ZipRecruiter

Log In

1

Customer Application Engineer Jobs in Reston, VA

Bigbear.ai

AI Application Engineer

Mclean, VA · On-site

$150 - $200/hr

Overview BigBear.ai is seeking an AI Applications Engineer. In this position, you will develop and ... Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex ...

VTG

Systems Engineer Expert

Herndon, VA · On-site

Manage and maintain the customer's application servers, networks and development & test ... Works well in an engineering team environment with other teammates who varied skills levels.

VT Group (VTG)

Systems Engineer Expert

Herndon, VA · On-site

The ideal candidate will manage the customer's application infrastructure, ensuring the smooth ... programming. • Works well in an engineering team environment with other teammates who varied ...

VTG

Systems Engineer Expert

Herndon, VA · On-site

Manage and maintain the customer's application servers, networks and development & test ... Works well in an engineering team environment with other teammates who varied skills levels.

previous pagenext page

Showing results 21-40

All JobsCustomer Application Engineer JobsCustomer Application Engineer Jobs in Reston, VA

Customer Application Engineer information

See Reston, VA salary details

$52.5K

$115.2K

$158.1K

How much do customer application engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for customer application engineer in Reston, VA is $115,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $140,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a customer application engineer?

To thrive as a Customer Application Engineer, you need a solid background in engineering principles, problem-solving abilities, and a relevant degree such as in electrical, mechanical, or software engineering. Proficiency with industry-specific software tools (like CAD, MATLAB, or CRM systems) and sometimes certifications in relevant technologies are typically required. Strong communication, customer service orientation, and project management skills help you effectively bridge technical solutions with client needs. These skills ensure you can deliver tailored technical support, foster customer satisfaction, and drive successful product implementation.

What are some common challenges faced by customer application engineers when supporting clients, and how can they be addressed?

Customer Application Engineers often encounter challenges such as understanding diverse client needs, troubleshooting complex technical issues, and balancing multiple projects simultaneously. Effective communication and active listening are essential for accurately capturing client requirements and providing tailored solutions. Additionally, staying up-to-date with the latest product updates and collaborating closely with cross-functional teams—like sales, product management, and R&D—helps address technical challenges efficiently and ensures customer satisfaction.

What is the difference between Customer Application Engineer vs Application Engineer?

AspectCustomer Application EngineerApplication Engineer
Required CredentialsBachelor's in Engineering, technical certificationsBachelor's in Engineering or related field, technical certifications
Work EnvironmentCustomer sites, technical support, client interactionOffice, project teams, product development
Employer & Industry UsageManufacturing, tech, industrial sectorsSoftware, hardware, manufacturing sectors
Common Search & ComparisonCustomer-focused roles, technical supportProduct implementation, technical consulting

Customer Application Engineers primarily focus on supporting clients directly, providing technical solutions, and ensuring product integration at customer sites. Application Engineers often work within companies to develop, test, and implement products, supporting sales and engineering teams. While both roles require technical expertise and similar credentials, their work environments and primary responsibilities differ, with Customer Application Engineers more client-facing and Application Engineers more product-focused.

Do customer application engineers make good money?

Customer Application Engineers typically earn competitive salaries that vary by industry, experience, and location. They often have specialized technical skills, such as knowledge of software, hardware, or engineering tools, which can contribute to higher compensation. Overall, the role can offer a solid income with opportunities for advancement and additional benefits.

What does a customer application engineer do?

A customer application engineer provides technical support and solutions to clients by understanding their needs, troubleshooting issues, and ensuring proper implementation of products or systems. They often collaborate with sales and engineering teams, use tools like CAD or diagnostic software, and may require certifications in relevant technologies. Their goal is to optimize product performance and customer satisfaction through technical expertise and communication skills.

What are popular job titles related to Customer Application Engineer jobs in Reston, VA?

For Customer Application Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Customer Application Engineer jobs in Reston, VA look for?

The top searched job categories for Customer Application Engineer jobs in Reston, VA are:

Customer Application Engineer jobs near you
Infographic showing various Customer Application Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $115,166 per year, or $55.4 per hour.

AI Application Engineer

Mclean, VA • On-site

Bigbear.ai
Software Development • 501 - 1,000 employees
Learn more about Bigbear.aiexternal

$150 - $200/hr

Other

Posted 10 days ago

Job description

Residency

All applicants must currently reside in the United States

All applicants must reside in the National Capital Region.

Overview

BigBear.ai is seeking an AI Applications Engineer. In this position, you will develop and maintain AI applicationsand a config-driven decision-support platform that combines LLM-powered chat (RAG), structured data (MCP/PostgreSQL), and dashboards to supportoperational readiness and logistics workflows. You will own features end-to-end across backend APIs, database, and the modern React UI, with ongoing support for the existing Dash/Flask application during migration.

What you will do
  • Build and maintain full-stack features: FastAPI services, PostgreSQL schema/migrations, and React/TypeScript UI in an Nx monorepo
  • Design, implement, and maintain LLM/RAG pipelinesusing LangChain(Python) or LangChain4J(Java)—retrieval, embeddings, tool/agent orchestration, and prompt workflows
  • Integrate LLM providers (e.g. OpenAI, Anthropic, Ask Sage), document ingestion, semantic search, and chat/report features
  • Work with vector stores (e.g. PostgreSQL (pgvector), Weaviate), Redis, and Keycloakauth; implement role-based access and secure API patterns
  • Connect to external systems via MCP, REST/PostgREST, and related data adapters
  • Write and maintain tests(pytest, Vitest) and participate in CI/CD (Docker, GitHub Actions)
  • Debug production issues, improve reliability/performance, and keep dependencies and security patches current
  • Use AI-assisted development tools (e.g. Cursor) effectively: prompt well, review generated code critically, and ship production-quality changes at a steady pace
What you need to have
  • 3+ years full-stack development with strong Python and React/TypeScript
  • Must be able to obtain and maintain a security clearance
  • Hands‑on LLM/RAGexperience building production features with LangChainor LangChain4J(chains, retrievers, agents/tools, embeddings, vector stores)
  • Experience building and consuming REST APIs(FastAPI or similar)
  • Solid PostgreSQLskills: schema design, SQL, migrations (pgvector a plus)
  • Comfortable with Docker, local dev environments, and basic deployment workflows
  • Strong debugging, testing, and code review habits
  • Ability to work independently across backend, frontend, database, and AI layers
  • Proven comfort using AI coding assistantsas a daily workflow—not as a substitute for understanding the codebase
What we'd like you to have
  • Dash/Plotly, Flask, or legacy-to-modern UI migration experience
  • Keycloak/OAuth, Redis sessions
  • Nx monorepos, TanStack Router/Query, Tailwind CSS
  • MCP protocol, Ask Sage, or similar enterprise LLM platforms
  • Government/defense or regulated-environment experience
Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

#J-18808-Ljbffr

Apply