About The Role Reveal is building an AI-native system that replaces manual staff work with intelligent, explainable automation. The end state is not “AI assistance,” but earned delegation, software that progressively assumes responsibility as users demonstrate competence and trust.

This role exists to design and build the agentic intelligence layer that makes that progression possible.

You will create AI systems that start as advisors, mature into copilots, and ultimately become trusted operators, all while remaining transparent, bounded, auditable, and aligned to doctrine and policy.

Responsibilities

• Design and implement production-grade LLM and agentic systems that ingest operational, doctrinal, and policy data and transform it into structured tasks, workflows, and resource-aware plans
• Build orchestration layers across workflows, tools, and human approvals to support a recommendation-first AI copilot with progressive, user-authorized agentic actions
• Implement RAG pipelines over doctrine, regulations, and historical data to enable constraint-aware reasoning, sequencing logic, and transparent, explainable recommendations
• Design trust, permissioning, and rollback mechanisms that adapt system autonomy based on user behavior, experience, and operational risk
• Instrument systems for auditability, traceability, and user trust, ensuring all outputs can be explained and linked back to source inputs
• Optimize AI systems for latency, cost, reliability, and explainability in real-world operational environments
• Collaborate closely with product, UX, engineering, and domain experts to translate complex operational workflows into scalable, human-centered AI systems

Requirements

• Strong hands-on experience with developing and deploying LLM-based systems in production
• Experience building multi-step agentic AI systems
• Experience in MLOps, automating the process of training and deploying models and supportive architecture
• Must have experience with containerization approaches such as Docker and Kubernetes
• Developed CI/CD pipelines for testing and automation

Strongly Preferred

• Experience with planning, scheduling, or optimization systems
• Experience with policy-driven or regulated environments
• Familiarity with trust modeling, human-in-the-loop systems, or safety rails
• Prior work on systems where AI actions had real-world consequences
• Willingness to engage deeply with users and iterate based on behavior, not theory

Compensation

• Salary ($150,000 - $200,000) + Equity
• Salary is determined by the applicant's experience, knowledge, skills, abilities, internal equity, and alignment with market data

Benefits

• Medical, Dental, Vision coverage
• HSA/FSA options
• Parental Leave
• 401(k): 100% match for the first 6% contributed
• Unlimited Paid Time Off
• Home Office Stipend

About Reveal Technology Founded in 2019, Reveal is a dynamic startup revolutionizing field operations by providing software tools and insights to individuals in remote, disconnected, and extreme environments. Our products include Farsight, a 3D processing and mission planning tool, and Identifi, which enables secure and rapid identity verification. Reveal is deeply committed to supporting defense, security, and safety missions. Having recently closed a $30M Series B funding round, we're growing our team to meet expanding demands and opportunities.

This position will be open on or our website until it is successfully filled. To submit your application, please click the “Apply” button and follow the steps as directed. Proof of identity and eligibility to work in the United States is required for all hires. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Note: This job posting is intended for direct applicants only. We do not accept any unsolicited applications and request no outside recruiters contact us regarding this role.