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Ai Application Developer Jobs in Virginia (NOW HIRING)

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 ... Flask application during migration. What you will do * Build and maintain full-stack features

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Application Developer III

Herndon, VA · On-site

Application Developer III Overview We are seeking an experienced Application Developer III to ... Design, develop, test, and maintain scalable web-based and AI-enabled applications. * Build and ...

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Ai Application Developer information

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How much do ai application developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for ai application developer in Virginia is $52.19, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $60.05 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What are popular job titles related to Ai Application Developer jobs in Virginia?

For Ai Application Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Application Developer jobs in Virginia look for?

The top searched job categories for Ai Application Developer jobs in Virginia are:

What cities in Virginia are hiring for Ai Application Developer jobs?

Cities in Virginia with the most Ai Application Developer job openings:

Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $108,551 per year, or $52.2 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.

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