Staff AI Engineer/Scientist (Explainable AI)

Location: Hybrid; must reside near Austin, TX or Reston, VA and work three days per week in the office. U.S. work authorization or eligibility to obtain required government authorizations is required.

Company

hirify.global develops secure, explainable, and auditable AI platforms for mission-critical decisions across enterprise, government, and regulated industries.

What you will do

• Design and build explainability capabilities that show why models and agents produce outputs and identify the data, documents, tools, interactions, or mechanisms that influenced them.
• Develop contestability workflows for challenging AI outputs, capturing corrective feedback, and improving systems over time.
• Work on hallucination detection and mitigation and continual-learning agents.
• Translate current research into prototypes and production-grade features across model development, inference, deployment, and monitoring.
• Partner with product, design, and customer-facing teams to make explainability useful in real workflows.
• Use AI coding assistants within a modern engineering workflow while maintaining code quality and sound technical judgment.

Requirements

• 8+ years of experience in AI engineering, AI research, or equivalent relevant experience.
• Strong background in machine learning and modern AI systems, including LLMs, VLMs, agent frameworks, RAG, or adjacent applied ML systems.
• Ability to work effectively across research and engineering, including prototyping and production-grade implementation.
• Strong Python and software engineering fundamentals, including testing, code review, CI/CD, debugging, and performance analysis.
• Experience designing experiments, evaluating ambiguous technical tradeoffs, and communicating with technical and non-technical partners.
• Must reside near Austin, TX or Reston, VA and work three days per week in the office; U.S. work authorization or eligible government authorization is required.

Nice to have

• Master’s or PhD in computer science, machine learning, AI, statistics, or a related field.
• Experience with explainable and interpretable AI, including LIME, SHAP, example-based attribution, influence-based attribution, or mechanistic interpretability.
• Experience with inference and serving stacks such as vLLM or SGLang, model-serving optimization, and GPU or accelerator environments.
• Experience building APIs, SDKs, Kubernetes-based deployments, GitOps workflows, database and retrieval systems, and RAG architectures.
• Track record of publications, patents, open-source contributions, or research that influenced shipped systems.

Culture & Benefits

• Mission focused on secure, transparent, and trustworthy AI for high-stakes systems.
• Flexible hybrid work environment with offices in Reston and Austin.
• RSU equity ownership and role-appropriate total rewards, including potential bonuses or commission plans.
• Unlimited PTO, 14 paid company holidays, and paid parental leave.
• 401(k) with company match and medical, dental, vision, and life insurance from day one.