Requirements

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)
GenAI Mastery: Extensive hands-on experience with modern AI technologies including Large Language Models (LLMs), Diffusion models, Retrieval-Augmented Generation (RAG) pipelines, AI agent frameworks, Multimodal AI, etc.
Cloud & DevOps Expertise: Proficient with core services (EC2, S3, Lambda, IAM, CloudFormation), AI/ML tools (SageMaker, Bedrock), Azure services, containerization, CI/CD, IaC, monitoring, and logging
AI Tinkerer: AI-native who keeps ahead of market trends, experiments with AI regularly, and explores new AI possibilities
Adobe Fluency: Deep understanding of Adobe Creative Cloud APIs/SDK/CEP, Firefly Services APIs
Customer-Centricity: Prioritizing customer needs and expectations first in all tasks
Strong Communicator: Ability to translate complex AI concepts for different audiences
Startup DNA: Thrives in fast-paced, innovative environments
Up to 30% customer-related travel

What You'll Be Doing

Collaborate & Innovate with Technical Architects, Engagement Managers, and Product teams
Prototype Rapidly with an AI-first mindset
Design, build, and deploy full-stack applications and microservices
Capture field-proven use cases for product and engineering teams
Develop reusable components, CI/CD pipelines, and governance checks
Thrive in a constantly evolving, start-up-like environment
Document playbooks, prompts, and patterns in the internal knowledge base