Senior AI Engineer

Latitude; Sacramento (CA); Hybrid; USD 200,000 - 350,000; Full time

Job summary

Pragmatike is recruiting a Senior AI Engineer to develop, deploy, and optimize production AI systems for a fast-growing tech company building critical infrastructure.

Role involves working with LLMs, generative AI, and modern ML frameworks to build robust inference and evaluation pipelines, while optimizing performance, latency, and cost in production environments. Collaboration with product and engineering teams is essential.

Qualifications

• 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.

Responsibilities

• Develop 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.

Skills

Python

ML engineering

LLMs

Production deployment

System design

Analytical problem-solving

Tools

PyTorch

Transformers

Kubernetes

Job description

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 Senior AI Engineer to develop, deploy, and optimize production AI systems.

What You'll Do

• Develop 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.

What We're Looking For

• 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.

Nice to Have

• PyTorch, Transformers, vLLM, TGI, or Triton.


• Kubernetes and cloud infrastructure.


• GPU optimization.


• RAG, fine-tuning, or evaluation systems.


• Startup or scale-up experience.

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.

Compensation Range: $200K - $400K