AI Context Engineer

Adobe • Lehi, UT

12h

About The Position

Join our Digital Employee Experience team as a Context Engineer and help define an emerging discipline at the intersection of language, system design, and enterprise operations. You'll work alongside diverse functional roles, applying hands-on expertise with large language models (LLMs) to improve the human experience at work. You'll own the design and implementation of pipelines that assemble the right mix of inputs—instructions, frameworks, standards, tools, and memory—ensuring models respond accurately and safely at scale, with direct impact on employee productivity and experience.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 2–4 years of professional experience building systems or applications that leverage LLMs or NLP in a production environment.
• Proficiency in Python and hands-on experience with frameworks such as LangChain, Hugging Face, PyTorch, or TensorFlow.
• Solid understanding of tokenization, prompt formatting, context window constraints, and retrieval-augmented generation (RAG) patterns.
• Experience working with APIs, data structures, and JSON in real-world integrations.
• Strong problem-solving skills with a track record of diagnosing and resolving ambiguous technical challenges independently.
• Clear communicator—able to align stakeholders and translate complex concepts for non-technical audiences.
• Collaborative by default, with a drive to share knowledge and raise the quality of work around you.

Responsibilities

• Partner cross-functionally to identify and structure the enterprise knowledge LLMs need to enhance productivity across business functions.
• Build and maintain context templates combining few-shot examples, chain-of-thought scaffolding, and structured formatting.
• Design, implement, and iterate on context pipelines that assemble and deliver information to LLMs reliably in production.
• Develop memory mechanisms to manage conversational state across sessions, including summarization, pruning, and context compression strategies.
• Own optimization of cost, latency, and reliability—balancing token limits, response time, and accuracy for production workloads.
• Establish and document best practices for context engineering, contributing to standards adopted across the enterprise.
• Contribute to code reviews, technical discussions, and the growth of the broader team.

Benefits

• At Adobe, you will be immersed in an exceptional work environment that is recognized around the world.
• You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
• Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees