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AI Engineer (With Strong Java and Springboot, AI) 2 open roles Location: Phoenix, AZ (Onsite)
PeopleNTech LLC
33 minutes ago
Full-time
On-site
Alexandria, Virginia, United States
Job Description Job Description
Role: AI Engineer (With Strong Java and Springboot, AI) – 2 open roles Location: Phoenix, AZ (Onsite) Fulltime or C2H - $70hr on C2C Indent: SF_OP_173619-4-4
Required Skills
Strong programming skills (Camunda, Java, Java Springboot, Vertex.AI, n8n). Knowledge of REST APIs and system integration. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with databases and DevOps tools like Docker and Kubernetes. Problem-solving and debugging skills. Excellent communication and stakeholder management. Ability to work independently in customer-facing environments.
Key Responsibilities
Understand customer business requirements and technical challenges. Design and implement customized solutions. Develop and integrate APIs and software components. Deploy applications in customer environments. Troubleshoot and resolve technical issues. Collaborate with product and engineering teams to improve the product. Train customers and provide technical guidance during implementation.
Role: AI Engineer (With Strong Java and Springboot, AI) – 2 open roles Location: Phoenix, AZ (Onsite) Fulltime or C2H - $70hr on C2C Indent: SF_OP_173619-4-4
Required Skills
Strong programming skills (Camunda, Java, Java Springboot, Vertex.AI, n8n). Knowledge of REST APIs and system integration. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with databases and DevOps tools like Docker and Kubernetes. Problem-solving and debugging skills. Excellent communication and stakeholder management. Ability to work independently in customer-facing environments.
Key Responsibilities
Understand customer business requirements and technical challenges. Design and implement customized solutions. Develop and integrate APIs and software components. Deploy applications in customer environments. Troubleshoot and resolve technical issues. Collaborate with product and engineering teams to improve the product. Train customers and provide technical guidance during implementation.