What are the responsibilities and job description for the Generative AI Technical Support Engineer position at Ampstek?
Title: GenAI Support Engineer
Location: Hartford, CT (Onsite)
Long-Term Contract.
Job Description:
We are seeking a highly skilled and motivated GenAI Support Engineer to join our team. As a GenAI Support Engineer, you will be responsible for providing technical support, troubleshooting, and solutions for our AI-driven products and services. You will work closely with customers, engineering teams, and product managers to ensure the smooth operation and optimization of GenAI models, systems, and applications.
Technical Support: Provide expert-level support for GenAI products and services, including troubleshooting, debugging, and resolving technical issues.
End User Interaction: Work directly with end users to understand their needs, gather requirements, and provide solutions for GenAI-related challenges.
Problem Resolution: Identify, diagnose, and resolve complex technical problems involving AI models, algorithms, prompts and software.
Collaboration: Collaborate with engineering and product teams to improve product features, functionality, and reliability based on customer feedback.
Documentation: Create and maintain detailed documentation of support processes, issues, and resolutions for internal and external stakeholders.
Training and Guidance: Assist in training customers and internal teams on best practices for using and maintaining GenAI products.
Monitoring and Reporting: Monitor system performance, perform regular health checks, and generate reports on system status, incidents, and resolutions.
Continuous Improvement: Stay up to date with the latest advancements in AI/ML/GenAI technologies and contribute to the continuous improvement of support processes and tools.
Qualifications Proven experience in a technical support or engineering role, preferably in AI/ML/GenAI environments.
Experience with GenAI models (e.g., GPT, Claude, PaLM2, Llama2) and frameworks (e.g., RAG, Agents, COT).
Hands-on experience with any of cloud platforms (Azure, AWS, GCP) and DevOps tools (any CI/CD platform)Strong problem-solving and analytical skills.
Proficiency in programming languages such as Python, Java, or C .
Familiarity with RESTful APIs, microservices architecture, and database management.
Excellent communication and interpersonal skills.
Ability to work independently and in a team-oriented, collaborative environment.
Customer-focused mindset with a passion for delivering high-quality support Experience with natural language processing (NLP) and machine learning (ML) models.
Experience with large language models (LLMs) such as GPT-3.5 Turbo, GPT-4.0, and GPT-4-O.
Familiarity with containerization technologies like OpenShift, Docker, and Kubernetes.
Experience with application monitoring solutions like Dynatrace and Splunk
