Context Engineer
Builds AI agents, context pipelines, developer documentation, and educational technical content for PostHog’s Wizard & Docs team. The role combines production software development, AI engineering, systems thinking, and strong developer communication skills.
About the job
Responsibilities
- Make technologies explainable and legible to humans and AI agents.
- Maintain and design knowledge bases.
- Engineer and orchestrate context pipelines.
- Build and ship agents powered by these systems.
- Work on the AI Wizard, an AI onboarding agent.
- Build custom agents, harnesses, skills, context pipelines, and MCPs for production.
- Maintain developer documentation and knowledge bases using docs-as-code and AI engineering techniques.
- Create technical content through documentation, example applications, and video explainers.
- Create publishing workflows, such as changelog streams.
- Collaborate with other teams so they can build on these systems.
Requirements
- Software development experience, including writing production code.
- Proficiency with LLMs, coding agents, MCPs, and current AI engineering tools.
- A portfolio of technical content, such as a personal website, GitHub profile, YouTube channel, or similar.
- Excellent writing and communication skills.
- Experience creating educational content for developers.
- An opinionated perspective on creating effective documentation for humans and AI.
- Ability to teach and communicate complex technology clearly.
- Full-stack software development experience through professional work, side projects, or open source.
- Ability to work across writing, software development, information architecture, diagrams, agents, and CI/CD pipelines.
- Systems thinking across documentation, skills, agent execution, and product changes.
- Bias toward action and comfort iterating quickly in an autonomous, fast-moving environment.
Nice-to-haves
- Experience as a technical writer who ships code and builds features.
- Developer advocacy experience combined with substantial software development.
- Software engineering experience with an interest in technical content and education.
- Solutions or growth engineering experience creating educational content.
- Instructional or content design experience with strong technical skills.
Skills
LLMs, Coding Agents, Mcps, Ai Engineering, Full-Stack Development, Technical Writing, Developer Documentation, Knowledge Bases, Context Pipelines, RAG, CI/CD, GitHub
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