture 

• Experience with other programming platforms or languages 

• Knowledge of NoSQL databases 

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 (on-site)

Relocation: Not offered

Work Authorization: Must be authorized to work in the United States without sponsorship, as E-gineering does not provide employment sponsorship now and in the future.

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