[CMI] AI engineer
Design and deploy AI and Generative AI solutions, including LLM-powered applications, RAG pipelines, and agent-based automation, taking projects from rapid prototypes to production systems.
AlphaGov (Casa Moon LLC d/b/a AlphaGov) delivers public-sector consulting for cities, counties, school systems, special districts, utilities, and related agencies. Our work spans classification and compensation, organizational and operational studies, research and program evaluation, economic and workforce analysis, surveys and community research, and applied data and infrastructure research.
We engage experienced practitioners as project-based collaborators. Engagements are remote-first with occasional client travel. When you authorize it, AlphaGov may name you as an expert collaborator or key personnel on proposals that match your expertise. We build ready teams for live pursuits β not speculative staffing banks.
This opportunity is contingent upon contract award and final staffing approval. Permission will be requested before including a candidate's name or resume in a proposal.
AlphaGov is seeking an AI Governance / Responsible AI Specialist to develop practical AI-use and governance policy for public agencies and utilities β covering acceptable-use guardrails, risk assessment, privacy, model documentation, and implementation-ready policy frameworks that also support multi-entity AI services pursuits.
What you'll do:
Requirements
Required:
Nice to have:
Design and deploy AI and Generative AI solutions, including LLM-powered applications, RAG pipelines, and agent-based automation, taking projects from rapid prototypes to production systems.
Build and operate production AI systems by turning research prototypes into dependable product workflows, creating evaluation pipelines and dashboards, and improving model quality, reliability, latency, and cost.
Build and scale AI-powered workflows across finance and operations, connecting enterprise systems through APIs and data pipelines while measuring impact and enabling teams to automate their work.
Build AI agent systems and own full-stack product development, shaping technical direction, product decisions, scalable backend systems, and infrastructure as the company grows.
Develop and deploy production-ready agentic and multimodal AI systems across language, vision, and speech, owning scoped components from design through deployment and improving their reliability, performance, and cost-efficiency.