Software Development Engineer, Influencer Management

Adobe Systems
San Jose, CA, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Software Debugging Machine Learning Node.Js Software Engineering Systems Integration TypeScript ReactJS Large Language Models
+8 more
Backend Adobe AI Platforms Front End Software Development Virtual Agents Restful APIs Data Pipelines Api Management

Job description

Experteer Overview In this role you will build and launch a next-generation agentic AI platform inside Adobe’s incubator, collaborating with product, design, and engineering to bring a new product to life. You’ll own full-stack capabilities for an enterprise influencer-marketing platform, balancing rapid development with enterprise-grade reliability and security. You will explore AI-powered features and integrate LLM-powered services to streamline workflows from discovery to analytics. This is a startup-like opportunity within a large tech company, focused on impactful products and scalable systems. Compensation / Benefits * Build and scale full-stack product capabilities for an enterprise influencer-project platform * Develop backend services for discovery, planning, collaboration, contract management, performance tracking and analytics * Implement AI-powered features for creator matching, campaign optimization, content insights, and workflow automation * Integrate LLMs and agentic AI systems to support task orchestration, recommendations, and automated campaign assistance * Build scalable data pipelines and API integrations with social networks, analytics tools, and marketing systems * Create intuitive, performant front-end experiences for campaign management, collaboration, and performance analysis * Ensure reliability, performance, security, and scalability to meet enterprise requirements * Contribute to observability, monitoring, and evaluation frameworks for AI-driven features Tasks * 8+ years of professional experience developing full-stack web applications * Proficiency in JavaScript/TypeScript, React, and Node.js * Proficiency in Agentic AI development * Experience designing and building scalable APIs, backend services, and modern web architectures * Experience integrating AI services, LLM APIs, or machine learning into production apps * Familiarity with data modeling and integrating with external platforms or third-party services * Strong problem-solving and debugging across frontend, backend, and system integrations * Excellent communication and collaboration skills; thrives in fast-paced, multi-functional environments * Familiarity with AWS, Azure, or GCP and modern deployment practices Key requirements * comprehensive benefits programs

Requirements

AI systems to support task orchestration, recommendations, and automated campaign assistance * Build scalable data pipelines and API integrations with social networks, analytics tools, and marketing systems * Create intuitive, performant front-end experiences for campaign management, collaboration, and performance analysis * Ensure reliability, performance, security, and scalability to meet enterprise requirements * Contribute to observability, monitoring, and evaluation frameworks for AI-driven features Tasks * 8+ years of professional experience developing full-stack web applications * Proficiency in JavaScript/TypeScript, React, and Node.js * Proficiency in Agentic AI development * Experience designing and building scalable APIs, backend services, and modern web architectures * Experience integrating AI services, LLM APIs, or machine learning into production apps * Familiarity with data modeling and integrating with external platforms or third-party services * Strong problem-solving a

  • debugging across frontend, backend, and system integrations * Excellent communication and collaboration skills; thrives in fast-paced, multi-functional environments * Familiarity with AWS, Azure, or GCP and modern deployment practices Key requirements * comprehensive benefits programs

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