Gen AI Specialist

About the Role

This opportunity is presented on behalf of a partner organization seeking a Gen AI Specialist based in Canada. The position offers the chance to work at the convergence of artificial intelligence, automation, and contemporary cloud technologies. The role involves contributing to the creation and deployment of AI-driven applications that utilize generative AI models, automation frameworks, and progressive observability methodologies.

The role interlaces software engineering, AI experimentation, data handling, and operational refinement to enhance technology workflows. Responsibilities include working with large language models, APIs, cloud infrastructures, and DevOps utilities to engineer scalable, efficient solutions. This opening is well-suited for a technically inquisitive individual passionate about addressing complex challenges through innovative and automated approaches.

Responsibilities

• Create and upkeep AI-enabled applications and automation workflows using Python and contemporary development methodologies.
• Engage with generative AI technology stacks, including large language models, prompt engineering, and AI APIs.
• Integrate AI services such as OpenAI or Azure OpenAI into various business and technical systems.
• Manage textual data through preprocessing and processing relevant to AI applications.
• Implement foundational natural language processing strategies to enhance AI system performance.
• Design and perform evaluation and improvement procedures for AI models.
• Collaborate with engineering teams to deploy AI solutions within cloud platforms.
• Contribute to cloud infrastructure efforts on AWS, Azure, or Google Cloud environments.
• Participate in observability and monitoring using tools like Datadog, Grafana, Splunk, and OpenTelemetry.
• Analyze logs, resolve technical issues, and aid in incident management.
• Support automation tasks including scripting and runbook automation aiming for operational improvements.
• Work with containerization technologies, understanding Docker and Kubernetes concepts.
• Partner with DevOps teams on continuous integration/delivery, version control, and deployment workflows.
• Utilize AIOps methodologies, anomaly detection, and smart automation to boost system resilience.
• Assist IT service management and operational workflows employing tools such as ServiceNow.

Requirements

• Proficiency in Python programming and scripting for automation using Python or Bash.
• Comprehension of generative AI principles, large language models, and prompt engineering practices.
• Skill in integrating AI APIs like OpenAI or Azure OpenAI.
• Experience in data preprocessing, text manipulation, and foundational natural language processing.
• Competency with Git version control and collaborative coding methodologies.
• Knowledge of AI model testing, performance evaluation, and tuning.
• Familiarity with major cloud service providers including AWS, Azure, or Google Cloud.
• Understanding of monitoring, observability, and troubleshooting environments such as Datadog, Grafana, and Splunk.
• Ability to interpret logs, metrics, traces, and implement comprehensive observability practices.
• Exposure to container orchestration with Docker and Kubernetes basics.
• Awareness of DevOps concepts, CI/CD pipelines, and software deployment techniques.
• Understanding of incident response, site reliability engineering, and operational stability.
• Knowledge of IT service management tools like ServiceNow is advantageous.
• Demonstrated problem-solving aptitude, curiosity, and eagerness to adopt new technologies.
• Capability to collaborate effectively in distributed and remote work settings.

Benefits

• Opportunity to work fully remotely offering flexibility and work autonomy.
• Engagement on cutting-edge projects involving generative AI and automation.
• Experience working with modern cloud platforms, DevOps techniques, and AI engineering tools.
• Chance to advance skills within fast-evolving AI and machine learning fields.
• Collaborative culture emphasizing innovation, learning, and technical development.
• Exposure to sophisticated tools across AI development, cloud infrastructure, and monitoring.
• Supportive work environment promoting remote teamwork and ongoing improvements.

Additional Information

This role is processed through an AI-powered matching system that objectively shortlists candidates based on core job requirements. The hiring partner controls the selection process thereafter. Applicants acknowledge that their personal data will be processed according to applicable data privacy laws including GDPR, and AI tools might be used to assist in recruiting, although final decisions rest with human evaluators.