AI Engineer - Agentic Systems & Llms - Remote Eligible

AI Agentic Intelligence Engineer

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

Experience in developing or utilizing third party solutions to evaluate and quantify model performance

Proficiency in Python

Experience with: LLM orchestration, RAG architectures, Function/tool calling, State management across AI workflows, Vector Databases

Ability to reason about constraints, optimization, and dependencies

Comfort operating in ambiguous, fast-moving product environments

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

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.