AI Context Engineer

CACI International Inc is seeking an experienced senior-level developer to define and lead how their team leverages modern AI tools in software development. This role focuses on designing and optimizing an AI-assisted development environment and involves responsibilities such as defining standards, evaluating AI tools, and providing technical leadership.

Responsibilities:

• Design and evolve AI-enabled development workflows, including:
• VS Code-based tooling (e.g., Roo Code, Claude Code, Cursor)
• MCP servers and tool integrations
• Structured, document-first approaches to context generation
• Prototype and evaluate approaches to context construction, summarization, and compression
• Define and enforce standards for:
• Repository structure and organization for AI-assisted development
• Prompt patterns and context construction strategies
• Token usage, context window management, and model parameter tuning
• Evaluate and integrate AI tools:
• Determine which tools, skills are appropriate, secure, and effective
• Extend or build custom MCP tools where needed
• Identify and mitigate failure modes such as hallucination, instruction drift, context confusion, and context stuffing
• Contribute as a core engineer on modernization efforts
• Apply AI-assisted workflows in real production development
• Prototype and validate new approaches to improving development efficiency
• Serve as a technical authority on AI-enabled development practices
• Recommend and validate approaches, gauging accuracy
• Explore advanced techniques (e.g., embeddings, indexing, vector databases) and implement where applicable
• Train other team members on AI tools and workflows
• Develop clear documentation and usage guidelines
• Provide hands-on support, workshops, and 1:1 guidance when needed
• Stay current with advancements in foundational models and AI coding tools
• Continuously refine workflows, tooling, and standards based on real-world usage

Requirements:

• Secret Clearance or the ability to obtain a secret clearance
• 5+ years of professional software engineering experience
• Strong experience with modern development practices
• Experience working within AWS environments, preferably Amazon Bedrock. Bonus if within the GovCloud
• Knowledge of DevSecOps, agile development and the context engineering lifecycle
• Demonstrated ability to apply AI tools to real software development workflows and improve developer productivity through practical AI usage
• Strong understanding of: Token usage management and context window limitations, Prompt design and structured AI interactions, Tradeoffs in model behavior and outputs
• Strong communication skills
• Experience with AI coding tools such as: Claude Code, Claude CoWork, Cursor, Roo Code, or similar
• Experience designing AI-assisted development environments or workflows
• Familiarity with: LiteLLM or similar proxy layers, MCP server patterns or tool-based AI systems, Embeddings, indexing, or vector databases, Context Architecture & Design, Project structure best practices for AI Projects (Skills, MD files, Agents, etc.)