Location: United States — Remote
Compensation: $200,000–$350,000 USD
Start Date: ASAP
Languages: Fluent English required
Type: Full-time
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 Senior AI Engineer to develop, deploy, and optimize production AI systems.
What You'll DoDevelop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Build inference and evaluation pipelines.
Optimize model performance, latency, and cost.
Integrate AI capabilities into production applications.
Develop reliable data and model workflows.
Monitor AI systems in production.
Collaborate with product and engineering teams.
5+ years of software or ML engineering experience.
Strong Python and modern ML frameworks.
Experience deploying AI/ML systems to production.
Strong understanding of LLMs and model inference.
Solid software engineering and system design skills.
Strong analytical and problem-solving abilities.
PyTorch, Transformers, vLLM, TGI, or Triton.
Kubernetes and cloud infrastructure.
GPU optimization.
RAG, fine-tuning, or evaluation systems.
Startup or scale-up experience.
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.
Skills Required
- 5+ years of software or ML engineering experience.
- Fluent English.
- Strong Python skills.
- Experience with modern ML frameworks.
- Experience deploying AI/ML systems to production.
- Strong understanding of LLMs and model inference.
- Solid software engineering and system design skills.
- Strong analytical and problem-solving abilities.
- Experience with PyTorch.
- Experience with Hugging Face Transformers.
- Experience with vLLM, TGI, or Triton.
- Kubernetes and cloud infrastructure experience.
- GPU optimization experience.
- Experience with RAG, fine-tuning, or evaluation systems.
- Startup or scale-up experience.
What We Do
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