Note: The job is a remote job and is open to candidates in USA. AXIA Environmental is seeking an AI Engineer & Internal Applications Developer to build, deploy, and maintain production AI services and internal applications. The role partners with employees and leadership to improve workflows, organize company information, and support technical teams and business operations.

Responsibilities

• Design, evaluate, deploy, and maintain self-hosted language and embedding models for internal business applications
• Build RAG pipelines incorporating document parsing, chunking, vector search, reranking, prompt design, and source citations
• Develop evaluation methods to measure model accuracy, reliability, and continuous improvement
• Monitor deployed AI systems for performance, quality, cost, and failures
• Build and automate data pipelines that convert PDFs, scanned reports, spreadsheets, and forms into structured, searchable information
• Design data schemas, metadata standards, and access controls for company documents and project records
• Extract and organize structured information from complex, unstructured technical documents
• Develop and maintain APIs and backend services supporting internal applications across cloud and on-premises environments
• Manage databases, job queues, authentication, logging, and application deployment
• Implement security controls appropriate for confidential company and client information
• Work directly with employees and leadership to gather requirements and develop practical, user-friendly applications
• Design intuitive interfaces that integrate AI services into everyday business workflows
• Train employees on new applications and provide ongoing technical support
• Maintain clear technical documentation to support future enhancements and maintenance

Skills

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience
• Demonstrated experience building and deploying production AI/ML systems, not just prototypes or proof-of-concept applications
• Strong Python programming skills and hands-on experience with LLM and RAG technologies, including embeddings, vector databases, and open-weight model serving
• Experience designing and automating data pipelines using AWS or another major cloud platform
• Backend development experience with REST APIs, relational databases, and containerized deployments
• Ability to explain technical concepts, solutions, and tradeoffs clearly to non-technical employees and leadership
• Strong problem-solving, organizational, and project ownership skills, with the ability to manage multiple priorities independently
• Must be legally authorized to work in the United States without current or future employer-sponsored visa sponsorship
• Experience deploying local or on-premises AI models, including quantization, GPU serving, and fine-tuning
• Experience with document AI technologies, including OCR, PDF parsing, table extraction, and layout analysis
• Front-end application development experience using React or low-code platforms
• Experience translating business rules, pricing structures, and operational processes into software applications
• Background in engineering, environmental consulting, or other technical or professional services industries

Benefits

• Remote work environment.
• Medical, dental, vision, and life insurance.
• 401(k) retirement plan with company match.
• Paid time off.
• Professional development and long-term career growth opportunities.

Company Overview