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Ai Content Engineer Jobs in Springfield, VA (NOW HIRING)

AI at Cvent: Leading the Future Are you ready to shape the future of work at the intersection of ... Experience working with product designers, engineers, and product managers * Understand human ...

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S ... Emphasis is placed on configuration-first development, CI/CD, data/content ingestion pipelines, and ...

Emphasis is placed on configuration-first development, CI/CD, data/content ingestion pipelines, and ... with AI Developers, Data Engineers, Scrum Masters, and federal stakeholders in Agile/Scrum ...

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S ... Emphasis is placed on configuration-first development, CI/CD, data/content ingestion pipelines, and ...

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S ... Emphasis is placed on configuration-first development, CI/CD, data/content ingestion pipelines ...

Build and maintain the AWS Bedrock Knowledge Base, including content ingestion pipelines synced ... in applied AI/ML engineering, with hands-on work building LLM-based applications (prompt ...

Technical Writer

Vienna, VA · On-site

$120K - $170K/yr

This allows engineering teams to debug faster and ship with greater confidence. The rise of AI ... The role We're looking for a Content Engineer to work on docs and educational content for ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Lead AI Engineer Location: Rockville, MD Duration: 6-12 Months Hybrid 3 days onsite / 2 days remote ... Develop LLM-driven compliance reasoning and scalable RAG grounded in regulatory content.

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Showing results 21-40

Ai Content Engineer information

See Springfield, VA salary details

$30.8K

$121.8K

$134.7K

How much do ai content engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai content engineer in Springfield, VA is $121,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,500.00 and $133,700.00 per year, depending on experience, location, and employer.

What are some typical challenges an AI content engineer faces when deploying AI-generated content at scale?

AI Content Engineers often encounter challenges related to maintaining content quality and consistency when deploying AI-generated material across multiple platforms. Balancing automation with human oversight is crucial to avoid errors, biases, or brand voice inconsistencies. Additionally, integrating AI tools with existing content management systems and ensuring compliance with data privacy regulations can be complex. Close collaboration with data scientists, content strategists, and legal teams is often required to address these issues effectively.

What is the difference between Ai Content Engineer vs Data Scientist?

AspectAi Content EngineerData Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and ML toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDeveloping AI models for content generation, working with NLP and ML frameworksAnalyzing data sets, building predictive models, interpreting complex data
Employer & Industry UsageTech companies, content platforms, AI startupsFinance, healthcare, tech firms, research institutions

While both roles involve AI and data analysis, Ai Content Engineers focus on creating AI systems for content generation, whereas Data Scientists analyze data to derive insights and build predictive models. The roles often overlap in skills but differ in primary objectives and applications.

What is an AI content engineer?

An AI Content Engineer is a professional who designs, develops, and manages content systems powered by artificial intelligence. They work at the intersection of content strategy, data science, and machine learning, creating tools and workflows that automate or enhance content creation, curation, and personalization. Their responsibilities often include training language models, integrating AI capabilities into content management systems, and ensuring the quality and relevance of AI-generated content. This role is crucial for organizations aiming to scale content production while maintaining quality and consistency.

What are the key skills and qualifications needed to thrive as an AI content engineer?

To thrive as an AI Content Engineer, you need a strong background in computer science, natural language processing (NLP), and experience with programming languages like Python, as well as a relevant degree or equivalent experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like spaCy or NLTK), and cloud platforms is typically required. Creativity, problem-solving, and effective communication are essential soft skills for designing user-focused AI content solutions and collaborating with cross-functional teams. These skills ensure the development of robust, innovative AI-driven content systems that meet business and user needs.
What are popular job titles related to Ai Content Engineer jobs in Springfield, VA? For Ai Content Engineer jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Ai Content Engineer jobs in Springfield, VA look for? The top searched job categories for Ai Content Engineer jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Ai Content Engineer jobs? Cities near Springfield, VA with the most Ai Content Engineer job openings:
Infographic showing various Ai Content Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $121,808 per year, or $58.6 per hour.

Senior Software Engineer

Modern Classrooms Project

Washington, DC • On-site, Remote

$159K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Start Date: ASAP
Role Type: Full-Time, Salaried
Background: Software development
Location: Remote, Flexible (USA based)
Salary: $160,000-$190,000 per year, plus benefits
Who We Are:
The Modern Classrooms Project (MCP) is a 501(c)(3) nonprofit organization that empowers educators to build classrooms that respond to every student's needs. Founded by two award-winning teachers, we lead a movement of educators in implementing a self-paced, mastery-based instructional model that leverages technology to foster human connection, authentic learning, and social-emotional growth.
To date, we have reached over 100,000+ teachers through our free online course in 150+ countries. We are an ambitious, idealistic team led by former classroom teachers, and we are passionate about what we do.
Job Description - Why we need you!
For the past eight years, we have empowered educators to use technology more effectively. Last year, we secured funding to begin developing our own edtech software products.
We need an experienced, hands-on, AI-native Senior Software Engineer to help transform our product vision into reality. You will be a foundational member of our new technical team, taking the lead on back-end and generative AI content pipelines, and creating intuitive, powerful tools that will directly support educators and students every day.
Key Responsibilities
As Senior Software Engineer, you will be a senior individual contributor on our engineering team, reporting to the Head of Engineering and collaborating closely with the Chief Innovation Officer to ship features that make a real difference for students and educators.
You'll be joining a small and growing team of talented software engineers working together to solve the problems our teachers face every day, make teachers more effective, and make our evidence-based model more accessible to any educator who wants to help all of their students succeed. We need you to help us make that happen.
You will:
  • Ship multiple substantial features per week. This is a minimum velocity bar, not an exaggeration. You will leverage AI and agentic coding to build incredible software, very, very quickly.
  • Operate as the technical lead and steward of your agentic coding pipeline. Write detailed prompts and specifications, and embrace Spec-Driven Development. Compose orchestrator agents and dispatch agent teams. Engineer RALPH Loops with well-formed completion promises. Actively multitask between several agents to simultaneously develop multiple substantial features in parallel.
  • Build the AI workflow engine that powers our products. Develop state-of-the-art graph-based agentic orchestration workflows with nodes and conditional edges, structured outputs, interrupts and human-in-the-loop circuit breakers. Implement durable execution, long-running work that survives process restarts, rate limits, and outages, with an evaluation harness, versioned prompt chains, annotated datasets and cross-provider benchmarks on cost, latency, and quality.
  • Architect resilient, high-scale backend systems. Design and scale distributed infrastructure across Python and TypeScript to support heavy edtech workloads. Own the systems design, API boundaries, and database performance, ensuring that our foundational architecture remains highly available, secure, and ready to scale.
  • Extend the context layer. Contribute to our AGENTS.md and Agent Skills so that every session produces better work than the last. These are living production artifacts, and you own the parts that describe your domain.
  • Partner on architecture. Collaborate closely with the Head of Engineering, Chief Innovation Officer, and other product leaders on technical direction, feature roadmap, and the hard technical design decisions and trade-offs underneath.
  • Raise the bar for the team. Review the work of teammates and contractors. Collaborate with teammates on architecture and implementation reviews. Write PR comments, design docs, and agent skills that make the next person faster.

You should apply if:
  • You are AI-native. You are an expert in continuous multi-session development with Claude Code and/or OpenAI Codex. You are an expert at prompt engineering and context engineering. You write Agent Skills the way other engineers write unit tests. You practice Spec-Driven Development (GitHub Spec Kit or equivalent) as part of your normal workflow. You know what a RALPH Loop is and how to deploy one.
  • You ship, a lot. You deliver multiple large features per week. Not because you're cutting corners, but because you've rebuilt your workflow around agentic tools and you have the taste to steer them well. You know the difference between vibe-coding and prompt engineering with specification-driven work, and you know which one to reach for in which situation.
  • You have built real backend AI orchestration layers that run when you're not watching. You think in graphs - shared state flowing through nodes, conditional edges, interrupts, and circuit breakers. You have shipped non-trivial agentic pipelines using LangGraph, Python, and TypeScript, or equivalent. You treat durable execution, structured outputs, human-in-the-loop checkpoints, and provider-agnostic model routing as baseline design constraints. You have built evaluation harnesses, annotated datasets, and versioned prompt chains as first-class artifacts.
  • You are self-directed. You thrive in small, high-autonomy teams and startups where the surface area is broad and the context shifts constantly. You write clearly. You own a problem end-to-end without waiting for a ticket to tell you what to do next.
  • You love to learn. You're actively leveraging the latest developments in AI and applying them to enhance both your own and others' work. You're also motivated by MCP's mission and vision, and eager to build teacher- and student-facing products.
  • You want to shape the world. You're motivated to be part of something larger than yourself. You believe that the highest value of your talent is using it to empower others. You're ready to make a real difference in educators' and young people's lives.

It would also be helpful if:
  • You have experience building edtech products.
  • You have experience handling sensitive and/or confidential data, particularly in an education context (COPPA, CIPA, FERPA, PPRA, SOC 2).

Compensation and Benefits
We aim to offer a competitive compensation package, as well as the opportunity to work in a fast-growing nonprofit that is on a mission to improve education worldwide. This includes:
  • Salaried position: $160,000-$190,000 gross salary per year
  • Employer-sponsored health insurance through CareFirst BlueCross BlueShield
  • Employer-sponsored dental and vision insurance through MetLife
  • Participation in Vanguard 403(b) deferred-compensation plan with 3% employer match
  • Paid Time Off, inclusive of: vacation/PTO (20 days), paid holidays, paid parental leave, sick and safe paid time off, "Me Days", and the ability to earn paid Comp time off
  • Annual budget for MCP-funded Continuous Learning for the program(s) you request (available after 6 months of continuous full-time employment)
  • FSA and Dependent Care FSA access
  • 1x Salary Life Insurance company-paid coverage
  • Access to Wishbone Pet Insurance Benefit
  • Ability to work remotely and to set your own hours (within reason)

STATEMENT OF NON-DISCRIMINATION: The Modern Classrooms Project is committed to equal employment opportunity. We do not discriminate on the basis of race, color, gender, disability, age, religion, sexual orientation, nationality, or ethnicity. We are strongly committed to hiring a diverse team and encourage applications from traditionally under-represented backgrounds.