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Full Stack Ai Engineer Jobs in Adamstown, MD (NOW HIRING)

Quevera LLC

Full Stack Developer

Herndon, VA · On-site

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 ...

Steampunk

Full Stack Developer

Mclean, VA · On-site +1

$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

$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 ...

Guidehouse

Java Full Stack Developer

Mclean, VA

$53 - $68.50/hr

The Java Full Stack Developer will collaborate with developers, architects, DevOps engineers ... Leverage AI-assisted development tools and emerging technologies to improve software quality ...

Guidehouse

Java Full Stack Developer

Mclean, VA · On-site

$53 - $68.50/hr

The Java Full Stack Developer will collaborate with developers, architects, DevOps engineers ... Leverage AI-assisted development tools and emerging technologies to improve software quality ...

Guidehouse

Java Full Stack Developer

Rockville, MD

$53.50 - $69/hr

The Java Full Stack Developer will collaborate with developers, architects, DevOps engineers ... Leverage AI-assisted development tools and emerging technologies to improve software quality ...

MetaPhase Consulting

Full Stack Engineer

Reston, VA · On-site

We are also looking for engineers who know how to use AI-enabled software development tools ... full stack web application development. * Strong professional experience building modern web ...

NSS

Full Stack Python Developer

Leesburg, VA

Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio. You will develop ...

Bigbear.ai

Full Stack Developer

Ashburn, VA · On-site

$97K/yr

Overview BigBear.ai is seeking a Full Stack JAVA/JEE Developer for a multi-year contract to support the ongoing modernization and maintenance of the CBP information systems, using JAVA/JEE. What you ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Adamstown, MD

Full Stack Ai Engineer information

See Adamstown, MD salary details

$41.4K

$125.4K

$177.3K

How much do full stack ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full stack ai engineer in Adamstown, MD is $125,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $147,000.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What cities near Adamstown, MD are hiring for Full Stack Ai Engineer jobs?

Cities near Adamstown, MD with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you

Python/AI Full Stack Developer

Elite IT Solutions inc

Ashburn, VA • On-site

Other

Posted 11 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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