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

InterImage

AI/ML Software Developer

Arlington, VA

... LLM/GenAI technologies into production environments. Key Responsibilities Full Stack Development ... Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django) * Develop ...

InterImage

AI/ML Software Developer

Arlington, VA · On-site

... LLM/GenAI technologies into production environments. Key Responsibilities Full Stack Development ... Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django) * Develop ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

The ideal candidate is a hands-on engineer with strong Python backend development skills, practical ... LLM integration AI-assisted model insight generation Chatbot integration Prompt engineering

Relativity

Software Engineer

Washington, DC · On-site +1

... backend service design Preferred * Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI ...

NSS

Full Stack Python Developer

Leesburg, VA

... backend applications that power AI/ML capabilities for the DoD Search Portfolio ... You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG ...

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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 Aug 12, 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 is an LLM backend engineer?

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?

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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Llm Backend Engineer jobs near you
Infographic showing various Llm Backend Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $153,620 per year, or $73.9 per hour.

AI/ML Software Developer

InterImage

Arlington, VA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

**Secret OR Top Secret Clearance Required**

We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models.

You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments.

Key Responsibilities

Full Stack Development

  • Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs)
  • Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django)
  • Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar)
  • Architect and implement RESTful and/or GraphQL APIs
  • Ensure application performance, scalability, and security across the stack

Database & Data Engineering

  • Design, develop, and optimize relational and/or NoSQL database systems
  • Create efficient data models and schemas to support large-scale applications
  • Develop scripts and pipelines to ingest, transform, and manage data flows
  • Troubleshoot performance bottlenecks and ensure data integrity
  • Work with large, complex datasets to enable analytics and AI use cases

Generative AI / LLM Integration

  • Build, test, and deploy LLM-powered applications and workflows
  • Integrate Generative AI capabilities into existing platforms and user experiences
  • Evaluate and assess LLM outputs for performance, accuracy, and usability
  • Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations
  • Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases

System Design & Architecture

  • Contribute to the design of scalable, distributed system architectures
  • Collaborate with engineers to integrate AI components into enterprise environments
  • Balance tradeoffs between performance, cost, and scalability
  • Support CI/CD pipelines and DevSecOps best practices for deployment

Client & Mission Support

  • Translate ambiguous requirements into technical solutions
  • Help stakeholders understand evolving AI/technology options
  • Provide guidance on best practices for integrating AI into business workflows

Requirements

Required Qualifications

  • Strong experience developing Python applications from scratch, including testing and deployment
  • Hands-on experience with full stack development (front-end + back-end)
  • Proficiency with database design and management (SQL and/or NoSQL)
  • Experience with data wrangling, transformation, and scripting for data pipelines
  • Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows
  • Experience building and consuming APIs
  • Understanding of software development best practices (version control, testing, CI/CD)

Preferred / Nice-to-Have Qualifications

  • Experience deploying and managing LLMs locally and in cloud environments
  • Hands-on experience with fine-tuning models and integrating them into production systems
  • Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS)
  • Knowledge of prompt engineering and content filtering techniques
  • Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling
  • Experience with model distillation and optimization
  • Exposure to knowledge graphs and graph databases (e.g., Neo4j)
  • Experience working in cloud environments (AWS, Azure, or GCP)

Benefits

  • 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
  • PTO: 20 days per year
  • Healthcare, dental, vision, Free for a single participant
  • $50,000 Life insurance provided, additional voluntary life insurance available


InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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