обновлено 13 дней назад
AI Engineer / Scientist (Senior, Staff)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer / Scientist (Senior, Staff) (Explainable AI/LLM Systems): Building production capabilities that explain model and agent outputs, capture contested results, and improve trustworthy AI systems with an accent on interpretability, hallucination mitigation, RAG, and end-to-end deployment. Focus on translating research into production features, optimizing model serving, designing evaluation and retrieval pipelines, and diagnosing complex AI system performance issues.
Location: Must reside near Austin, TX or Reston, VA and work 3 days per week in the office. Applicants must be U.S. citizens, lawful permanent residents, protected individuals, or eligible to obtain required U.S. government authorizations.
Company
builds secure, explainable, and auditable AI platforms for mission-critical decisions across enterprise, government, defense, finance, telecom, and critical infrastructure environments.
What you will do
- Design and build capabilities that explain why models and agents produce outputs, including the influence of training data, retrieved documents, tools, interactions, and internal mechanisms.
- Enable users to challenge AI outputs, capture corrective feedback, and convert contested results into improvement data.
- Develop solutions for hallucination detection and mitigation and continual-learning agents.
- Translate current research into prototypes and production-grade features across model development, inference, deployment, and monitoring.
- Design AI systems, serving stacks, APIs, retrieval platforms, evaluation pipelines, and observability tooling.
- Collaborate with product, design, and customer-facing teams to apply AI in real workflows.
Requirements
- 5–8+ years of experience in AI engineering, AI research, or equivalent relevant experience.
- Strong machine learning and modern AI systems background, including LLMs, VLMs, agent frameworks, RAG, or adjacent applied ML systems.
- Strong Python and software engineering fundamentals, including testing, code review, CI/CD, debugging, and performance analysis.
- Ability to move between research and engineering, design experiments, and evaluate ambiguous technical tradeoffs.
- Fluency with AI coding assistants and modern developer workflows.
- Must reside near Austin, Texas or Reston, Virginia and work 3 days per week in office; U.S. work authorization or eligibility for required government authorizations is required.
Nice to have
- Master’s or PhD in computer science, machine learning, AI, statistics, or a related field.
- Original technical work through publications, patents, open-source contributions, or research influencing shipped systems.
- Experience with vLLM, SGLang, Kubernetes, GitOps, Argo CD, GPU environments, and containerized ML workloads.
- Experience optimizing serving latency, throughput, batching, caching, memory efficiency, quantization, and cost-performance tradeoffs.
- Experience with APIs and SDKs, vector databases, RAG architectures, experiment tracking, model and data versioning, and evaluation pipelines.
Culture & Benefits
- Flexible hybrid work environment with offices in Reston, Virginia and Austin, Texas.
- Mission-driven work focused on secure, transparent, and trustworthy AI for high-stakes environments.
- Unlimited paid time off and 14 paid company holidays.
- RSU equity ownership and role-appropriate compensation with potential bonuses or commission plans.
- 401(k) with company match and medical, dental, vision, and life insurance from day one.
- Paid parental leave for birth, adoption, or foster placement.
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