Pragmatike Logo

Pragmatike

Staff AI Engineer

Posted 2 Months Ago
In-Office or Remote
Hiring Remotely in Seattle, WA, USA
200K-350K Annually
Senior level
In-Office or Remote
Hiring Remotely in Seattle, WA, USA
200K-350K Annually
Senior level
Lead design and deployment of production AI systems: architect model serving, inference, evaluation, and optimization pipelines; improve latency, throughput, quality, and cost; lead cross-team AI initiatives; set engineering standards; mentor engineers; partner on AI strategy and evaluate emerging models and infrastructure.
The summary above was generated by AI

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.

Similar Jobs

4 Days Ago
Remote
United States
150K-190K Annually
Expert/Leader
150K-190K Annually
Expert/Leader
Software
Designs and deploys AI-powered features and scalable AI/ML services across SaaS products. Responsibilities include translating business problems into AI solutions, integrating large language models, preparing data, evaluating model performance, writing Python, building secure deployment infrastructure, and collaborating with product, data, and cloud operations teams. The role requires production AI/ML experience, scalable data infrastructure expertise, AWS familiarity, and modern DevOps practices.
Top Skills: Ai/Ml Evaluation ToolingAWSDevOpsLarge Language Models (Llms)Llm FrameworksPythonSaaS
7 Days Ago
Remote
USA
185K-230K Annually
Senior level
185K-230K Annually
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead technical sales for Deepgram’s Voice Agent platform, owning discovery, architecture, proofs of concept, technical evaluations, and customer production launches. Partner with account executives on enterprise deals, carry a growth quota, build demos and integrations, develop sales enablement, provide product feedback, and collaborate with telephony, contact center, and LLM partners. The role requires deep voice-agent expertise across telephony, orchestration, streaming pipelines, and speech and language models.
Top Skills: Amazon ConnectCcaasDeepgramFive9GenesysLivekitLlmsMcpNiceNode.jsOpenai RealtimePbxPipecatPythonRetellSipSttTalkdeskTtsVapiVoice AiWebrtc
7 Days Ago
Remote
United States
192K-240K Annually
Senior level
192K-240K Annually
Senior level
Healthtech • Social Impact • Software • Telehealth
Build and deploy AI-powered tools for Rula’s business and clinical teams by observing workflows, rapidly delivering production software, measuring usage and impact, and enabling teams to operate tools independently. The role requires privacy-by-design practices, rigorous AI evaluation, customer-centric discovery, and integration with complex legacy systems. Staff engineers may optimize LLM costs and quality while creating reusable building blocks for future teams.
Top Skills: Artificial IntelligenceBilling SystemsCoding AgentsCrm SystemsLarge Language ModelsScheduling Systems

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account