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Remote Low Latency Network Engineer Jobs in Utah

Podium

Staff AI Engineer - USA

Lehi, UT · On-site +1

Staff AI Engineer The Role We are looking for a talented Staff AI Engineer to help build and scale ... deliver accuracy and low latency at scale. * Design and implement APIs, services, and ...

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

... deliver accuracy and low latency at scale. * Design and implement APIs, services, and ... Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features ...

Podium

Senior Mobile Engineer

Lehi, UT · On-site +1

$125K - $156K/yr

Lead the implementation of mobile-specific AI capabilities, focusing on low-latency streaming ... Act as a force multiplier for the engineering org. You'll provide thoughtful, kind code reviews and ...

Egnyte

Senior Solutions Engineer - AEC

Draper, UT · Remote

$125K - $140K/yr

SENIOR SOLUTIONS ENGINEER - AEC US REMOTE; RALEIGH, NC, DRAPER, UT EGNYTE YOUR CAREER. SPARK YOUR ... Broad knowledge of SaaS, infrastructure, network (bandwidth/latency impact on CAD), authentication ...

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

... safety, reliability, latency, and cost efficiency. This role will contribute to multiagent ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Weave

Senior Platform Engineer - Performance

Lehi, UT · On-site +1

This position will be available for fully remote in the US * Reports to: Engineering Manager What ... Help engineering teams understand system bottlenecks, capacity limits, latency tradeoffs, and ...

Conservice

Technical Implementation Manger

Logan, UT · On-site +1

Be primary technical lead for ISP project managers, network engineers, and low-voltage contractors. Hold vendors accountable to construction schedules, wiring specifications, and SOW deliverables.

New

Motorola

Software Engineer

Salt Lake City, UT · Remote

We use our proprietary Blackbox technology to turn your existing camera network into an active ... Design systems for remote device provisioning, configuration, and software updates * Improve ...

ABB

Commercial Proposal Engineer

UT · Remote

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... ABB's Electrical Protection, Distribution & Control products include medium and low voltage ...

ABB

Commercial Proposal Engineer

UT · Remote

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... ABB's Electrical Protection, Distribution & Control products include medium and low voltage ...

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All JobsLow Latency Network Engineer JobsRemote Low Latency Network Engineer JobsRemote Low Latency Network Engineer Jobs in Utah

Remote Low Latency Network Engineer information

What is the difference between Remote Low Latency Network Engineer vs Remote Network Operations Center (NOC) Technician?

AspectRemote Low Latency Network EngineerRemote Network Operations Center (NOC) Technician
CredentialsNetworking certifications (e.g., CCNA, CCNP)Networking certifications (e.g., CompTIA Network+)
Work EnvironmentDesigning, optimizing, and maintaining low latency networksMonitoring and troubleshooting network issues in real-time
Industry UsageFinance, gaming, trading firms requiring minimal delayTelecom, ISPs, enterprise networks

While both roles involve networking skills and certifications, the Remote Low Latency Network Engineer focuses on designing and optimizing networks for minimal delay, often in high-frequency trading or gaming sectors. The Remote NOC Technician primarily monitors and troubleshoots existing networks to ensure uptime and performance. The engineer's role is more proactive and design-oriented, whereas the technician's role is reactive and operational.

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Remote Low Latency Network Engineer jobs near you

Staff AI Engineer - USA

Podium

Lehi, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.
In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we've deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.
Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.
Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.
Staff AI Engineer
The Role
We are looking for a talented Staff AI Engineer to help build and scale our AI Agent platform-a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you'll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat).
If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!
What you will be doing
  • Build and scale the AI Agent platform - enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
  • Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
  • Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
  • Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
  • Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
  • Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have
  • 10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
  • 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
  • Proven success designing and maintaining distributed or high-throughput systems.
  • Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
  • Excellent communication skills and the ability to work effectively across teams.
  • A willingness to work across the entire stack-from infrastructure to APIs to user-facing components-wherever the problem needs solving.
  • Ability to thrive in a fast-paced environment with shifting priorities.

What we hope you have
  • 2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
  • Practical experience designing and implementing evaluations for LLM behavior - including accuracy, safety, reliability, and cost monitoring.
  • Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
  • Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
  • Hands-on experience with fine-tuning and data curation for improving model performance.

Why you'll love working here:
  • Podium is the best place to work to:
    • Join the leaders in AI agents
    • Unlock career-defining growth
    • Build with world-class talent
    • Make a real impact on local business

Benefits:
  • Open and transparent culture
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan with company matching
  • Bi-annual swag drops with cool Podium gear and apparel

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

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