AI Engineer

Job Title: AI Engineer

Location:

· Experience: 6+

· Mode of Work :

· Job Type :

· Notice Period:

· Project Tenure:

JD:

Collaborate & Innovate: Partner with Technical Architects, Engagement Managers and Product teams to define customer requirements/use cases, facilitate technical workshops, and co-create specific GenAI solutions.

· Prototype Rapidly: Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and drive quick wins. UX/UI and rapid prototyping skills are a plus.

· Engineer End-to-End: Design, build, and deploy full-stack applications and microservices—integrating Firefly APIs, Common Extensibility Platform, GenStudio for Performance Marketing, headless CMS architectures and UX/UI Designs.

· Bridge to Product: Capture field-proven use cases and funnel them back to Product & Engineering—fueling the Firefly roadmap.

· Automate & Scale: Develop reusable components, CI/CD pipelines, and governance checks to ensure consistent, repeatable delivery.

· Operate at Speed: Thrive in a constantly evolving, start-up-like environment—own delivery sprints, tackle challenges on-site/remotely, and adapt to evolving AI trends.

· Share & Elevate: Document your playbooks, prompts, and patterns in our internal knowledge base—helping the whole organization move faster.

Core Skills:

· Full-Stack Expertise: 3+ years as a full-stack developer or technical consultant building and launching production software (React.js/Next.js/Angular; Node.js/Java Spring Boot; REST/GraphQL, HTML, JavaScript, Java, XML).

· AI Tinkerer: AI-native tinkerer who embeds AI in your day-to-day workflows and spends your free time inventing and tinkering with the possibilities of AI. You keep ahead of market trends across third-party models, GPUs, and new AI applications.

· Adobe Fluency: Deep understanding of Adobe Creative Cloud APIs/SDK/CEP, Firefly Services APIs, and Adobe Experience Cloud integrations (AEM, Workfront Fusion, AJO or equivalent experience).

· Cloud & DevOps Savvy: AWS/Azure/GCP, containerization (Docker/Kubernetes), and CI/CD tooling (GitLab, Jenkins, etc.).

· Strong communicator: You translate complex AI concepts for both engineers and executives and guide customers through technical decisions aligned to business objectives.

· Customer-Centricity: Always prioritizing the customer and their needs and expectations first in everything you do. You are outstanding at contributing to a culture of customer-centricity among your team and your extended ecosystem.

· Startup DNA: Thrives in fast-paced, ambiguous environments—relentlessly seeking better, faster, more innovative ways to solve customer objectives and challenges