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Remote Developer Jobs in Norfolk, VA (NOW HIRING)

Adroit Partners

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Oracle Technical Product Analyst - 100% Remote

Virginia Beach, VA · Remote

$30 - $35/hr

Oracle Technical Product Analyst Location: 100% Remote At this time, No 3rd parties or C2C will be ... Partner with business stakeholders, architects, engineers, and QA teams to gather requirements ...

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Remote Developer information

See Norfolk, VA salary details

$16

$51

$79

How much do remote developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote developer in Norfolk, VA is $51.12, according to ZipRecruiter salary data. Most workers in this role earn between $39.09 and $62.55 per hour, depending on experience, location, and employer.

What is the difference between Remote Developer vs Remote Software Engineer?

AspectRemote DeveloperRemote Software Engineer
Required CredentialsTypically a degree in Computer Science or related field; coding certificationsSimilar credentials; often includes certifications like AWS, Microsoft, or specific programming languages
Work EnvironmentRemote, often freelance or contract-based; independent work settingRemote, usually full-time employment with a company or organization
Employer & Industry UsageStartups, tech companies, freelance platformsLarge corporations, tech firms, enterprise-level projects
Common Search & ComparisonYesYes

Remote Developers and Remote Software Engineers share similar skills and credentials, often working remotely in tech environments. The main difference lies in their roles: Remote Developers typically focus on coding and building applications, while Remote Software Engineers may have broader responsibilities including system design and architecture. Both roles are in high demand and frequently searched for by employers and job seekers alike.

What does a remote developer do?

Remote developers, or remote software developers, design and create computer software programs and applications for their employer or client. Unlike in-house developers, remote developers work from home or another location outside of the office. As a remote developer, you discuss the kind of program you need to create, making sure to clarify with your department or with your client what they need in their application. You may develop an entirely new program or improve an existing one. Remote developers are responsible for a program’s overall function, and they design precise workflow charts that explain to programmers what code is needed for different aspects of the program. Remote developers may also design tests and protocols for the QA department to follow when they are testing the application.

What is a remote developer?

Remote developers are software professionals who work from locations outside of a traditional office environment, often from home or co-working spaces. They use digital tools to collaborate with team members and clients, writing code, fixing bugs, and participating in project meetings online. Remote developers enjoy flexibility in their work location and hours, but they also need strong communication skills and self-motivation. This role is popular in the tech industry, enabling companies to access talent from around the world.

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

To thrive as a Remote Developer, you need strong programming skills, problem-solving abilities, and experience with software development methodologies, often supported by a relevant degree or coding certifications. Familiarity with version control systems like Git, remote collaboration tools (e.g., Slack, Jira), and cloud-based development environments is typically required. Excellent self-motivation, time management, and clear written communication set standout remote developers apart. These skills and qualities are crucial for delivering high-quality code, collaborating effectively across distributed teams, and maintaining productivity independently.

What are some common challenges faced by remote developers, and how can they be managed effectively?

Remote developers often encounter challenges such as communication barriers, feelings of isolation, and managing work-life balance due to the lack of physical boundaries between home and work. To overcome these, it's important to establish clear communication channels with your team, set regular check-ins, and use collaboration tools effectively. Additionally, creating a dedicated workspace and setting defined work hours can help maintain productivity and personal well-being. Many companies also support remote developers through virtual team-building activities and flexible schedules.
More about Remote Developer jobs
What are the most commonly searched types of Developer jobs in Norfolk, VA? The most popular types of Developer jobs in Norfolk, VA are:
What job categories do people searching Remote Developer jobs in Norfolk, VA look for? The top searched job categories for Remote Developer jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Remote Developer jobs? Cities near Norfolk, VA with the most Remote Developer job openings:
Remote Developer jobs near you
Infographic showing various Remote Developer job openings in Norfolk, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $106,338 per year, or $51.1 per hour.

Senior MLOps & Generative AI Engineer - Remote

Sentara Healthcare

Virginia Beach, VA • On-site, Remote

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Sentara Health rating

6.8

Company rating: 6.8 out of 10

Based on 398 frontline employees who took The Breakroom Quiz

492nd of 887 rated healthcare providers

Job description

City/State
Virginia Beach, VA
Work Shift
Multiple shifts available
Overview:
Sentara is hiring a Senior MLOps & Generative AI Engineer!
This position is fully remote!
Candidates must reside in one of the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming.
Overview
We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence.
This role combines two critical focus areas:
  • MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities.
  • Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks.

As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments.
Key Responsibilities
MLOps Engineering Responsibilities
  • Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management.
  • Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments.
  • Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation.
  • Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads.
  • Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability.
  • Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes.
  • Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment.
  • Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code.
  • Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them.
  • Support enterprise AI governance, compliance, auditability, and model risk management requirements.
  • Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems.

Generative AI Engineering Responsibilities
  • Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies.
  • Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
  • Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability.
  • Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases.
  • Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics.
  • Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments.
  • Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications.
  • Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments.
  • Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows.
  • Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement.
  • Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives.
  • Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data.
  • Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices.

Required Qualifications
  • 5+ years of experience building and deploying production software, ML systems, or AI platforms.
  • 1+ years of hands-on experience building production Generative AI or LLM-based applications.
  • Strong programming skills in Python and experience with software engineering best practices.
  • Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent.
  • Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks.
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies.
  • Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP.
  • Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures.
  • Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure.
  • Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices.
  • Experience building monitoring, observability, and alerting solutions for ML and AI systems.
  • Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations.
  • Experience designing secure, scalable, production-ready AI platforms and services.
  • Strong communication and collaboration skills with the ability to work across technical and business teams.

Preferred Qualifications
  • Previous experience implementing Generative AI and MLOps solutions within healthcare environments.
  • Experience working with EPIC or healthcare interoperability platforms.
  • Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices.
  • Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling.
  • Experience with GPU infrastructure optimization and scalable inference architectures.
  • Familiarity with multi-agent AI systems and autonomous workflows.
  • Experience with event-driven architectures, streaming pipelines, and real-time inference systems.
  • Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies.
  • Experience with enterprise AI platform architecture and internal developer platforms.
  • Prior experience mentoring engineers and leading technical initiatives.

Education
  • 5+ years of relevant experience with a degree (Required)

or
  • 7+ years of relevant experience without a degree (Required)
  • Experience in lieu of Bachelor's Degree.

Certification/Licensure
  • No specific certification or licensure requirements

Experience
  • 5 to 7 years of relevant experience

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: 91,416.00 - 152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Keywords: Talroo-IT, MLOps, Gen AI, LLM, AWS, Azure, GCP, AI/ML, Python, PyTorch, Hugging Face Transformers, TensorFlow, RAG, EPIC, HIPAA, AI Governance
Benefits: Caring For Your Family and Your Career
• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to 10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance - 5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down - 10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission "to improve health every day," this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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