Gen AI

About the Role

This Gen AI Specialist role is an exciting opportunity to work at the intersection of artificial intelligence, automation, and modern cloud technologies. As a Gen AI Specialist, you will contribute to the development and implementation of AI-driven solutions using generative AI models, automation frameworks, and advanced observability practices.

You will work with large language models, APIs, cloud platforms, and DevOps tools to create scalable and efficient solutions. This role combines software development, AI experimentation, data processing, and operational optimization to improve technology workflows.

Key Responsibilities

• Develop and maintain AI-powered applications and automation solutions using Python and modern development practices.
• Work with generative AI technologies, including large language models (LLMs), prompt engineering techniques, and AI APIs.
• Integrate AI services such as OpenAI or Azure OpenAI into business and technical workflows.
• Prepare, process, and manage text-based data for AI applications, including data preprocessing and text handling.
• Apply basic natural language processing concepts to improve AI-driven solutions.
• Design and execute model testing, evaluation, and performance improvement processes.
• Collaborate with engineering teams to implement AI solutions within cloud-based environments.

Skills & Qualifications

• Strong programming experience with Python.
• Familiarity with automation scripting using Python or Bash.
• Understanding of generative AI concepts, large language models (LLMs), and prompt engineering.
• Experience integrating AI APIs such as OpenAI or Azure OpenAI.
• Knowledge of data preprocessing, text processing, and basic NLP concepts.
• Experience with Git, version control practices, and collaborative software development workflows.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of monitoring, observability, and troubleshooting tools such as Datadog, Grafana, Splunk, or similar platforms.
• Understanding of logs, metrics, traces, and end-to-end observability practices.
• Familiarity with Docker, Kubernetes, and container orchestration concepts.
• Understanding of DevOps principles, CI/CD pipelines, and deployment processes.
• Knowledge of incident management, SRE practices, and operational reliability concepts.
• Familiarity with ITSM tools such as ServiceNow is a plus.

What You'll Learn

In this role, you will have the opportunity to develop expertise in rapidly evolving AI and machine learning environments. You will work on innovative generative AI and automation projects, and gain exposure to modern cloud platforms, DevOps practices, and AI engineering technologies.

You will also have the chance to collaborate with a team of technically skilled professionals and learn from their experiences. This role is ideal for a technically curious professional who enjoys solving complex problems through innovation and automation.

Resume Tip

When applying for this role, make sure to highlight your experience with Python, automation scripting, and cloud platforms. Emphasize your understanding of generative AI concepts, large language models, and prompt engineering. Also, be sure to mention any experience you have with AI APIs, data preprocessing, and text processing.

Additionally, highlight any relevant certifications or training you have received in AI, machine learning, or cloud technologies. This will demonstrate your commitment to staying up-to-date with the latest developments in these fields.