4 дня назад
Lead Applied AI Engineer
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 reasoning, including agents, orchestration, specification extraction, application intelligence, retrieval, and LLM evaluation, with an accent on distributed systems, reliability, and enterprise-scale performance. Focus on designing permission-aware agents, modeling application dependencies, building evaluation and CI pipelines, and engineering resilient systems with strong observability.
Location: Remote (US)
Base salary: $150,000–$300,000 USD per year, plus potential discretionary bonus.
Company
provides AI-powered automation for complex, mission-critical processes in large enterprises and governments.
What you will do
- Architect, build, and optimize production AI systems while maintaining hands-on technical ownership.
- Design reliable, permission-aware agents and orchestration covering planning, tool use, memory, state, and recovery.
- Extract requirements and executable specifications from source code, metadata, tests, and runtime behavior, mapping them to ’s object model.
- Build semantic and dependency models, retrieval systems, evaluation pipelines, and CI quality gates for large application estates.
- Engineer reliability, latency, observability, and efficiency for enterprise-scale systems.
- Mentor junior engineers, influence technical practices, and contribute to permanent engineering 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 a related field.
- Strong distributed-systems experience, including retries, idempotency, partial failures, 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, and selectively applying AI-generated code in production.
- Exceptional ability to communicate complex technical architectures verbally, visually, and in writing.
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
- Collaborative, fast-paced engineering environment focused on technical precision, continuous learning, and high code quality.
- 401(k) plan with company match, flexible time off, paid parental leave, and medical, dental, and vision coverage.
- Life and disability insurance, wellness programs, flexible spending accounts, and health savings account contributions.
- Training, mentorship, University courses, leadership programs, skills-based development, and tuition reimbursement.
- Employee-led affinity groups and an inclusive community focused on professional and social connection.
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