At a Glance
- Tasks: Build AI infrastructure that empowers teams to deliver exceptional government services.
- Company: Join Clariti, a leader in community development software for local governments.
- Benefits: Competitive salary, health benefits, and generous time off to keep you thriving.
- Other info: Dynamic remote work environment with opportunities for growth and learning.
- Why this job: Make a real impact by shaping the future of AI in government software.
- Qualifications: 6+ years in software engineering with experience in AI systems.
The predicted salary is between 103000 - 160000 $ per year.
Join our mission to provide governments with exceptional experiences so they can do the same for their communities! We empower governments to deliver exceptional citizen experiences. About Clariti: Clariti builds community development software for cities and counties: permitting, licensing, plan review, and the workflows that let local governments serve their residents. We are in the middle of an AI-native transformation.
About the role: Engineering at Clariti runs on our Agentic SDLC framework: agent specs, reusable prompts, orchestration templates, and eval harnesses that let small pods deliver at multiples of traditional velocity. The Applied AI pod owns that framework and is now extending it beyond engineering: into our Professional Services delivery practice and into the Clariti AI harness, the platform of connectors, skills, and guardrails that lets non-technical employees across Sales, CX, Finance, People, and PS use AI safely on real work.
You are the senior engineer on this pod. Think of the job as DevOps for AI: you do not ship product features, you ship the infrastructure that makes everyone else faster. Where a DevOps engineer builds pipelines, golden paths, and observability for code, you build them for AI: the connector layer, the eval harnesses, the orchestration runtime, the cost and quality telemetry, and the guardrails that make agent output trustworthy enough for government software.
What you will do:
- Build and evolve the Agentic SDLC framework.
- Design and implement the agent workflows, orchestration templates, and reusable components the build pods run on.
- Harden what exists, extend what is missing, and keep the framework fast as model capabilities and our delivery patterns change.
- Build the connector layer.
- Design, implement, and operate MCP servers and integrations into our core systems so agents and non-technical employees can act on real company data with correct permissions.
- Make evals the backbone.
- Build and maintain the eval harnesses that score agent output automatically.
- Own AI observability and cost telemetry.
- Engineer the guardrails.
- Ship enablement infrastructure.
What you bring:
- 6+ years as a software engineer shipping production systems, with at least 1 to 2 years building LLM-powered or agentic systems.
- Strong general engineering fundamentals.
- Hands-on depth in the current agentic stack.
- A platform temperament.
- Comfort operating with a small blast radius and high autonomy.
Nice to have:
- Experience in regulated or public-sector software.
- Prior DevOps, platform engineering, or internal developer platform ownership.
- Experience instrumenting and optimizing LLM cost and quality at scale.
How success is measured:
- 90 days: You know the Agentic SDLC framework end to end.
- 12 months: The framework is measurably faster and more reliable than the day you joined.
What’s in it for you? We invest in and empower our team members with competitive compensation packages, well-deserved time off and benefits to keep you and your family healthy!
Things to Note: Background checks are required for all successful candidates. Travel is expected for occasional in-person meetings.
We’re committed to building an inclusive culture where our team members take ownership over projects, tasks, and outcomes; bring a growth mindset to drive continuous learning and self-development; have the ability to communicate courageously; and are customer-focused.
We welcome and encourage candidates of all backgrounds to apply.
If you require accommodations in completing an application, interviewing, or otherwise participating in our hiring process, please direct your questions to hr@claritisoftware.com.
Senior Software Developer, Applied AI in Winnipeg employer: Camino
At Clariti, we are dedicated to empowering governments to enhance citizen experiences through innovative community development software. Our inclusive work culture fosters growth and collaboration, offering competitive compensation, comprehensive benefits, and opportunities for professional development in a dynamic, AI-driven environment. Join us in making a meaningful impact while enjoying the flexibility of remote work and occasional team gatherings.
