AI Engineer
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Role details
Tech stack
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Job description
Join an innovative, fast-paced team as a Senior AI Engineer, driving hands-on development of AI-enabled applications, integrations, and event-driven solutions for a regulated, enterprise environment. You’ll play a pivotal role in building scalable AI agents, leveraging prompt engineering, and deploying solutions on leading cloud platforms. Collaborate closely with governance, cloud, architecture, and innovation teams to deliver secure, high-impact projects.
Responsibilities
- Design, develop, and deploy end-to-end AI-enabled applications, APIs, and automation solutions.
- Build and maintain agent workflows and implement prompt patterns for varied use cases.
- Create prototypes and reusable components for scalable, enterprise-grade solutions.
- Architect secure backend services, cloud APIs, and seamless integrations.
- Develop event-driven flows using Pub/Sub and implement CI/CD pipelines for continuous delivery.
- Integrate with enterprise systems while ensuring robust security and compliance.
- Partner with cross-functional teams to deliver innovative, high-quality solutions rapidly.
Requirements
Bachelor’s degree in a technical field.
- 8-12 years’ experience in software engineering.
- Expertise in prompt engineering and AI model integration.
- Proven track record in agentic AI development and testing.
- Proficient in API development and integration.
- Hands-on experience with cloud platforms (GCP, Azure, AWS), especially GCP Cloud Run.
- Skilled in event-driven architecture (Pub/Sub) and CI/CD pipelines.
- Programming proficiency in at least one: Java, Python, JavaScript.
Preferred Skills
- Strong full-stack development background (API, backend, UI).
- Experience building AI-enabled applications in regulated environments.
- Familiarity with GCP Vertex AI, Kubernetes, and cloud DevOps practices.
- Ability to work independently and thrive in fast-paced settings.
- Excellent communication and collaboration skills., * Prompt Engineering & AI Model Integration* Agentic AI development and testing* API Development & Integration* Cloud Engineering (GCP - Cloud Run) Azure AWS* Event-driven architecture (Pub/Sub)* CI/CD pipelines* Experience in Java Python or JavaScript
Benefits & conditions
Opportunity to lead enterprise AI initiatives and work on cutting-edge technologies.
- Collaborative, high-growth environment with direct impact on business innovation.
- Exposure to large-scale, regulated projects and modern cloud platforms.
- Professional development and career advancement opportunities.
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