Senior Backend Engineer-Compliance Engine (Remote, Equity)

Deliverance AI; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Seed-stage equity

Competitive cash compensation

Job summary

Deliverance AI seeks a senior backend engineer to build a policy engine that enforces regulatory rules at inference time and integrates human-in-the-loop checkpoints. You will turn EU AI Act provisions into executable controls and produce immutable, auditable records of model calls and decisions.

Collaborating with governance, risk, and compliance teams, you will maintain a living library of controls as regulations evolve, ensuring reliability and traceability across AI systems.

Qualifications

• Strong backend engineering experience with governance focus.
• Ability to read legal or regulatory language carefully and express its meaning as precise, testable code.
• High standards for correctness, traceability, and operational rigor.
• Comfort working on systems where reliability and evidence are as important as feature delivery.

Responsibilities

• Develop a policy engine that applies compliance rules and human-review gates while models and agents are running.
• Translate relevant provisions of the EU AI Act, including Articles 5 and 9–15, into executable software controls.
• Model GDPR Article 35 obligations and customer-specific policies in a form that can be evaluated consistently at runtime.
• Produce immutable, auditor-grade records for model calls, agent actions, decisions, and control outcomes.
• Work with governance, risk, and compliance specialists to maintain the control library as regulations evolve.

Skills

Backend engineering

Regulatory language interpretation

Reliability and observability

Auditing evidence mindset

Job description

Deliverance AI seeks a senior backend engineer to build a policy engine that enforces regulatory rules at inference time and integrates human-in-the-loop checkpoints. You will turn EU AI Act provisions into executable controls and produce immutable, auditable records of model calls and decisions.

Collaborating with governance, risk, and compliance teams, you will maintain a living library of controls as regulations evolve, ensuring reliability and traceability across AI systems.