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Remote Java Backend Developer Jobs in Columbia, MD

ACI Infotech

Full-stack Developer

Reston, VA · On-site +1

Remote Duration: 12 Months (Potential for Extension) Candidate Skillset: Frontend: * JavaScript ... SSO Patterns Backend: * Java / Kotlin / Python * Spring Framework / Boot / Integration ...

asrcfh

Senior Java Developer

Reston, VA · Remote

$59.50 - $76/hr

ASRC Federal Arctic Slope Mission Services' is seeking a Java Developer with experience in building ... Work Arrangement: Remote Clearance: US Citizen (ability to obtain a Public Trust) and to ...

asrcfh

Senior Java Developer

Reston, VA · Remote

$59.50 - $76/hr

ASRC Federal Arctic Slope Mission Services' is seeking a Java Developer with experience in building ... Work Arrangement: Remote Clearance: US Citizen (ability to obtain a Public Trust) and to ...

Ad Hoc

Senior DevOps Engineer

Mclean, VA · Remote

$131K - $168K/yr

Remote with Preference for Greenbelt, MD Job number : 854 Travel: Occasional Travel Required for ... maintain Java-based backend services and integrations • Build and support RESTful APIs and ...

Karsun Solutions LLC

Java Developer

Arlington, VA · On-site +1

$58.75 - $76/hr

The possibility to work remote 2 days/week may become available, depending on candidate performance ... Engineering/ Information Systems/Information Technology or related Field. * 7-9 years of Java/J2EE ...

McBride

Senior Full Stack Java Developer

Vienna, VA · Remote

$135K - $140K/yr

This is a remote position. McBride Consulting is seeking an experienced Senior Full Stack Java Developer to support enterprise-level application development initiatives within a fast-paced financial ...

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Remote Java Backend Developer information

See Columbia, MD salary details

$10

$54

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How much do remote java backend developer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote java backend developer in Columbia, MD is $54.22, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $62.50 per hour, depending on experience, location, and employer.

What is a Remote Java Backend Developer job?

A Remote Java Backend Developer designs, develops, and maintains server-side applications using Java while working from a remote location. They focus on building APIs, handling databases, and ensuring performance and security. This role often involves working with frameworks like Spring Boot and integrating various services. Remote developers collaborate with teams using communication tools and manage tasks through agile methodologies.

What are the key skills and qualifications needed to thrive in the Remote Java Backend Developer position, and why are they important?

To thrive as a Remote Java Backend Developer, you need solid expertise in Java programming, object-oriented design, and backend frameworks such as Spring, often supported by a bachelor’s degree in computer science or a related field. Familiarity with databases (like MySQL or MongoDB), version control systems (such as Git), and experience with RESTful APIs are typically important, with professional certifications like Oracle Certified Professional Java Programmer being advantageous. Excellent problem-solving abilities, clear remote communication, and collaborative teamwork skills are vital soft skills for this remote role. These capabilities are crucial for delivering reliable backend solutions, meeting project deadlines, and maintaining effective team collaboration across distributed work environments.

What are the typical daily responsibilities of a Remote Java Backend Developer?

As a Remote Java Backend Developer, your daily responsibilities often include designing, developing, and maintaining server-side logic and APIs, writing efficient and testable code using Java and related frameworks, and collaborating with front-end developers or DevOps engineers to integrate user-facing elements. You’ll regularly participate in remote team meetings, contribute to code reviews, and troubleshoot or optimize application performance based on user requirements. Additionally, keeping thorough documentation and adhering to best security and scalability practices are part of your routine. These tasks ensure the backend systems remain robust, efficient, and seamlessly support business needs.

What are the most commonly searched types of Java Backend Developer jobs in Columbia, MD? The most popular types of Java Backend Developer jobs in Columbia, MD are:
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What job categories do people searching Remote Java Backend Developer jobs in Columbia, MD look for? The top searched job categories for Remote Java Backend Developer jobs in Columbia, MD are:
What cities near Columbia, MD are hiring for Remote Java Backend Developer jobs? Cities near Columbia, MD with the most Remote Java Backend Developer job openings:
Remote Java Backend Developer jobs near you
Infographic showing various Remote Java Backend Developer job openings in Columbia, MD as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,768 per year, or $54.2 per hour.
Artificial Intelligence (AI) Engineer - Backend Focus

Artificial Intelligence (AI) Engineer - Backend Focus

ExpediteInfoTech Inc

Rockville, MD • Remote

Other

Posted 13 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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