About the RoleReveal 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. ResponsibilitiesDesign 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 productionExperience building multi-step agentic AI systemsExperience in MLOps, automating the process of training and deploying models and supportive architectureMust have experience with containerization approaches such as Docker and KubernetesDeveloped CI/CD pipelines for testing and automationExperience in developing or utilizing third party solutions to evaluate and quantify model performanceProficiency in PythonExperience with: LLM orchestration, RAG architectures, Function/tool calling, State management across AI workflows, Vector DatabasesAbility to reason about constraints, optimization, and dependenciesComfort operating in ambiguous, fast-moving product environmentsStrongly PreferredExperience with planning, scheduling, or optimization systemsExperience with policy-driven or regulated environmentsFamiliarity with trust modeling, human-in-the-loop systems, or safety railsPrior work on systems where AI actions had real-world consequencesWillingness to engage deeply with users and iterate based on behavior, not theoryCompensationSalary ($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 coverageHSA/FSA optionsParental Leave401(k): 100% match for the first 6% contributedUnlimited Paid Time OffHome Office StipendAbout Reveal TechnologyFounded 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.