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Meta Engineer Jobs in Virginia (NOW HIRING)

Nightwing

Data Engineer with Security Clearance

Sterling, VA

$113.40K - $136.20K/yr

Meta Database Engineer Professional Certificate At Nightwing, we value collaboration and teamwork. You'll have the opportunity to work alongside talented individuals who are passionate about what ...

McAfee Corp.

Senior AI Engineer, MarTech

Reston, VA · On-site

$127.70K - $168.30K/yr

Senior AI Engineer, MarTech Role Overview: We are looking for a Senior AI Engineer to lead the ... Meta Conversions API, Google Enhanced Conversions), Analytics (Adobe CJA), Customer focused ...

Range

Growth Marketing Manager, Performance

Mclean, VA · On-site

Owning day-to-day execution on Google and Meta, the foundation of our paid media channels, you'll ... Strong communicator who works well across creative, engineering, and product Nice to Have * Fintech ...

Meta Force Technology Staffing LLC

DevOps Engineer

Reston, VA · On-site

$55 - $75.25/hr

Collaborate with customers and enterprise developers to formulate policies and plans that support enterprise goals. * Implement efficient end-to-end processes and maximize the use of existing IT ...

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Meta Engineer information

What are the key skills and qualifications needed to thrive as a Meta Engineer, and why are they important?

To thrive as a Meta Engineer, you need strong expertise in software engineering, systems architecture, and data structures, often backed by a degree in computer science or a related field. Familiarity with programming languages such as Python, C++, or Java, as well as experience with cloud platforms and distributed systems, is typically required. Exceptional problem-solving abilities, collaboration, and adaptability distinguish top performers in this role. These skills ensure efficient system design, seamless integration, and the ability to innovate within complex technical environments.

What are some common challenges Meta Engineers face when integrating new technologies into existing platforms?

Meta Engineers often encounter challenges when introducing new technologies, such as ensuring compatibility with legacy systems, maintaining platform scalability, and minimizing downtime during deployment. Balancing innovation with reliability is key, as updates must meet high user expectations for performance and security. Close collaboration with product managers, designers, and other engineering teams is essential to anticipate potential roadblocks and iterate quickly on solutions.

What are Meta Engineers?

Meta Engineers are professionals who work at Meta (formerly Facebook) focusing on designing, building, and maintaining the company's technical infrastructure, platforms, and products. Their roles can range from software engineering, data engineering, infrastructure management, to developing innovative technology solutions that support Meta’s various services like Facebook, Instagram, WhatsApp, and Oculus. Meta Engineers collaborate with cross-functional teams to solve complex technical challenges and help scale products to billions of users worldwide.

What is the difference between Meta Engineer vs Data Engineer?

AspectMeta EngineerData Engineer
Required CredentialsBachelor's in CS, experience with AI/ML, software development skillsBachelor's in CS, experience with databases, ETL pipelines, programming skills
Work EnvironmentTech companies, product teams, AI/ML focusData-centric teams, analytics departments, cloud platforms
Employer & Industry UsagePrimarily in social media, tech giants, AI-driven productsAcross finance, healthcare, retail, and tech industries

Meta Engineers focus on developing AI and machine learning systems within social media and tech platforms, while Data Engineers build and maintain data pipelines and infrastructure across various industries. Both roles require strong programming skills and a background in computer science, but their daily tasks and industry focus differ.

What are popular job titles related to Meta Engineer jobs in Virginia? For Meta Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Meta Engineer jobs in Virginia look for? The top searched job categories for Meta Engineer jobs in Virginia are:
What cities in Virginia are hiring for Meta Engineer jobs? Cities in Virginia with the most Meta Engineer job openings:
Meta Engineer jobs near you
Infographic showing various Meta Engineer job openings in Virginia as of May 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Senior AI Software Engineer (Generative AI / AWS Bedrock)

WorkNovas LLC

Reston, VA • On-site

$127.40K - $168K/yr

Contractor

Posted 7 days ago

Job description

F2F interviewSenior AI Software Engineer (Generative AI / AWS Bedrock)

Reston, VA, 3 days onsite

Description:

• 6+ years software engineering experience

• 3+ years building AI/ML-powered applications

• Experience deploying AI systems into production

Python Programming is must 

About the Role

We are seeking a Senior AI Software Engineer to design and build production-grade AI applications powered by large language models and foundation models. In this role, you will develop scalable commercial solutions using AWS Bedrock and other AI model providers, integrating advanced AI capabilities into real-world products and platforms.

You will work at the intersection of AI engineering, cloud architecture, and product development, building intelligent systems that leverage multiple foundation models for reasoning, automation, and data-driven insights.

This is a hands-on role for engineers passionate about transforming cutting-edge AI capabilities into robust, scalable commercial applications.

What You’ll Do

Technology Stack and AI/LLM Programming Expertise

• Hands-on experience with LLM APIs or foundation models

• Experience building:

o RAG systems

o AI copilots

o conversational agents

o automated workflows

o AI-driven analytics

o document AI solutions

• Python

• Java / TypeScript / Go (any backend language)

• Design and develop production AI applications using models available via AWS Bedrock and external providers

o AWS Bedrock

§ Anthropic Claude

§ Amazon Titan

§ Meta Llama

§ Cohere

§ OpenAI

o OpenAI

o Open-source LLMs

o S3, API Gateway, Step Functions, Lambda / ECS / EKS, Docker / Kubernetes

o FastAPI

o Terraform

Create pipelines for:

o embeddings

o document ingestion

o knowledge indexing

o model evaluation

• Vector databases (pg-vector, S3-vector, OpenSearch, FAISS)

• Embeddings and semantic search

• Prompt engineering

• Tracing, hallucination detection, cost monitoring, prompt performance, drift detection

• Model evaluation frameworks

• Experience with LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks

• LLM Monitoring and Observability

• Experience with multi-model routing systems

• Experience building AI agents or tool-using LLMs

• Knowledge of AI safety, guardrails, and prompt management

• Experience deploying models with Docker and Kubernetes

• MCP, FastMCP

• Reinforcement Learning

• AWS SageMaker with MLOPs

• Experience with Bedrock API [Like from Lambda or Other services]

• Design high-performance AI APIs and microservices

• Optimize latency, reliability, and cost of model inference

• Implement evaluation pipelines and monitoring for AI systems

What We’re Looking For

The ideal candidate:

• Thinks like a systems architect and builder

• Has shipped real AI products to production

• Understands tradeoffs between models

• Can design robust AI pipelines

• Is comfortable working with rapidly evolving AI technologies

Example Problems You’ll Work On

• Build an enterprise knowledge assistant using Bedrock

• Create AI agents that automate complex workflows

• Develop document intelligence pipelines for financial or operational data

• Design multi-model orchestration frameworks

• Optimize LLM cost, latency, and reliability