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Ai Full Stack Developer Jobs in Ashburn, VA (NOW HIRING)

LMI

AI Full-Stack Engineer

Tysons, VA · On-site

We are looking for an AI Full-Stack Engineer to build and deliver end-to-end software products that integrate modern AI capabilities into real operational workflows. This role spans frontend, backend ...

LMI

AI Full-Stack Engineer

Tysons, VA

Overview We are looking for an AI Full-Stack Engineer to build and deliver end-to-end software products that integrate modern AI capabilities into real operational workflows. This role spans frontend ...

LMI

AI Full-Stack Engineer

Tysons, VA · On-site

Overview We are looking for an AI Full-Stack Engineer to build and deliver end-to-end software products that integrate modern AI capabilities into real operational workflows. This role spans frontend ...

Quevera LLC

Full Stack Developer

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In this role, you will develop innovative full stack applications while integrating Generative AI ... Working alongside a collaborative engineering team, you will develop new application features ...

Quevera LLC

Full Stack Developer

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In this role, you will develop innovative full stack applications while integrating Generative AI ... Working alongside a collaborative engineering team, you will develop new application features ...

GRVTY

Full Stack Developer

Chantilly, VA · On-site

... Learning (AI / ML), Natural Language Processing (NLP). We also bring the best ideas, tools, and ... What You'll be Owning GRVTY is seeking a Full Stack Developer with a TS/SCI + Poly clearance ...

Swarmint LLC

Full Stack Developer

Arlington, VA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

SwarmInt is a defense AI startup developing computer vision and edge AI capabilities for military ... Join our engineering team as a Full Stack Developer building applications that power AI-driven ...

Steampunk

Full Stack Developer

Mclean, VA · On-site

$85K - $170K/yr

The Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely ...

Techno Talent Inc.

Full Stack Developer

Mclean, VA · On-site

Onsite Full Stack Developer: As an Senior Software engineer on our team, you''ll be expected to ... with leveraging AI technology in improving productivity as well as the incorporating in the ...

Steampunk

Full Stack Developer

Mclean, VA · On-site

$85K - $170K/yr

The Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely ...

Steampunk

Full Stack Developer

Mclean, VA · On-site +1

$140K - $190K/yr

The Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely ...

Steampunk

Full Stack Developer

Mclean, VA · On-site +1

$140K - $190K/yr

The Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely ...

Steampunk

Full Stack Developer

Mclean, VA · On-site +1

$140K - $190K/yr

The Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely ...

Steampunk

Full Stack Developer

Mclean, VA · On-site

$85K - $170K/yr

The Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely ...

CACI International, Inc.

Full Stack Developer

Fairfax, VA · On-site

  • Medical

  • Retirement

  • PTO

Full Stack Developer Job Category: Engineering Time Type: Full time Minimum Clearance Required to ... Understanding of AI/ML workflows, model serving, and inference optimization This position is ...

Next Step Systems

Full Stack Developer

Washington, DC · On-site

  • Medical

  • Retirement

  • PTO

Full Stack Developer, Washington DC We are seeking a Full Stack Developer to work on a team building custom software for great customers using modern technologies and Agile methods. The Full Stack ...

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All JobsAi Full Stack Developer JobsAi Full Stack Developer Jobs in Ashburn, VA

Ai Full Stack Developer information

See Ashburn, VA salary details

$24

$60

$88

How much do ai full stack developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai full stack developer in Ashburn, VA is $60.60, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $69.81 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

What are popular job titles related to Ai Full Stack Developer jobs in Ashburn, VA?

For Ai Full Stack Developer jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Ai Full Stack Developer jobs in Ashburn, VA look for?

The top searched job categories for Ai Full Stack Developer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Ai Full Stack Developer jobs?

Cities near Ashburn, VA with the most Ai Full Stack Developer job openings:

Ai Full Stack Developer jobs near you
Infographic showing various Ai Full Stack Developer job openings in Ashburn, VA as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $126,048 per year, or $60.6 per hour.

Python/AI Full Stack Developer

Elite IT Solutions inc

Ashburn, VA • On-site

Other

Posted 4 days ago

Job description

Hi,
Please find the job description below
Role: Python/AI Full Stack Developer
Location: Remote
Job Description
•    The Senior Full-Stack Engineer is a hands-on, deeply technical position responsible for designing, building, and deploying cutting-edge Generative AI software and multi-agent systems.
•    This role owns the end-to-end implementation of the foundation's intelligent applications, from engineering advanced backend services on Google Cloud Vertex AI utilizing Gemini Enterprise models, to orchestrating complex workflows with Google’s Agent Development Kit (ADK) and connecting enterprise content and data through the Model Context Protocol (MCP).
•    The engineer will also build interactive web user experiences in React and manage structural and semantic vector data in PostgreSQL.
Qualifications
•    Design, develop, and deploy enterprise-scale multi-agent systems using Google’s Agent Development Kit (ADK), including multi-step autonomous workflows, API and tool calling, stateful conversation management, and human-in-the-loop patterns.
•    Build and maintain Model Context Protocol (MCP) clients and servers to provide standardized connectivity between LLM applications, enterprise content repositories, data platforms, APIs, and web services.
•    Design scalable full-stack architectures connecting AI services, application logic, relational and vector data stores, and interactive web applications.
•    Integrate Gemini models through Google Cloud Vertex AI, configuring context management, prompt templates, structured outputs, model behavior, and appropriate safety controls.
•    Develop clean, maintainable, production-grade Python services supporting application logic, AI orchestration, LangChain workflows, and data integration pipelines.
•    Build modern, responsive web applications using React and JavaScript/TypeScript, including interfaces capable of streaming and displaying agent states and model responses.
•    Design and optimize data solutions using PostgreSQL, pgvector, and BigQuery, supporting relational, keyword, semantic vector, and hybrid search use cases.
•    Develop and optimize Retrieval-Augmented Generation (RAG) pipelines that provide LLMs and agents with accurate, relevant enterprise context.
•    Containerize and deploy full-stack AI applications within Google Cloud Platform, incorporating automated testing and modern CI/CD practices.
•    Monitor and optimize token consumption, model selection and routing, semantic caching, application latency, model accuracy, and cloud costs.
•    Implement evaluation and observability capabilities for AI applications, including agent tracing, response quality monitoring, hallucination detection, model drift identification, and dynamic routing evaluation.
•    Implement AI security controls to mitigate risks including prompt injection, sensitive-data leakage, and unauthorized PII exposure.
•    Apply responsible AI engineering practices, including automated validation and evaluation of prompts and model responses for quality, transparency, fairness, and reliability.
•    Work within an Agile delivery environment and independently take solutions from initial design through development, testing, deployment, and production support.
•    Collaborate with architects, engineers, product teams, and other stakeholders to translate business requirements into scalable technical solutions.
Qualifications and Skills
•    6+ years of professional software engineering experience, with a background in full-stack development, software architecture, machine learning engineering, or a related discipline.
•    2+ years of hands-on Generative AI experience, building and deploying enterprise LLM applications, RAG solutions, or agentic/multi-agent systems into production environments.
•    Advanced programming skills in Python, including experience developing production-grade backend applications and services.
•    Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) and Vertex AI.
•    Production experience working with Gemini or comparable enterprise LLM platforms.
•    Practical experience developing agentic AI solutions using Google Agent Development Kit (ADK) or comparable agent orchestration frameworks.
•    Experience implementing or working with Model Context Protocol (MCP) clients and/or servers.
•    Strong understanding of RAG architectures, embeddings, vector search, context management, prompt engineering, and LLM orchestration.
•    Experience with LangChain or similar AI application frameworks.
•    Proficiency with React and modern JavaScript/TypeScript for developing single-page web applications and integrating streaming APIs.
•    Strong knowledge of PostgreSQL, including relational data modeling, advanced querying, and vector indexing/search using pgvector or similar technologies.
•    Experience with BigQuery or comparable cloud data platforms.
•    Working knowledge of Docker, automated testing, CI/CD pipelines, and cloud-native application deployment.
•    Understanding of Generative AI observability, evaluation, security, model performance, token optimization, and cost management.
•    Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related discipline, or equivalent practical experience.
Preferred Skills
•    Experience designing enterprise-scale autonomous or multi-agent AI systems.
•    Strong understanding of agent memory, tool calling, workflow orchestration, and human-in-the-loop architectures.
•    Experience implementing hybrid search combining traditional keyword retrieval and semantic vector search.
•    Familiarity with LLM evaluation frameworks, tracing, hallucination detection, and model quality monitoring.
•    Knowledge of responsible AI practices and security considerations specific to enterprise Generative AI applications.
•    Experience taking AI applications from proof of concept through scalable production deployment.
 

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