Generative AI Engineer

Only USC OR GC candidates required

Required qualifications:

• Expert Python development skills
• Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization.
• Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem. Hands on experience building frameworks using MLFlow, KubeFlow, Fine – Tuning techniques, Inference Frameworks
• Building API based application leveraging FAST API services, JWT Integration, API Gateway
• Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing
• Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)

Job responsibilities:

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
• Utilizes multiple architectural components (across data, application, business) in design and development of client requirements.
• Performs Continuous Integration and Continuous Development (CI-CD) activities.
• Contributes to story refinement and definition of requirements.
• Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.
• Experience developing RAG, MCP modules