AI Engineer; Remote

Position: AI Engineer (Remote)
Location: Armonk

RESPONSIBILITIES:
Kforce has a client that is seeking an AI Engineer (Remote) in Armonk, NY.

Summary:

We are seeking an experienced remote AI Engineer to design, optimize, and deploy high-performance AI/ML workloads in production environments. This role requires deep hands-on expertise in Python, strong understanding of model-to-hardware interactions (especially GPUs), and the ability to evaluate, debug, and optimize AI code for performance and correctness. The ideal candidate brings a blend of AI engineering, systems-level thinking, and either Dev Ops automation or data science experience, with a strong focus on inference performance, scalability, and efficiency.

Key Responsibilities:

* Design, implement, and optimize AI/ML solutions with a strong emphasis on inference performance and scalability

* Review and analyze AI/ML code to:
Validate correctness;
Identify performance bottlenecks;
Recommend and implement optimizations

* Optimize model execution with a strong understanding of: GPU architecture and utilization;
Memory management;
Scheduling and parallelism

* Work closely with infrastructure and platform teams to ensure AI workloads are efficiently deployed and operated in production

* Implement and maintain automation for AI infrastructure and deployment pipelines where applicable

* Contribute to best practices for AI engineering, performance tuning, and operational excellence

What Success Looks Like in This Role:

* You can look at AI/ML code and quickly determine whether it's correct, efficient, and production-ready

* You understand how model architecture choices impact GPU utilization and inference latency

* You proactively identify performance improvements and implement them with measurable impact

* You collaborate effectively across AI, platform, and infrastructure teams

* You help set the technical standard for AI engineering excellence

REQUIREMENTS:

* 5-10 years of experience as an AI Engineer, ML Engineer, or similar role

* Experience with AI inference optimization

* Hands-on experience with Linux-based environments

* Expert-level Python skills (required)

* Strong understanding of the relationship between AI models and GPU hardware, including: GPU compute vs. memory constraints;
Performance trade-offs

* Proven ability to analyze and optimize AI/ML code, including:
Reviewing existing code and determining whether it is correct and performant;
Making targeted optimizations for efficiency

* Strong problem-solving skills and ability to work independently on complex technical challenges

Preferred/Nice-to-Have skills:

* Experience with vLLM (especially as an inference engine in Red Hat AI environments)

* Experience optimizing code using queue-based (Q) or scheduler-driven approaches

* Experience deploying or supporting AI models at scale in enterprise environments

* Background in Dev Ops automation, including Terraform;
Open Shift;
Or experience in data science, particularly where it intersects with production AI systems

* Knowledge of GPU scheduling, queuing, or related optimization techniques

* Familiarity with containerized AI workloads (Docker, Kubernetes/Open Shift)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note:

Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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