Engineer AI/ML

Must Have Technical/Functional Skills

• Strong hands-on experience in Python programming, API development, and cloud-native application development (4 Years Minimum)
• Experience building prototypes, solution accelerators, and enterprise integrations using cloud technologies
• Two years’ experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs, or similar AI platforms
• Experience in Prompt Engineering, LLM application development, and AI solution implementation
• Experience developing Agentic AI workflows, AI agents, and orchestration frameworks
• Experience with REST APIs, microservices, and third-party system integrations
• Experience working with containerization, CI/CD, and production deployment practices
• Strong stakeholder communication and customer-facing solutioning skills

Roles & Responsibilities

• Design and develop AI-powered prototypes, accelerators, and customer-facing solutions
• Build and integrate applications using Gemini APIs, Vertex AI, and Google Cloud services
• Develop agentic workflows, AI assistants, and multimodal solution demonstrations
• Collaborate with customers, partners, and cross-functional teams to validate business use cases
• Translate business requirements into scalable technical architectures and solutions
• Build Proof of Concepts (PoCs) and demonstrate business value through rapid prototyping
• Support deployment, optimization, and troubleshooting of AI solutions in cloud environments
• Stay current with emerging AI technologies and apply them to customer scenarios

Pay

$120,000–$140,000 a year