AI Solutions Builder

• →Prototype Incubation & Auditing: Evaluate "vibe-coded" AI tools and automations built by non-technical business units (StratOps, Commercial Ops, etc.) to help boost their commercial ROI, security posture, and architectural viability.
• →Production Refactoring (The Paved Road): Take ownership of high-value internal prototypes (e.g., AI SDRs, RFP generators) and refactor them into secure, scalable, and enterprise-grade applications.
• →LLM Orchestration & Integration: Build and maintain secure integrations between foundational models (via APIs) and Impiricus's internal systems, specifically our Enterprise Data Lake and CRM (Salesforce).
• →Full-Lifecycle Maintenance: Act as the technical owner for all "graduated" internal AI applications, ensuring high uptime, managing prompt drift, and updating API connections as internal schemas change.
• →Cross-Functional Product Management: Act as your own PM. Interview business stakeholders to map complex operational bottlenecks, ruthlessly define scope, and manage stakeholder expectations regarding what should be an AI experience versus a standard SQL dashboard.
• →Governance Enforcement: Apply Enterprise Data & Analytics standards to all internal tooling, ensuring zero data leakage, strict access controls, and mitigation of hallucination risks in operational outputs.

• Applied Engineering Experience: 2+ years of professional experience in software engineering, data engineering, or technical architecture, with a clear track record of building and deploying functional applications.
• AI/LLM Proficiency: Demonstrable, hands-on experience building with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and managing context windows, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures in a production setting.
• Core Tech Stack: Strong understanding of computer science fundamentals and software development best practices. Strong proficiency in a programming language (Python preferred). Deep experience building and consuming RESTful APIs, and working within modern cloud environments to deploy internal applications.
• Stakeholder Management: Proven experience working directly with non-technical business leaders to translate ambiguous business problems into precise technical requirements. (Experience in a Forward Deployed, Solutions Engineering, or technical consulting role is highly preferred).
• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field—OR equivalent demonstrably successful experience building and shipping complex technical projects. (We value a strong GitHub repository and a history of shipped operational tools over degrees).

• Product Management Experience: Demonstrated ability to act as your own PM: conducting stakeholder interviews, translating messy operational problems into high-impact solutions, and managing expectations with the business. Experience as an entrepreneur or owning a product roadmap is a plus. Strong instincts for knowing what to build, what to skip, and how to build the right thing.

The base salary range for this role is $165,000 - $210,000.

Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth.

To protect candidates, please note that all communication from our team will come directly from an @impiricus.com email address. We do not engage third party recruiters to schedule interviews for this role. If you receive outreach from anyone outside of our domain claiming to represent Impiricus, please disregard and let us know by forwarding the message to careers@impiricus.com