Gen AI

Accountabilities

• Support the design, development, and optimization of AI-powered solutions
• Contribute to automation, monitoring, and operational excellence
• 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
• Support cloud infrastructure initiatives across platforms such as AWS, Azure, or Google Cloud
• Contribute to monitoring and observability practices using tools such as Datadog, Grafana, Splunk, and OpenTelemetry
• Analyze logs, troubleshoot technical issues, and support incident resolution processes
• Assist with automation initiatives, including scripting, runbook automation, and operational improvements
• Support containerized environments using Docker and Kubernetes fundamentals
• Collaborate with DevOps teams on CI/CD workflows, version control, and deployment processes
• Apply AIOps concepts, anomaly detection techniques, and intelligent automation practices to improve system reliability
• Support IT service management processes and operational workflows using tools such as ServiceNow

Requirements

• Technically skilled professional with experience in software development, artificial intelligence, cloud technologies, and automation
• Strong analytical abilities and the ability to learn and apply emerging technologies in a fast-paced environment
• Strong programming experience with Python and 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
• Understanding of model testing, evaluation, and AI solution performance measurement
• 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
• Strong problem-solving skills, curiosity, and ability to work with emerging technologies
• Ability to collaborate effectively in a remote and distributed team environment

Benefits

• Full-time remote work opportunity with flexibility and autonomy
• Opportunity to work on innovative generative AI and automation projects
• Exposure to modern cloud platforms, DevOps practices, and AI engineering technologies
• Opportunity to develop expertise in rapidly evolving AI and machine learning environments
• Collaborative environment focused on innovation, learning, and technical growth
• Opportunity to work with advanced tools across AI development, cloud infrastructure, and observability
• Flexible working environment supporting remote collaboration and continuous improvement