Generative AI Engineer

Overview:

We are seeking a mid-level Generative AI Engineer to join our Generative AI team. This role involves defining project goals, managing timelines, and ensuring that GenAI applications meet user needs and organizational standards. The ideal candidate will have strong full-stack development skills, particularly in AI, and will work collaboratively with cross-functional teams to deliver robust, scalable solutions.

**Position will be filled as Generative AI Engineer 1 or 2, dependent upon candidate qualifications

Responsibilities:

Essential Job Functions/Duties:
• Define project goals, create timelines, track deadlines, and assign tasks using Azure DevOps. Lead project standups and collaborate closely with stakeholders.
• Take technical responsibility for all stages of solution configuration to ensure compliance with application and architectural standards and achievement of documented requirements.
• Write and maintain comprehensive technical documentation. Offer expertise on non-technical documentation and advise cross-functional teams to ensure consistent communication and project alignment.
• Maintain existing and new applications to ensure they continue to meet user needs.
• Provide assistance to operational teams to ensure continuity of service.
• Engage in in-depth business analysis to translate requirements into robust, scalable features that align with project and organizational goals, ensuring smooth integration and high performance.
• Act as a full-stack engineer with strong expertise in both frontend (React, TypeScript) and backend (Python, Quart, REST APIs), enabling seamless communication between various systems and components.
• Implement and manage infrastructure as code using Terraform, ARM templates, Bicep files, and Azure Developer CLI to create reusable, templated solutions that enable rapid redeployment, optimize infrastructure setup, and minimize deployment time.
• Mentor and/or manage interns or junior staff.
• Develop and deploy Azure Cloud applications in a private networking environment using RBAC, Azure Key Vault, and private networking.
• Perform quality assurance tasks such as creating test plans, testing code, testing resources, and resource scaling.
• Manage source control, including maintaining repositories in GitHub and using Git to push, pull, merge, and resolve merge conflicts.
• Set up and manage Azure DevOps CI/CD pipelines and boards.
• Troubleshoot deployment and application issues.
• Work and interact effectively and professionally with and for others throughout various levels of the global organization.

Additional Duties:
• Stay up-to-date with advancements in machine learning, focusing on language models, retrieval-augmented generation (RAG), and other generative AI techniques, integrating these insights to enhance and evolve solutions.
• Create, deploy, and maintain Microsoft CoPilot agents to provide intelligent, automated assistance across business functions, enhancing productivity and user experience

Qualifications:

Minimum Work Experience/Educational Requirements:
• Bachelor's Degree in Computer Science or a related field, or equivalent experience.
• 5+ years of experience in full-stack development, with 2+ years focused on AI.
• Experience with enterprise application configuration and implementation.
• Experience with integrations between applications and databases.
• Proficiency in software development and scripting languages.
• Ability to manage tasks independently and take ownership of responsibilities, problem-solve, and remain calm in fast-paced situations.
• Perform work under minimal supervision.
• Demonstrated organizational, analytical, interpersonal, communication, and collaboration skills.