1 день назад
Senior AI Engineer
170 000 - 340 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (AI/ML): Design, build, and ship production AI/ML systems and features with an accent on end-to-end ownership, LLM integration, and scalable deployment. Focus on selecting and evaluating models, building observable MLOps pipelines, managing latency and cost trade-offs, and mentoring engineers on ML quality and testing.
Location: United States · Remote
Compensation: $170,000–$340,000 annually
Company
is a specialist executive search firm focused on recruiting leaders who help organizations navigate AI transformation.
What you will do
- Design, build, and ship AI/ML systems and features in production, owning quality and performance across the full lifecycle.
- Select and evaluate ML frameworks, model architectures, and deployment strategies based on business requirements and technical constraints.
- Partner with data scientists and product teams to turn research and prototypes into reliable, scalable systems.
- Implement monitoring, logging, and observability to track model performance, detect drift, and respond to production issues.
- Integrate LLMs, embeddings, and other AI/ML components into application workflows while managing latency and cost trade-offs.
- Lead code reviews, mentor junior engineers, and collaborate with infrastructure and platform teams to optimize compute resources and ensure reproducible, auditable AI pipelines.
Requirements
- 5+ years of professional software engineering experience, including 2–3 years building and deploying ML/AI systems in production.
- Strong Python, software architecture, and debugging skills, with hands-on experience using ML frameworks such as PyTorch or TensorFlow and MLOps tooling.
- Ability to own systems end-to-end, from problem definition and model selection through training, evaluation, and monitoring.
- Production experience with LLMs, retrieval-augmented generation, or fine-tuning.
- Ability to explain technical trade-offs and AI system behavior to product, business, and non-technical audiences.
- Track record of shipping features or systems on schedule and collaborating effectively across teams in fast-moving environments.
Culture & Benefits
- Permanent remote work for candidates based in the United States.
- Opportunity pipeline covering AI transformation roles across Professional Services, Technology, Financial Services, and Healthcare.
- Work involving production AI systems, LLM tooling, scalable infrastructure, and cross-functional collaboration.
Hiring process
- This posting is for future opportunities rather than one specific open role.
- Applications are added to the candidate network for consideration when relevant roles become available.
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