2 дня назад
Senior AI Engineer (GenAI)
220 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (GenAI): Building and delivering production GenAI applications and data pipelines that improve client experiences and generate business value with an accent on reliability, monitoring, observability, and cloud-native operations. Focus on operationalizing LLM-powered systems, implementing alerting and incident response, solving distributed-systems challenges, and driving rapid iteration from concept to production.
Location: On-site at the San Francisco, California office, United States
Salary: USD 220,000–280,000 per year, plus bonus or incentive opportunities.
Company
is a financial services company with an AI Strategy & Transformation team that develops enterprise AI platforms and next-generation generative AI initiatives.
What you will do
- Design, build, and deliver GenAI applications that improve client experiences and create measurable business impact.
- Develop and operate AI systems and data pipelines with strong reliability, monitoring, observability, and operational practices.
- Implement monitoring, alerting, and incident response frameworks to maintain system health, performance, and uptime.
- Collaborate with architects, engineers, business leaders, and other cross-functional specialists to align solutions with enterprise strategy.
- Lead rapid iterations from concept through production while solving complex technical challenges.
- Mentor junior engineers and advance engineering standards, testing, quality, and operational excellence.
Requirements
- 8+ years of software development experience, including 4+ years as a hands-on senior engineer.
- Bachelor’s degree in Computer Science or a related field.
- 5+ years building products from scratch, operating them in production, and ensuring operational reliability.
- 3+ years building AI-model-based applications with measurable business impact.
- 3+ years developing applications and data pipelines that interface with large datasets.
- 3+ years working with containers, cloud-native applications, public cloud environments, and infrastructure as code.
Nice to have
- Experience with proprietary or open-source LLMs such as Gemini, Claude, or OpenAI, including production deployment.
- Experience evaluating the quality and consistency of LLM-generated output.
- Experience with Python and front-end development.
- Strong computer science fundamentals, distributed-systems problem solving, and communication skills.
- Mentoring experience and a master’s or advanced degree in Computer Science or a related field.
Culture & Benefits
- Collaborative environment focused on innovation, continuous learning, and high engineering standards.
- 401(k) with company match and an employee stock purchase plan.
- Paid vacation, volunteering time, parental leave, and family-building benefits.
- Twenty-eight-day sabbatical after every five years of service for eligible positions.
- Tuition reimbursement plus medical, dental, and vision insurance.
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