4 дня назад
Lead Applied AI Engineer (AI)
150 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Applied AI Engineer (AI): Building production AI systems for enterprise application understanding, automation, and orchestration with an accent on agents, specification extraction, application intelligence, retrieval, and LLM evaluation. Focus on designing reliable permission-aware agents, modeling semantic dependencies, building evaluation and CI pipelines, and optimizing distributed systems for enterprise scale.
Location: McLean, Virginia, United States; this position requires working in the office 5 days a week.
Base salary: $150,000–$300,000 USD per year, plus a discretionary performance bonus.
Company
provides AI-powered process automation for complex, mission-critical work in large enterprises and governments.
What you will do
- Architect, build, and optimize production AI systems for enterprise application understanding and automation.
- Design reliable agents and orchestration covering planning, tool use, memory, state, and permission-aware boundaries.
- Extract requirements and executable specifications from source code, metadata, tests, and runtime behavior.
- Build semantic and dependency models plus retrieval systems that provide accurate context across large application estates.
- Develop evaluation and CI pipelines that validate quality and detect regressions.
- Improve reliability, latency, efficiency, and scale while mentoring junior engineers and contributing to technical documentation.
Requirements
- Bachelor of Science in Computer Science or a related technical or analytical discipline.
- 7+ years of relevant software development experience with a bachelor’s degree, or 5+ years with a master’s degree in Computer Science or a related field.
- Strong background in distributed systems, including retries, idempotency, partial failure, long-running tasks, and recovery.
- Strong software engineering, data pipeline, and observability skills, with experience owning production services end to end.
- Experience using AI coding assistants and evaluating, coaching others on, and selectively applying AI-generated code in production.
- Ability to communicate complex technical architectures verbally, visually, and in writing to diverse engineering audiences.
Nice to have
- Expertise in code search, repository intelligence, or developer tools.
- Experience with legacy codebases and workflow modernization.
- Experience with enterprise platforms such as Salesforce or ServiceNow.
Culture & Benefits
- In-person collaboration within a fast-paced engineering environment focused on technical precision and high code quality.
- Training, mentorship, continuous learning, and access to University and specialized development resources.
- Flexible time off, paid parental leave, medical, dental, vision, life, and disability insurance.
- 401(k) plan with company match, flexible spending accounts, health savings account contributions, wellness programs, and tuition reimbursement.
- Employee Stock Purchase Program, possible equity awards, employee referral bonuses, and employee-led affinity groups.
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