Computer Scientist - II

Posted:
2/8/2026, 1:04:51 PM

Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
Hybrid

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!


 

The Opportunity

Join our DevOps for Content revolution as we partner with global brands and agencies to transform their end-to-end creative workflows – from ideation to activation – to deliver AI-powered content services with speed, scale, and governance.

Through an AI-first experimentation approach and deep expertise in both first-party and third-party AI models, we develop new applications, platforms, and scalable patterns that unlock the GenAI-powered Content Supply Chain. We function as a continuous product innovation engine—feeding repeatable customer solutions straight into the product roadmap to accelerate product-led growth.


As part of this team, you will own the end-to-end development and launch of GenAI applications through Adobe and third-party generative models. If you thrive in start-up environments—scaling products from prototype to production, pushing innovative research into real-world use cases, and owning product & business outcomes — you'll fit right in here!


What You'll Do

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.


What You Bring

Core Experience

  • 5+ years of professional experience in software engineering, computer science, or applied research roles.
  • Strong grounding in computer science fundamentals: data structures, algorithms, distributed systems, and system design.

Software Engineering Expertise

  • Proficiency in modern backend and/or full-stack development:
  • Languages & frameworks: Java, Python, JavaScript/TypeScript (Node.js, Java Spring Boot)
  • APIs & protocols: REST, GraphQL
  • Web fundamentals: HTML, JavaScript, XML
  • Experience designing and operating production systems at scale.

Generative AI & ML Systems

Hands-on experience with modern AI technologies, including:

  • Large Language Models (LLMs): OpenAI GPT, Anthropic Claude, Meta Llama, Mistral, or similar
  • Diffusion models: Adobe Firefly, Stable Diffusion, DALL·E, Midjourney
  • Prompt engineering, fine-tuning, and model evaluation
  • AI agent frameworks: LangChain, LlamaIndex, AutoGen
  • Multimodal AI systems spanning text, image, video, and audio

Cloud & DevOps Foundations

  • Experience with cloud platforms and services:
  • AWS (EC2, S3, Lambda, IAM, SageMaker, Bedrock) and/or
  • Azure (VMs, Functions, Blob Storage, Azure OpenAI, Cognitive Services)
  • Containerization & orchestration: Docker, Kubernetes, serverless architectures
  • CI/CD & IaC: GitHub Actions, GitLab CI/CD, Jenkins, Terraform, or equivalent
  • Monitoring & observability: CloudWatch, Azure Monitor, Datadog, or similar

AI-First Attitude

  • An AI-native problem solver who actively experiments with new models, tools, and workflows.
  • Curiosity-driven, with a passion for staying ahead of trends in AI research, infrastructure, and applications.

Adobe Ecosystem (Nice to Have)

  • Familiarity with Adobe Creative Cloud APIs/SDKs, CEP, and Firefly Services APIs.

Collaboration & Communication

  • Clear communicator who can explain complex technical concepts to both technical and non-technical collaborators.
  • Strong collaborator who thrives in multi-functional product and engineering environments.

Startup Mentality, Enterprise Impact

  • Comfortable operating in fast-moving, ambiguous environments.
  • Bias toward action, experimentation, and continuous improvement—without sacrificing engineering rigor.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.

Adobe

Website: https://www.adobe.com/

Headquarter Location: San Jose, California, United States

Employee Count: 10001+

Year Founded: 1982

IPO Status: Public

Last Funding Type: Venture - Series Unknown

Industries: Artificial Intelligence (AI) ⋅ Consulting ⋅ Enterprise Software ⋅ Graphic Design ⋅ Image Recognition ⋅ Photo Editing ⋅ SaaS ⋅ Software ⋅ UX Design ⋅ Web Design