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Llm Backend Engineer Jobs in Reston, VA (NOW HIRING)

Cisco

Software Engineer, Backend

Herndon, VA ยท On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

New

Cisco

Software Engineer, Backend

Arlington, VA ยท On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

New

Cisco

Software Engineer, Backend

Ashburn, VA ยท On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

New

Cisco

Software Engineer, Backend

Rockville, MD ยท On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

New

Cisco

Software Engineer, Backend

Mclean, VA ยท On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

New

Cisco

Software Engineer, Backend

Reston, VA ยท On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

New

Cisco

Software Engineer, Backend

Washington, DC ยท On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

New

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All JobsLlm Backend Engineer JobsLlm Backend Engineer Jobs in Reston, VA

Llm Backend Engineer information

See Reston, VA salary details

$62.9K

$153.6K

$207K

How much do llm backend engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for llm backend engineer in Reston, VA is $153,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $178,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by LLM Backend Engineers when deploying large language models in production?

LLM Backend Engineers often encounter challenges such as optimizing inference latency, managing high resource consumption, and ensuring scalability for production workloads. Balancing model performance with cost efficiency requires careful selection of hardware, batching strategies, and model quantization techniques. Additionally, they must address security and privacy concerns associated with handling sensitive data processed by the models. Collaboration with data scientists and DevOps teams is essential to streamline model updates and monitor system health.

What are LLM Backend Engineers?

LLM Backend Engineers are software engineers who specialize in designing, building, and optimizing the backend infrastructure that supports large language models (LLMs) like GPT-4. They focus on integrating LLMs into products and services, ensuring scalable APIs, managing data pipelines, and optimizing inference performance. Their work often involves deploying models in cloud environments, monitoring system reliability, and collaborating with AI researchers to bring advancements into production. LLM Backend Engineers play a critical role in making AI-powered applications robust, efficient, and accessible to end users.

What are the key skills and qualifications needed to thrive as an LLM Backend Engineer, and why are they important?

To thrive as an LLM Backend Engineer, you need a solid foundation in software engineering, backend architecture, and experience working with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python or Java, cloud platforms (AWS, GCP, Azure), and machine learning frameworks such as TensorFlow or PyTorch is essential, along with familiarity with APIs and containerization tools like Docker or Kubernetes. Strong problem-solving, collaboration, and communication skills distinguish top performers in this role. These skills ensure robust, scalable, and efficient deployment of LLM-powered applications while enabling effective teamwork and innovation.
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