[Hiring] AI Platform Support Engineer @UtiliSave LLC

Role Description

This is a ground-floor opportunity to grow alongside a company in the middle of a major AI and technology transformation. Reporting directly to the AI Lead, you will work hands-on with our AI Assistant Platform, which leverages large language models, retrieval-augmented generation (RAG), and embedding-based search to serve auditor and operational workflows. Our current production stack runs on AWS (Amazon Bedrock, Amazon Q Business, AWS Textract, and S3), but we value strong fundamentals in AI engineering over exclusive expertise in any single cloud.

This is a full-time position with exciting growth potential. The ideal candidate is an energetic and curious team player, comfortable learning new technologies quickly, and brings initiative to a fast-moving environment. This role offers a clear path to grow into senior AI engineering or platform architect responsibilities as we scale.

Key Responsibilities

• Support the day-to-day operation and maintenance of the AI Assistant Platform, including monitoring system health, triaging issues, and coordinating fixes with the development team.
• Build and maintain RAG pipelines—chunking, embedding generation, vector indexing, retrieval tuning, and evaluation—to keep the knowledge base accurate and relevant.
• Configure and refine LLM agent behavior, including instruction tuning, tool/Action Group testing, and prompt engineering to improve answer quality for auditor queries.
• Assist with data pipeline tasks including metadata extraction, JSON generation, SQL loading, and semantic indexing.
• Coordinate and execute testing cycles for AI features, collect structured feedback from auditors, and track resolution in JIRA.
• Support document extraction workflows for utility bill processing, validating accuracy and expanding template coverage to new formats.
• Evaluate, pilot, and recommend emerging AI tools and capabilities (e.g., Claude Code, Claude for Excel, Cursor IDE, Amazon Bedrock Agent Core) for adoption across the organization.
• Maintain technical documentation for AI platform components, data flows, agent configurations, and operational runbooks.
• Assist with cloud storage organization, data source management, and cost optimization across AI services.
• Support future integration between the AI platform and CRM by helping define data exchange interfaces and testing data flows.
• Collaborate cross-functionally with auditors, developers, and leadership to translate business needs into AI platform improvements.

Qualifications

• 2–4 years of experience in a technical role involving AI/ML tools, cloud platforms, data engineering, or software development support.
• Solid working knowledge of modern AI and LLM concepts, including prompt engineering, retrieval-augmented generation (RAG), embeddings, vector databases, and agent-based architectures.
• Demonstrated experience building or operating RAG or embedding-based systems (from prototype to production).
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Experience with AWS AI services (Bedrock, Q Business, Textract, S3) is a strong plus, but equivalent experience on other clouds is welcome.
• Proficiency in Python (preferred) or JavaScript for scripting, data processing, and automation.
• Experience with SQL databases for querying, loading data, and basic schema design.
• Familiarity with AI-assisted development tools such as Cursor IDE, Claude Code, or GitHub Copilot.
• Familiarity with work-tracking tools such as JIRA, Azure DevOps, or similar.
• Strong communication skills, with the ability to document technical processes and communicate status to both technical and non-technical stakeholders.
• Self-starter mentality, strong curiosity about AI advancements, and a willingness to learn quickly.
• High attention to detail when working with data pipelines, configurations, and testing workflows.
• Exposure to document extraction/OCR tools is a plus.
• Bachelor's degree preferred but not required; equivalent hands-on experience accepted.

Benefits

• Competitive base salary (starting target range: $65,000–$80,000) plus performance-based bonus.
• Comprehensive benefits, including health, dental, and vision insurance, 401(k) with company match.
• Generous PTO plus 11 paid holidays.
• Job Type: Fully remote role. Work Hours 9–6 PM EST, must be based in US in a state with no more than 1 hour time difference from EST. Must be authorized to permanently work in US, with no need for visa support.

How to Apply

Email your resume and a short note describing:

• Your experience with AI tools, cloud platforms, or data pipelines.
• A technical challenge you solved and what you learned from it.
• What excites you about working on a production AI platform.

Send materials to [email protected] with the subject line “AI Platform Support Engineer.”