Generative AI Engineer

Job Summary

The AI Engineer will design, test, optimize, and support AI-powered agent experiences across customer-facing and internal business workflows. This role combines application development, prompt engineering, agent orchestration, AI quality assurance, evaluation framework development, and observability to improve agent reliability, accuracy, consistency, and user experience. The ideal candidate has a strong application development background, hands-on experience with Generative AI and Large Language Models (LLMs), and the ability to quickly understand complex business challenges and deliver effective technical solutions. This is a fully remote role requiring strong communication skills, independent execution, and the ability to contribute effectively with minimal ramp-up time.

Job Responsibilities

• Design, develop, and iterate on AI agent logic and workflows for business use cases.
• Create, test, and optimize prompts, system instructions, tools, and workflows to improve agent performance.
• Conduct prompt experiments and A/B testing to measure effectiveness and identify improvement opportunities.
• Analyze agent responses and refine prompting strategies to improve accuracy, consistency, groundedness, and user satisfaction.
• Document prompt patterns, reasoning frameworks, reusable templates, and agent design decisions.
• Collaborate with engineering teams to deploy prompt and agent updates through established software development lifecycle processes.
• Design and execute comprehensive test plans for AI agents, web applications, APIs, and backend services.
• Develop evaluation frameworks and scoring methodologies for AI output quality.
• Create and maintain test cases covering accuracy, hallucination detection, safety, tone and style adherence, instruction following, context retention, and response consistency.
• Perform regression testing for prompt, model, application, and workflow changes.
• Track, prioritize, validate, and retest defects using Azure DevOps or similar platforms.
• Utilize AI observability platforms to monitor model and agent performance.
• Analyze user interactions and evaluation results to identify trends and improvement opportunities.
• Develop and monitor quality metrics related to accuracy, relevance, latency, user satisfaction, defect rates, and prompt performance.
• Investigate production issues and recommend prompt, workflow, application, or architectural improvements.
• Support the integration of AI capabilities into enterprise applications and business workflows.
• Collaborate with developers to validate API integrations, retrieval pipelines, and agent workflows.
• Support CI/CD deployment, release validation, and automated testing activities.
• Create and maintain automated testing assets and frameworks where appropriate.
• Maintain documentation for prompts, evaluation methodologies, testing procedures, and agent configurations.
• Participate in sprint planning, backlog refinement, and other Agile ceremonies.
• Communicate technical findings and recommendations to technical and non-technical stakeholders.
• Share best practices, technical knowledge, and lessons learned across the team.

Job Requirements

• Minimum of 4-5 years of relevant experience in application development, software engineering, QA engineering, automation testing, business systems analysis, or a related technical role.
• At least 1 year of hands-on experience with Generative AI, LLMs, prompt engineering, conversational AI, or AI-powered agent solutions.
• Strong application development and software engineering background.
• Experience designing, developing, testing, and supporting enterprise applications.
• Experience designing and executing structured test plans and testing methodologies.
• Experience working with AI agents and agent-based workflows.
• Experience working with Azure technologies and Azure DevOps or similar Agile delivery platforms.
• Experience working with APIs and JSON data structures.
• Strong analytical, troubleshooting, and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to quickly understand complex business challenges and contribute effectively with minimal ramp-up time.
• Ability to work independently and collaboratively in a remote team environment.

Education

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is required.

Technical Skills

• Prompt engineering and prompt opti…