Software Engineer (AI-Native)

Chicago IL Hybrid Full-Time

Department: Business Technology

Hireology builds purpose-built hiring software for healthcare hospitality and retail automotive. Our platform helps businesses attract engage and hire the right people faster and with more confidence. Were headquartered in Chicago and are a team of curious practical people who care about doing good work.

Hireologys Business Technology team builds the tools workflows and automations that the rest of the company runs on from Finance and Revenue Operations to Sales Customer Success IT and Implementation. As aSoftware Engineer youll design architect and build software solutions that make the day-to-day work of those teams faster and less painful.

This isnt a role where you sit behind a ticket queue. Business Technology is a new department and youll be on the ground with non-technical colleagues regularly helping them figure out what they actually need and then building it. If you can hold a real conversation with a CFO or a CS manager and then go write the code youll fit right in.

Hireology moves fast and makes decisions quickly. Youll be context switching between teams problems and priorities on a regular basis and that should energize you not drain you. If you do your best work in a stable predictable environment this probably isnt the right fit.

Hireology has adopted a full AI Software Development Lifecycle. Our engineers spend less time writing code by hand and more time on spec-driven development context engineering and working alongside AI agents. We use Claude Code the Superpowers framework and the BMAD methodology and while we lean on these tools heavily we are very opinionated about the code that comes out the other side. Quality maintainability and good engineering judgment still matter and its your job to make sure the output meets that bar. To be clear this is not an invitation for vibe coders. We want real software engineering talent who genuinely knows how to build but has made the shift to what modern engineering actually looks like.

In practice this means you operate more like a manager than a solo developer. Youre directing agents reviewing their output correcting their course and making judgment calls on what good looks like. The quality of what gets built depends heavily on how well you understand the problem in the first place which means you have to lead with genuine customer empathy. You need to sit with people understand how they actually work and break down their problems in a way thats clear enough for both humans and AI to act on.

Strong problem decomposition is at the core of this role. Before any code gets written you should be able to articulate what the real problem is why it matters and what a good solution looks like. If youve moved beyond using AI just for autocomplete and are thinking seriously about what engineering looks like when agents do more of the work this is the right place.

• Work directly with internal teams across Finance RevOps Sales CS IT and Implementation to understand their pain points and build solutions that actually fix them.
• Architect and build full-stack applications in C# .NET and deployed in the cloud.
• Build and deploy AI agents workflows plugins and skills to automate internal business processes.
• Work within Hireologys AI SDLC using spec-driven and context engineering practices (Claude Code Superpowers BMAD).
• Deeply understand the capabilities of third-party systems we use across the business and build integrations and data flows that connect them in useful ways.
• Know when to reach for AI and when a simple deterministic solution is the better call.
• Make technical ideas understandable to non-technical stakeholders and collaborate with them through the design process.
• Practice continuous deployment feature flagging and test-driven development.
• Keep the team in the loop by documenting decisions sharing progress early and communicating proactively.
• Own what you build long-term. Theres no handoff to another team once something ships. You support it maintain it and improve it over time.
• Stay current on where AI engineering is headed and bring what you learn back to the team.

We hire against these competencies:

• Customer focus: your colleagues across Hireology are your customers and their success is the measure of yours.
• Process innovation: a genuine interest in using technology and AI to make work better not just faster.
• AI judgment: knowing when AI is the right tool and when it isnt.
• Architect mindset: comfortable planning and designing before building and leveraging AI agents and tools to do the implementation.
• Full-stack depth: solid across front-end back-end and cloud infrastructure.
• Collaborative communication: able to translate technical work clearly for people who arent engineers.
• Autonomous ownership: can drive work independently and keeps everyone appropriately in the loop.
• Agility: comfortable context switching making quick calls with incomplete information and adjusting course without a lot of hand-holding.

• 57 years of full-stack software engineering experience.
• Strong proficiency in C# .NET and (React).
• Hands-on experience in a cloud environment (AWS Azure GCP or similar).
• Experience with AI tooling in an engineering context such as LLM integrations agentic workflows or AI-augmented development.
• Familiarity with continuous deployment pipelines and feature flagging (e.g. LaunchDarkly).
• Working knowledge of Test-Driven Development (TDD).
• Comfortable evaluating third-party systems understanding their APIs and capabilities and building integrations and data flows between them.
• Able to work independently and communicate proactively with technical and non-technical stakeholders alike.
• Based in the Chicago area or willing to relocate; able to work on-site at least 3 days per week for this role.

• Microsoft Azure experience is a strong plus as it is our primary cloud platform.
• Experience with agentic frameworks such as Claude Code Superpowers BMAD or comparable tooling.
• Background supporting internal business systems across Finance RevOps CS or similar functions.
• Familiarity with MCP (Model Context Protocol) servers plugins or skills ecosystems.
• Experience with prompt engineering context engineering or spec-driven development practices.

This role is hybrid based in Chicago IL. Because Business Technology is a new department and much of the work involves face-to-face collaboration with non-technical colleagues we expect this person to be in office at least 3 days per week. That cadence may shift based on project needs. Other engineering roles at Hireology may have different arrangements.

Location: Chicago IL (hybrid; minimum 3 days/week in office for this role with flexibility based on business needs)

• Base salary: $120000- $140000 (Plus bonus)
• Health Dental and Vision coverage from day one
• 401(k) with company match
• Unlimited PTO and mental health days
• External learning budget
• Real career advancementwe promote from within

Must be authorized to work in the United States. We are not able to provide Visa sponsorship. Agency and/or Third Party inquiries will not be accepted.

Hireology is committed to equal employment opportunities regardless of race color genetic information creed religion sex sexual orientation gender identity national origin age marital status disability status or protected veteran status or any other category protected under the law. All employment decisions are solely based on business needs job requirements and individual qualifications. We support an inclusive workplace where Hireologists excel based on personal merit qualifications experience ability and job performance.