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Freelance Remote Java Backend Developer Jobs in Maryland

Polar IT Services

Senior Java Developer

Baltimore, MD · Remote

$57 - $72.50/hr

I have an opening for a Senior Java Developer with a strong background in Life Sciences (must have ... Length: 6 months+ Location: 100% remote, EST schedule It's a W2 Role * 8-10 years of experience

Polar IT

Senior Java Developer

Baltimore, MD · Remote

$57 - $72.50/hr

I have an opening for a Senior Java Developer with a strong background in Life Sciences (must have ... Length: 6 months+ Location: 100% remote, EST schedule It's a W2 Role * 8-10 years of experience

Polar IT Services

Senior Java Developer

Baltimore, MD · Remote

$57 - $72.50/hr

I have an opening for a Senior Java Developer with a strong background in Life Sciences (must have ... Length: 6 months+ Location: 100% remote, EST schedule It's a W2 Role * 8-10 years of experience

Ariadne

NCBI Software Developer

Bethesda, MD · On-site +1

This opportunity is full time in Bethesda, MD and/or remote work. As a Software Developer, you will ... Work with the Software Development team on front-end and back-end software development tasks

BOOST LLC

Full Stack Developer

Silver Spring, MD · On-site +1

Develop and maintain backend business logic using Java EE / Jakarta EE frameworks and enterprise ... This role is Hybrid/Remote-friendly - Silver Spring, MD 20904 Technical Environment The developer ...

BOOST LLC

Full Stack Developer

Silver Spring, MD · On-site +1

Develop and maintain backend business logic using Java EE / Jakarta EE frameworks and enterprise ... This role is Hybrid/Remote-friendly Silver Spring, MD 20904 Technical Environment The developer ...

BCC-NIH

Software Developer

Bethesda, MD · On-site +1

This opportunity is full time in Bethesda, MD and/or remote work. As a Software Developer, you will ... Work with the Software Development team on front-end and back-end software development tasks

Confluent

Senior Software Engineer II

Annapolis, MD · On-site +1

$197K - $232K/yr

Remote Department Engineering Compensation: $197.4K - $232K • Offers Equity At Confluent, we are ... Deep proficiency in at least one major backend programming language (for example, Java, Go, C/C ...

NinjaOne

Senior Software Engineer, Java

Baltimore, MD · On-site +1

$150K - $220K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... We hire the best software engineers with experience in our stack: NinjaOne is built on Java ...

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Freelance Remote Java Backend Developer information

What are the key skills and qualifications needed to thrive as a Freelance Remote Java Backend Developer, and why are they important?

To thrive as a Freelance Remote Java Backend Developer, you need strong proficiency in Java, backend frameworks (such as Spring Boot), API development, and a solid understanding of databases, often supported by a degree in computer science or equivalent experience. Familiarity with tools like Git, Docker, cloud platforms (AWS, Azure), and CI/CD pipelines is typically required, and relevant certifications can be advantageous. Excellent problem-solving abilities, clear communication, and self-motivation help you deliver high-quality solutions and collaborate effectively with clients or distributed teams. These skills and qualities are crucial for delivering robust, scalable backend systems efficiently and maintaining client satisfaction in a remote freelance environment.

What does a Freelance Remote Java Backend Developer do?

A Freelance Remote Java Backend Developer is a software professional who specializes in building and maintaining the server-side logic, databases, and APIs for web or mobile applications, primarily using the Java programming language. Working remotely, they collaborate with clients or teams from different locations to deliver backend solutions that ensure the application's performance, scalability, and security. Their responsibilities often include designing and implementing RESTful APIs, integrating with third-party services, fixing bugs, and optimizing backend processes. As freelancers, they typically manage their own schedules and work with multiple clients or projects.

What are some common challenges faced by freelance remote Java backend developers, and how can they be addressed?

Freelance remote Java backend developers often encounter challenges such as managing communication across time zones, maintaining consistent code quality, and integrating smoothly with distributed teams. To address these, it’s important to establish clear communication channels, use collaboration tools like Slack or Jira, and adhere to standardized coding and documentation practices. Regularly syncing with the client and proactively sharing updates can help ensure alignment and reduce misunderstandings.
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Freelance Remote Java Backend Developer jobs near you
Artificial Intelligence (AI) Engineer - Backend Focus

Artificial Intelligence (AI) Engineer - Backend Focus

ExpediteInfoTech Inc

Rockville, MD • Remote

Other

Posted 11 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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