Employment in this role is conditional upon successful execution of the contract by the client.

The Work

The AI Agent Engineer is responsible for designing, developing, deploying, and optimizing intelligent autonomous agents using advanced artificial intelligence technologies. This position works closely with cross-functional teams to translate mission requirements into scalable, secure, and reliable AI agent solutions that address complex operational challenges within government and enterprise environments.

This position aligns with Cayuse’s core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.

• Architect, design, and implement AI-powered agents capable of reasoning, learning, and acting autonomously to achieve defined objectives.
• Develop agent behaviors using techniques such as reinforcement learning, natural language processing (NLP), knowledge representation, planning, and decision-making algorithms.
• Integrate AI agents with existing software systems, data sources, and user interfaces to enable seamless operations across platforms.
• Conduct rigorous testing and evaluation of AI agent performance, robustness, and security in simulated and real-world scenarios.
• Collaborate with data scientists, software engineers, and subject matter experts to curate and preprocess training data, and fine-tune agent models for optimal performance.
• Analyze user and system requirements to customize AI agent workflows for specific government or enterprise use cases.
• Develop tools for monitoring, visualization, and management of AI agent interactions and results.
• Ensure compliance with government security, privacy, and ethical guidelines throughout the AI agent lifecycle.
• Prepare detailed technical documentation, including design specifications, integration guides, and user manuals.
• Stay current with advances in AI agent frameworks, machine learning algorithms, and relevant research to continuously enhance agent capabilities.
• Provide technical expertise and guidance during project planning, system integration, and post-deployment support.
• Other duties as assigned.

Here’s What You Need

• 4 years of experience in AI/ML engineering or advanced data science.
• 4 years of proven track record building and deploying production-grade autonomous agents.
• 4 years of strong experience in context engineering.
• 4 years of deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
• 4 years of experience implementing Retrieval-Augmented Generation (RAG) architectures using vector databases.
• 4 years of proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI).
• 4 years of experience integrating Large Language Models (LLMs) via APIs, with knowledge of AI governance, model lifecycle management, and evaluation.
• 4 years of experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources, as well as experience implementing AI guardrails, content filtering, and safety controls.
• 4 years of understanding data privacy and handling of sensitive data, including PII and PHI.
• Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.

Minimum Skills:

• Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.
• Exceptional verbal and written communication skills. 
• Excellent organizational, analytical, and problem-solving skills with high-level attention to detail.
• Ability to analyze systems and procedures
• Strong multitasking skills with the ability to manage multiple design streams across concurrent work effort.
• Must be self-motivated and able to work well independently as well as on a multi-functional team.
• Ability to handle sensitive and confidential information appropriately.

Desired Qualifications:

• 2 years of experience building multi-agent or autonomous agentic workflows.
• 2 years of experience optimizing LLM cost, token usage, and performance.
• 2 years of familiarity with enterprise AI deployment patterns and scalability considerations.

Our Commitment to you / overview of benefits

• Medical, Dental and Vision Insurance; Wellness Program
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability options
• Basic Life and AD&D Insurance (Company Provided)
• Voluntary Life and AD&D options
• 401(k) Retirement Savings Plan with matching after one year
• Paid Time Off

Reports to: Program Manager

Working Conditions

• Professional office environment, with the ability to work onsite in the main office.
• Must reside in the Austin area.
• Must be physically and mentally able to perform duties extended periods of time.
• Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.
• Must be able to establish a productive and professional workspace.
• Must be able to sit for long periods of time looking at computer screen.

• May be asked to work a flexible schedule which may include holidays.
• May be asked to travel for business or professional development purposes.
• May be asked to work hours outside of normal business hours.
• Travel costs, per diem, and other related expenses must be pre-approved in compliance with State of Texas travel guidelines.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job.  Duties, responsibilities, and activities may change at any time with or without notice.

Cayuse is an Equal Opportunity Employer.  All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.