Staff AI Engineer
At a glance
Senior AI Engineering role at Pragmatike. Remote, United States · full-time · $200,000–$400,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Set the architecture for AI systems running in production, including how models are served, evaluated and optimized
- Build inference pipelines, then tune them to improve speed, capacity, output quality and operating cost
- Guide AI projects across teams, set development and release standards, and coach AI engineers
- Work with product and engineering leaders on AI direction and assess new models and infrastructure
What you bring
- At least seven years in engineering or machine learning
- Deep Python and machine learning engineering skills, plus substantial experience with production LLMs
- Strong grounding in distributed systems and system design, with experience improving inference performance
- Clear technical leadership and communication skills
Who this fits
This senior staff role suits an experienced engineer who can lead technical work across teams while staying close to production AI systems. It is remote within the United States, requires fluent English, and is full-time.
From the employer
Location: United States — Remote
Compensation: $200,000–$350,000 USD
Start Date: ASAP
Languages: Fluent English required
Type: Full-time
About the Opportunity
Pragmatike is recruiting on behalf of a fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms.
We are seeking a Staff AI Engineer to lead the design and deployment of production AI systems at scale.
What You'll Do
Lead architecture for production AI systems.
Design model serving, inference, evaluation, and optimization pipelines.
Improve model latency, throughput, quality, and cost.
Lead technical AI initiatives across multiple teams.
Establish engineering standards for AI development and deployment.
Mentor AI engineers.
Partner with Product and Engineering leadership on AI strategy.
Evaluate emerging models and infrastructure technologies.
What We're Looking For
7+ years of engineering or ML experience.
Deep Python and ML engineering expertise.
Strong production LLM experience.
Strong distributed systems and system design skills.
Experience optimizing inference systems.
Strong technical leadership and communication.
Nice to Have
vLLM, TGI, Triton, CUDA, PyTorch.
Kubernetes and GPU infrastructure.
RAG and fine-tuning.
AI agents.
High-scale AI production environments.
Why Join?
Our client is building highly scalable technology that sits at the core of critical business operations, offering engineers the opportunity to work on complex systems, large-scale integrations, and real-world technical challenges.
You'll join a collaborative, fast-moving environment where ownership is encouraged, decisions are made quickly, and engineers have meaningful influence on architecture, product direction, and engineering culture.
This role offers the opportunity to tackle challenging backend problems, work with modern technologies, and grow alongside an ambitious team building for scale.
Full benefit package and competitive compensation.
Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.