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Remote Github Software Engineer Jobs in Frederick, MD

Leidos

IT Security Engineer

Rockville, MD · On-site +1

$107K - $195K/yr

Percentage of remote work will vary based on client requirements/deliverables. In this role, you will collaborate closely with ISSOs, ISSSMs, software engineers, software developers, system engineers ...

Leidos

IT Security Engineer

Gaithersburg, MD · On-site +1

$107K - $195K/yr

Percentage of remote work will vary based on client requirements/deliverables. In this role, you will collaborate closely with ISSOs, ISSSMs, software engineers, software developers, system engineers ...

Quora

iOS Engineer -Remote

Gaithersburg, MD · Remote

$166K - $191K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

iOS Engineer -Remote

Rockville, MD · Remote

$166K - $191K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

iOS Engineer -Remote

Frederick, MD · Remote

$166K - $191K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

iOS Engineer -Remote

Hagerstown, MD · Remote

$166K - $191K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Hagerstown, MD · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Rockville, MD · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Gaithersburg, MD · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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All JobsRemote Github Software Engineer JobsRemote Github Software Engineer Jobs in Frederick, MD

Remote Github Software Engineer information

See Frederick, MD salary details

$63.1K

$146.7K

$204.3K

How much do remote github software engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote github software engineer in Frederick, MD is $146,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $172,000.00 per year, depending on experience, location, and employer.

How does a Remote Github Software Engineer typically collaborate with team members across different time zones?

As a Remote Github Software Engineer, effective collaboration often relies on asynchronous communication tools like GitHub Issues, Pull Requests, and project boards. Regularly updating documentation, leaving detailed code reviews, and participating in scheduled virtual meetings help ensure everyone stays aligned despite time differences. Strong written communication skills are essential, as much of the collaboration happens through comments and documentation rather than real-time discussions. This setup fosters flexibility but also requires proactive communication to avoid misunderstandings and project delays.

What does a Remote Github Software Engineer do?

A Remote Github Software Engineer is responsible for designing, developing, and maintaining software applications, typically using the GitHub platform for version control and collaboration. They work from a remote location, collaborating with team members through online tools and repositories. Their tasks often include writing code, reviewing pull requests, managing issues, and ensuring the quality and security of software projects. Effective communication and strong problem-solving skills are essential for success in this role.

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

To thrive as a Remote Github Software Engineer, you need strong coding abilities (often in languages like Ruby, Go, or JavaScript), experience with version control systems, and a solid understanding of software development principles, typically backed by a relevant degree or significant professional experience. Familiarity with GitHub's ecosystem, CI/CD pipelines, cloud platforms, and tools like Docker or Kubernetes is crucial, along with knowledge of automated testing frameworks. Exceptional written communication, self-motivation, and collaboration skills are essential for effective teamwork and problem-solving in a remote environment. These skills and qualities ensure you can contribute high-quality code, coordinate with distributed teams, and deliver reliable software solutions efficiently.
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Remote Github Software Engineer jobs near you
Artificial Intelligence (AI) Engineer - Backend Focus

Artificial Intelligence (AI) Engineer - Backend Focus

ExpediteInfoTech Inc

Rockville, MD • Remote

Other

Posted 9 days ago

Job description

Job Title: Artificial Intelligence (AI) Engineer - Backend Focus
Client: Federal Government
Location: Remote with occasional travel to the client site in Baltimore. Candidates must currently live within a commutable distance of the office.
Employment Type: W2 on ExpediteInfoTech's payroll. This position requires a Permanent resident or a U.S. citizen. The selected candidate will go through a Public Trust Clearance process.
About ExpediteInfoTech: ExpediteInfoTech is a trusted federal contractor focused on leveraging emerging technologies to modernize systems, enhance security, and drive operational efficiency across government agencies. We work with clients across AI/ML, RPA, Cloud, Enterprise Architecture, Cybersecurity, Health IT infrastructure, and Federal Financial systems-all delivered through a hands-on, collaborative, results-driven approach. Our core values are collaborative innovation, quality service, and exceeding expectations. https://expediteinfotech.com/)
Position Summary: A backend-focused AI engineer responsible for developing secure, scalable, and production-grade AI applications, with deep experience in LLM integration, retrieval-augmented generation (RAG) pipelines, including Graph-RAG, Agentic AI, and cloud-based LLM Ops workflows. The role emphasizes Amazon SageMaker Studio, ECS, ECR, lambdas, Agentic Core, APIs, OpenSearch Vector DB, and Dynamo DB for operationalizing GenAI-powered Digital Products within FedRAMP-compliant AWS environments.
Responsibilities:
AI Solution Development:
  • Expert hands-on building of RAG and Graph-RAG architectures to handle multiple complex data formats (PDF, images, tables, Word documents, Excel, acronyms, attachments, etc.) to create cleansed standardized data for hydration into a vector database.
  • Expert hands-on knowledge on text embeddings, image embeddings, chunking logic, metadata creation, and embedding vectors indexing.
  • Expert hands-on knowledge in creating a highly accurate RAG retrieval system with knowledge on reranking, semantic search, similarity search, hybrid search, etc., to search by text or images.
  • Implement secure, scalable, highly accurate RAG, Agentic AI pipelines using LangChain, Strands, MCP, A2A frameworks, or AWS-native services like Bedrock, Agentic Core, OpenSearch Vector Database, and Knowledgebase.
  • Create backend infrastructure for chatbot applications with long-term and short-term memory capabilities to improve user experience.
  • Hands-on knowledge of creating APIs, Graph-RAG, develop agentic AI workflows with MCPs, A2A, and Skills.
AI/ML Skills:
  • Experience operationalizing AI/ML pipelines in SageMaker Studio with model governance
  • Experience with Amazon - Bedrock, Agentic Core, OpenSearch Vector Database, knowledgebase, lambda, API Gateway, FASTAPIs or Flask, SQS, SNS, Step functions, DynamoDB, RDS/Postgres SQL, ECS, ECR, IAM, CloudWatch, and EKS or Fargate.
  • Frameworks: LangChain, LangFuse, LlamaIndex, Strands, RAGAS, CrewAI, MCP, and A2A.
  • Prompt engineering, LLM evaluation methodologies, bias detection, and hallucination detection.
LLM Integration & LLM Ops:
  • Integrate multiple LLMs via APIs (AWS Bedrock: Anthropic - Claude, Titan, Llama, Stability Diffusion models)
  • Implement structured prompt engineering frameworks, response evaluation tools, and feedback loops
  • Build model optimization layers, including prompt selectors, model switchers, and cache layers
Cloud Infrastructure & Deployment:
  • Deploy AI services using SageMaker, ECS, Lambdas, Agentic Core, and Elastic Load Balancers
  • Containerize backend systems with Docker and deploy to scalable environments using ECS/EKS
  • Implement CI/CD pipelines via GitHub Actions integrated with AWS Systems Manager and CodePipeline
  • Architect solutions for VPC isolation, IAM hardening, and FedRAMP High compliance
System Integration & Maintenance:
  • Integrate AI workflows with enterprise databases, legacy platforms, and identity providers
  • Monitor service performance, GPU utilization, and system health via CloudWatch and custom logging
  • Build automated testing pipelines for model accuracy, bias detection, and system robustness
  • Maintain technical documentation and developer runbooks for long-term system support
Work Environment:
  • Remote-first with collaborative engagements and occasional client travel
  • Mission-focused development aligned with executive priorities
  • Continuous learning and rapid prototyping of cutting-edge AI technologies
  • Agile delivery culture with strong cross-functional collaboration
Required:
Required / Minimum Qualifications
  • 10+ years of IT experience.
  • 3+ years of experience as an AI Engineer
  • 3+ years of experience in AWS
  • AWS Services: Graph RAG, Bedrock Agentic Core, Agentic AI, EC2 (GPU-enabled), SageMaker (Studio, Pipelines, Endpoints, Model Registry), Bedrock, OpenSearch Vector DB, Systems Manager, Load Balancers, Amazon - Bedrock, OpenSearch Vector Database, knowledgebase, lambda, API Gateway, FASTAPIs or Flask, SQS, SNS, Step functions, DynamoDB, RDS/Postgres SQL, and EKS or Fargate
  • Proficient in coding: Python (async, FastAPI, LangChain, Transformers) and Terraform
  • DevSecOps: Docker, GitHub, GitHub Actions, CI/CD pipelines
  • Cloud-Native Development: Infrastructure-as-Code, cloud monitoring, and security policies
Preferred:
Preferred / Nice-to-Have Qualifications
  • Experience with React or other frontend frameworks for full-stack AI interfaces (Streamlit, ReactJS, JavaScript, Typescript, HTML, and CSS)
  • Government/federal sector AI solution experience with FedRAMP High or FISMA
  • Bachelor's or equivalent in Computer Science, Software Engineering, AI/ML, or related technical field
  • AWS certifications (Machine Learning Specialty, Solutions Architect) a strong plus
  • Experience using AI coding assistant tools like OpenAI Codex and Claude Code.

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