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Solen Software Group • Salt Lake, UT

22h • Onsite

About The Position

Solen Software Group is on a mission to revolutionize the vertical SaaS landscape by tapping into the untapped potential of proprietary operational data that our portfolio companies possess. This data is a formidable moat, but only if it's harnessed effectively. As an AI Engineer at Solen, you'll be instrumental in transforming this potential into tangible software solutions. Embedded within a small, dynamic AI pod, you'll be tasked with deploying real systems into real operational environments across our OpCos. Unlike traditional R&D or internal enablement roles, this position is about building, deploying, and making a measurable impact. Multiple pods are being launched globally, each with the same ambitious mandate, and measured against each other based on what reaches production and its tangible value.

Requirements

• 4+ years of experience in building and shipping production software with direct system ownership.
• Strong background in systems integration, including APIs, authentication, and data pipelines.
• Practical experience deploying LLM-based systems to production, managing failure modes, and non-determinism.
• Proficiency in a modern backend stack (e.g., Python, TypeScript/Node) and SQL.
• Proven ability to work directly with non-technical stakeholders to define and validate requirements.
• Comfort working without a project manager or predefined roadmap.
• Systems Integration Expertise — Ability to work against undocumented systems and create reliable data pipelines.
• AI Judgment — Skill in selecting and implementing the right AI solutions for varied challenges.
• Fast and Quality-Driven — Capacity to deliver quickly while maintaining robust error handling and logging.
• Effective Communicator — Proficiency in conveying technical concepts to non-technical stakeholders.
• Self-Directed Problem Solver — Competence in independently scoping and solving complex problems.
• Integration Engineering — Mastery of handling complex system integrations rather than just model engineering.
• Applied AI Judgment — Ability to choose and justify the appropriate AI method for each unique problem.
• Speed with Quality Assurance — Efficiency in coding with adequate safeguards for deployment stability.
• Operator-Facing Communication — Skill in translating technical capabilities into business-friendly language.
• Ambiguity Tolerance — Comfort in navigating and resolving unclear, open-ended challenges.

Nice To Haves

• Experience with vertical SaaS, ERP, or industry-specific software.
• Background in an early-stage startup or as a founding engineer.
• Experience using agentic coding tools as a core workflow component.
• Familiarity with workflow automation platforms and evaluation tooling.
• Exposure to private equity or multi-entity operating environments.
• Depth in data engineering, capable of building and consuming data pipelines.

Responsibilities

• Work closely with OpCo leaders to pinpoint high-impact operational workflows and then scope and construct AI-driven systems that enhance these processes.
• Convert complex operational data into efficient, AI-enabled solutions that resonate with real-world needs.
• Seamlessly integrate with existing systems, whether they're legacy databases, undocumented APIs, or third-party SaaS platforms.
• Ensure smooth data flow into and out of production systems, culminating in fully functional deployments.
• Oversee the complete lifecycle of feature deployment in live environments, from initial build to deployment, monitoring, iteration, and final handoff.
• Establish evaluation frameworks to ensure systems are accurate and reliable, not just for show.
• Transform bespoke solutions into reusable components that other pods can deploy without needing extensive rewrites.
• Create integration adapters, evaluation harnesses, and templates that streamline future deployments.
• Produce tangible, validated metrics that demonstrate economic impact, such as time saved or costs reduced, verified by the OpCo operator.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed