Senior AI Engineer at E-gineering Inc.

<h3><strong>About E-gineering</strong>&nbsp;</h3> <p><span data-contrast="auto">E-gineering&nbsp;(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&nbsp;what's&nbsp;right, and are willing to take risks to uphold our values.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Why Join Us?</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Work-Life Balance:</span></strong><span data-contrast="auto"> We&nbsp;maintain&nbsp;a strict 40-hour work week. Your personal life matters as much as your professional&nbsp;one.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Award-Winning Culture:</span></strong><span data-contrast="auto">&nbsp;For over 13 years,&nbsp;we've&nbsp;been named one of the Best Places to Work in Indiana, consistently ranking in the top 3.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Grace in Tough Times:</span></strong><span data-contrast="auto">&nbsp;Life happens. When it does, we offer grace and flexibility so you can focus on what matters most—yourself and your family.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-ccp-props="{}">&nbsp;</span></p> <hr> <p><strong>Position Overview</strong>&nbsp;</p> <p><strong><span data-contrast="auto">Title:</span></strong><span data-contrast="auto">&nbsp;Senior AI Engineer&nbsp;</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Type:</span></strong><span data-contrast="auto">&nbsp;W-2 Employment&nbsp;</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong>Location</strong>: Indianapolis, IN (on-site)</p> <p><strong><span data-contrast="auto">Relocation: Not offered</span></strong></p> <p><strong>Work Authorization:&nbsp;</strong>Must be authorized to work in the United States without sponsorship, as E-gineering does not provide employment sponsorship now and in the future.</p> <hr> <p><strong>The Role</strong>&nbsp;</p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{}">&nbsp;</span></p> <hr> <p><strong>What You'll Do</strong>&nbsp;</p> <p><strong><span data-contrast="auto">AI Solution Engineering</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Evaluations and Quality</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">Shipping AI features responsibly means knowing whether they actually work.&nbsp;You'll&nbsp;design and implement evaluation frameworks to measure LLM output quality, build regression and benchmark suites, and&nbsp;establish&nbsp;feedback loops that drive iteration. You should bring an engineering mindset to a space where "it seems to work"&nbsp;isn't&nbsp;good enough.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Client Delivery</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">As a consultant,&nbsp;you'll&nbsp;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,&nbsp;participating&nbsp;in discovery and pre-sales conversations, and mentoring client and E-gineering&nbsp;developers on AI engineering practices as part of delivery.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Data Readiness</span></strong>&nbsp;</p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Internal Capability Building</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">You'll&nbsp;contribute to E-gineering's&nbsp;growing AI engineering practice by sharing what you learn in the field—whether that's reusable patterns, starter kits, evaluation tooling, or lessons learned.&nbsp;You'll&nbsp;help teammates level up through pairing, code reviews, and informal knowledge sharing.</span><span data-ccp-props="{}">&nbsp;</span></p> <hr> <p><strong>What We're Looking For</strong>&nbsp;</p> <p><strong><span data-contrast="auto">Must-Have Qualifications</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li>Must reside in the Greater Indianapolis area and can work on-site regularly (<strong><u>this role is not open to fully remote or relocating candidates</u></strong>)</li> <li>5+ years of experience as a Software Engineer, with strong fundamentals in at least one modern language and ecosystem&nbsp;</li> </ul> <ul> <li>1+ years of hands-on experience building LLM-powered applications (RAG, agents, tool use, prompt engineering—not just using chat interfaces)&nbsp;</li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Practical experience with agent frameworks (e.g.,&nbsp;LangGraph,&nbsp;CrewAI,&nbsp;AutoGen, or similar) and orchestration patterns</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Experience designing and implementing evaluation strategies for LLM systems</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Solid understanding of API design, data pipelines, and cloud infrastructure as they relate to AI-enabled applications</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">"We" mentality coupled with a servant leadership mindset</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Excellent communication skills for both technical and non-technical audiences</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">Preferred Skills</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Experience with MCP (Model Context Protocol) or similar tool-integration patterns</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Familiarity with vector databases and embedding strategies for retrieval systems</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Experience with model fine-tuning or distillation</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Production-level experience with several of the following:</span> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">RAG</span></li> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Agents and familiarity with Frontier Provider SDKs/APIs</span></li> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Evaluation strategies and implementations</span></li> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Model selection</span></li> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Prompt and Context engineering</span></li> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Finetuning</span></li> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Dataset Engineering</span></li> </ul> </li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">History of conference speaking or technical writing</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Experience with data engineering or data science workflows</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Contributions to open-source AI tooling or frameworks</span><span data-ccp-props="{}">&nbsp;</span></li> </ul>