AI Technical Support EngineerJob Title AI Technical Support Engineer
Job Summary We are seeking a proactive AI Technical Support Engineer to provide technical support for AI-powered applications, machine learning platforms, and Generative AI solutions. The ideal candidate will troubleshoot technical issues, assist customers and internal teams with AI product usage, monitor system performance, and collaborate with engineering teams to resolve complex problems. This role combines technical support, AI knowledge, and customer-facing communication to ensure a high-quality user experience.
Key Responsibilities - Provide technical support for AI, machine learning, and Generative AI applications.
- Diagnose and resolve issues related to AI model deployments, APIs, inference services, and application performance.
- Troubleshoot integration issues involving REST APIs, SDKs, databases, and cloud services.
- Monitor AI application health, system logs, and performance metrics to identify and resolve incidents.
- Assist customers and internal teams with AI platform configuration, onboarding, and troubleshooting.
- Reproduce reported issues, document findings, and collaborate with engineering teams to implement fixes.
- Create and maintain technical documentation, knowledge base articles, FAQs, and troubleshooting guides.
- Support model deployment, version updates, and production rollouts.
- Escalate complex technical issues while ensuring timely communication and resolution.
- Stay informed about AI technologies, product updates, and support best practices.
Required Qualifications - Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Electronics, or a related field.
- 1-3 years of experience in technical support, application support, software support, or AI/ML support.
- Basic understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.
- Proficiency in Python for troubleshooting, scripting, or automation.
- Familiarity with REST APIs, JSON, and API testing tools such as Postman.
- Basic knowledge of SQL and relational databases.
- Experience working with Linux operating systems and command-line tools.
- Familiarity with Git and software development workflows.
- Strong analytical, troubleshooting, and debugging skills.
Preferred Qualifications - Experience supporting Large Language Model (LLM)-based applications.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
- Knowledge of Docker and containerized deployments.
- Exposure to vector databases, Retrieval-Augmented Generation (RAG), or AI agents.
- Experience with monitoring and logging tools such as Grafana, Prometheus, ELK Stack, or Splunk.
- Understanding of IT service management (ITSM) processes and ticketing systems such as Jira or ServiceNow.
Technical Skills - Python
- SQL
- Linux
- REST APIs
- JSON
- Postman
- Git
- Docker (preferred)
- AWS / Azure / Google Cloud (preferred)
- Grafana / Prometheus / ELK / Splunk (preferred)
- Jira or ServiceNow
Soft Skills - Excellent troubleshooting and problem-solving abilities.
- Strong verbal and written communication skills.
- Customer-focused mindset with a commitment to service quality.
- Ability to prioritize tasks and manage multiple support cases.
- Strong collaboration skills and ability to work with cross-functional teams.
- Willingness to learn emerging AI technologies.
Nice to Have - AI, cloud, or technical support certifications.
- Experience supporting SaaS or enterprise software platforms.
- Basic knowledge of MLOps and model deployment workflows.
- Familiarity with scripting for automation and log analysis.
- Experience working in a 24×7 support environment.
Benefits - Competitive salary and performance-based incentives.
- Comprehensive health and wellness benefits.
- Learning and certification reimbursement.
- Flexible work arrangements.
- Opportunity to work with cutting-edge AI and Generative AI technologies.
- Collaborative, inclusive, and growth-oriented work environment.
