Artificial Intelligence Engineer

We are seeking an AI Engineer to join a lean, high-impact transformation team. In this role, you will serve as the bridge between AI capabilities and business users, designing, testing, and optimizing AI-driven solutions. You will help end users maximize the value of large language models (LLMs) and AI-powered workflows, including the integration of documents, local files, and enterprise data sources.You will collaborate with product, engineering, and business stakeholders to build reusable prompt frameworks, develop evaluation tooling, and support document-intensive use cases. You will also help establish AI governance, safety, and security practices by proactively testing for vulnerabilities, bias, and misuse risks before solutions reach production.ResponsibilitiesEstablish and maintain a structured prompt library covering common AI use cases such as summarization, Q&A, information extraction, code generation, and document analysis.Apply advanced prompting techniques including chain-of-thought reasoning, few-shot prompting, role-based prompting, and structured input design.Design and develop Retrieval-Augmented Generation (RAG) solutions that connect enterprise systems, operational data, document repositories, and business applications.Deploy, evaluate, and optimize LLM-powered applications including internal knowledge assistants, conversational AI experiences, and workflow automation tools.Conduct A/B testing of prompt strategies and maintain performance benchmarks.Develop reusable prompt patterns for multi-document workflows, long-context processing, and structured data analysis.Partner with business teams to translate operational challenges into AI-driven solutions.Implement AI governance controls including data privacy requirements, prompt security, model safeguards, and responsible AI practices.Perform adversarial testing and evaluate prompt injection risks related to document and file-based workflows.Build and maintain evaluation frameworks to measure quality, consistency, and performance across model updates.Monitor production AI solutions for reliability, performance, cost efficiency, and user adoption.Perform other duties as assigned.Qualifications3+ years of software engineering, machine learning, or applied AI experience.At least 1 year of hands-on experience working with large language models (LLMs) and prompt engineering.Experience with production or near-production deployments of AI solutions.Background in technical writing, instructional design, developer advocacy, UX, or a related field preferred.Strong understanding of prompt engineering best practices, including system prompt design, output validation, hallucination mitigation, and evaluation methodologies.Experience with AI safety testing, adversarial evaluation, red teaming, or security-focused model assessments.Proven ability to own solutions from design through deployment, monitoring, and optimization.Experience working in regulated industries such as healthcare, life sciences, financial services, manufacturing, logistics, or government environments preferred.Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical audiences.Demonstrated ability to collaborate across engineering, product, operations, and customer-facing teams.