Pre-identified
Client is Growing! We are seeking an
AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt Engineer will design, develop, test, and optimize prompts, workflows, and AI-assisted solutions for enterprise applications and internal business use cases. This role will work closely with software engineers, product owners, business stakeholders, quality assurance teams, and data/AI teams to build reliable, secure, and scalable AI-enabled capabilities.
Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week
and given the flexibility to work remotely the rest of the time.
Responsibilities:- Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns for existing and new applications or systems.
- Analyze project requirements and translate business needs into effective AI interaction patterns, prompt strategies, and technical specifications.
- Develop and maintain reusable prompt libraries, evaluation criteria, and documentation for AI-assisted solutions.
- Perform prompt testing, regression testing, and quality evaluation to ensure AI outputs are accurate, consistent, safe, and aligned with business requirements.
- Work with users, software engineers, QA, and product teams to validate AI-generated outputs and resolve reported defects, inaccuracies, or usability issues.
- Partner with application development teams to integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences.
- Evaluate AI model behavior across different use cases, including summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval.
- Apply prompt engineering techniques such as role prompting, structured output design, few-shot examples, chain-of-thought alternatives, tool-use prompting, retrieval-augmented generation patterns, and guardrail design.
- Support the development of AI governance practices, including responsible AI usage, data privacy considerations, prompt safety, output validation, and compliance with enterprise policies.
- Create system documentation, user guidance, prompt usage instructions, and training materials for business and technical users.
- Assist with defining project requirements, acceptance criteria, success metrics, and evaluation benchmarks for AI-enabled features.
- Monitor prompt and workflow performance in production and recommend improvements based on user feedback, quality metrics, and model behavior.
- Collaborate with engineering teams on version control, release management, testing automation, and continuous improvement of AI solutions.
- Mentor junior team members and help establish best practices for prompt design, AI solution testing, and responsible AI adoption.
- Lead small project teams or workstreams focused on AI solution design, prompt optimization, or AI-assisted application features.
Qualifications:- Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience.
- 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments.
- Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools.
- Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages.
- Experience working with APIs, JSON, structured outputs, application integrations, and enterprise software development practices.
- Familiarity with AI concepts such as large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety.
- Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies.
- Experience with development tools and environments such as GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines.
- Experience in SDLC development methodologies, including Agile.
- Strong analytical, troubleshooting, and problem-solving skills with the ability to evaluate AI output quality and identify root causes of poor results.
- Strong written communication skills with the ability to create clear prompts, documentation, requirements, and user-facing instructions.
- Experience collaborating with cross-functional teams, including business users, QA, developers, architects, product owners, and security or compliance partners.
- Experience mentoring members of development or technical teams.
Preferred Skills- Experience with enterprise AI platforms, model providers, or internal AI tooling.
- Experience with prompt evaluation frameworks, automated testing of AI outputs, or model performance benchmarking.
- Experience designing prompts for secure enterprise use cases involving sensitive, confidential, or regulated information.
- Knowledge of responsible AI practices, data protection, information security, and AI governance principles.
- Experience with knowledge management systems, search technologies, vector databases, or retrieval-augmented generation solutions.
- Experience building AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions.
Hourly range $70-85/hr Client considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education.#LI-MR1#LI-remote