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Full Stack Ai Engineer Jobs in Washington (NOW HIRING)

LMI

AI Full-Stack Engineer

Tysons, VA

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 · 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 ...

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 ...

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Full Stack Ai Engineer information

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

As of Aug 6, 2026, the average yearly pay for full stack ai engineer in Washington is $152,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $179,000.00 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.

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 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.
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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $152,641 per year, or $73.4 per hour.

Software Engineer- Full Stack AI Applications

Mpr Associates, Inc.

Alexandria, VA • On-site

Other

Re-posted 20 days ago

Job description

Overview

MPR Associates, Inc. (MPR), a thriving multi-discipline, specialty engineering services and consulting firm, is actively seeking a capable and motivated Software Engineer to join our team. If you are seeking a unique, challenging, and rewarding career opportunity, MPR may be the right company for you.

Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal services, and health and life sciences, in the United States as well as internationally. Headquartered in Alexandria, Virginia, we also have offices in East Lyme, Connecticut, Burlington, Massachusetts, and Salt Lake City, Utah. MPR makes challenging projects successful, delivering safe and reliable technical solutions across the entire project or product life-cycle to benefit our clients and society as a whole. We hire the best and brightest, which results in a high-performance culture built on trust and respect, making MPR an exceptional place to work.

General Job Description

Join our specialized engineering team building cutting-edge AI applications for the nuclear and energy industry. We're a focused innovation team within a large organization, operating with startup agility to develop B2B solutions that will transform how the nuclear industry handles critical document analysis and AI verification.

As a key member of our small, high-impact team, you'll be building full-stack AI applications from the ground up, starting with document analysis and verification tools that will expand into a broader suite of mission-critical energy sector applications.

Duties/Responsibilities
  • Build from scratch: Architect and develop new AI-powered applications using modern full-stack technologies.
  • AI/ ML Integration: Implement Retrieval-Augmented Generation (RAG) systems for intelligent document processing and analysis.
  • Full Stack Development: Work across the entire technology stack, from front end user interfaces to backend AI services.
  • Cloud Infrastructure: Deploy and manage applications on AWS using services like ECS, S3, Bedrock, API Gateway, and Route 53.
  • Domain Impact: Create tools that enhance efficiency in the nuclear energy sector.
  • Rapid Innovation: Move quickly in a small team environment where contributions directly shape product direction.
Qualifications
  • U.S. Citizenship required.
Education
  • Bachelor of Science in Computer Engineering, Computer Science, Software Engineering or related discipline.
Experience
  • Four (4) or more years of software engineering experience.
  • Proven experience building production applications.
  • Experience with docker containerized applications.
  • Experience with document processing, NLP, or knowledge management systems preferred.
  • Existing experience working in highly regulated industries preferred.
  • Experience with FastAPI, Asyncio, and boto3 preferred.
  • Experience with Terraform IaC for AWS preferred.
  • Proficient in or eager to learn: Python, TypeScript/React, RAG/ Vector Databases, and/ or AWS
Skills
  • The ability to learn quickly and adapt to new technologies while multitasking.
  • Excellent communication skills, both written and oral.
  • Ability to work collaboratively across functional teams.
  • Exceptional time and project management skills.
  • Ability to work in a dynamic and fast-paced environment.
  • Persistent, questioning attitude and ability to accept that in others.
  • Motivated to expand skills and knowledge, as well as tackle new problem and take on new responsibilities.

MPR Associates, Inc. is an equal opportunity and affirmative action employer, who participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, religion, age, disability, veteran's status, sexual orientation, gender identity, genetic information or any other classification as required by applicable laws.  MPR is a certified Virginia Values Veterans (V3) employer.

Employment Type: OTHER

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