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Selected role

AI Engineer (Remote)

Kforce Inc Armonk, NY

Senior Full-time

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 DevOps 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 DevOps automation, including Terraform; OpenShift; 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/OpenShift)

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.

By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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