Role: AI Engineer

Location: Bangalore/ Hybrid

Type of position: Permanent/ Contract

What you'll be doing

- 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 mindsetbuild 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 microservicesintegrating 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 &

- Engineeringfueling 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 environmentown 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.

What You need to Bring





- 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 fastpaced, ambiguous environments—relentlessly seeking better, faster, more creative ways to solve customer objectives and challenges

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