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Remote Hybrid Jobs in Reston, VA (NOW HIRING)

Terrestris LLC

System Administrator

Washington, DC · On-site +1

  • Medical

  • Retirement

  • PTO

This position is remote/hybrid; candidates must be willing to work on-site at the Central UNICOR office in Washington, DC when required; work hours are from Monday to Friday, 8 hours per day. Travel ...

Terrestris LLC

Network Administrator

Washington, DC · On-site +1

  • Medical

  • Retirement

  • PTO

This position is remote/hybrid; candidates must be willing to work on-site at the Central UNICOR office in Washington, DC when required; work hours are from Monday to Friday, 8 hours per day. Travel ...

Terrestris LLC

Junior Network Administrator

Washington, DC · On-site +1

  • Medical

  • Retirement

  • PTO

This position is remote/hybrid; candidates must be willing to work on-site at the Central UNICOR office in Washington, DC when required; work hours are from Monday to Friday, 8 hours per day. Travel ...

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All JobsHybrid JobsRemote Hybrid JobsRemote Hybrid Jobs in Reston, VA

Remote Hybrid information

How does a remote hybrid work schedule typically function, and what level of flexibility can I expect?

A Remote Hybrid position usually combines working from home with specified days or hours in the office, offering greater flexibility than fully on-site roles. The exact schedule may vary by employer and team needs—some companies set fixed in-office days, while others allow employees to choose when to come in for collaboration or meetings. This structure enables you to enjoy the benefits of remote work, like reduced commuting, while still fostering in-person connections and teamwork. It's important to clarify expectations with your prospective employer, as some positions may have well-defined policies while others offer more flexible arrangements to support work-life balance.

What is a remote hybrid?

A Remote Hybrid job is a work arrangement that combines both remote and in-office work. Employees typically split their time between working from home and attending the office on designated days or as needed. The exact schedule can vary depending on company policies, team needs, and job responsibilities. This model offers flexibility while maintaining opportunities for in-person collaboration.

What are the key skills and qualifications needed to thrive in the remote hybrid position, and why are they important?

To succeed in a Remote Hybrid role, you need strong time management, effective communication, and the ability to work independently as well as collaboratively, often supported by a relevant degree in your field. Familiarity with remote collaboration tools such as Slack, Zoom, Microsoft Teams, and shared project management systems like Asana or Trello is common, and some roles may require certifications specific to their industry. Adaptability, proactive problem-solving, and self-motivation are vital soft skills for balancing flexible work arrangements. These competencies enable professionals to remain productive and engaged, meet team goals, and smoothly transition between remote and in-office responsibilities.

What are the most commonly searched types of Hybrid jobs in Reston, VA?

The most popular types of Hybrid jobs in Reston, VA are:

What are popular job titles related to Remote Hybrid jobs in Reston, VA?

For Remote Hybrid jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Hybrid jobs in Reston, VA look for?

The top searched job categories for Remote Hybrid jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Hybrid jobs?

Cities near Reston, VA with the most Remote Hybrid job openings:

Remote Hybrid jobs near you
Infographic showing various Remote Hybrid job openings in Reston, VA as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.

AI Engineer - Financial Services Hybrid

RiskSpan

Washington, DC • On-site, Remote

Contractor

Re-posted 16 days ago

Job description

AI Engineer - Financial Services Remote / Hybrid

About RiskSpan

RiskSpan is a leading source of analytics, modeling, data, and risk management solutions for the Consumer and Institutional Finance industries. We serve banks, issuers of mortgage- and asset-backed securities, asset managers, servicers, and regulators with cutting-edge technology and deep domain expertise across credit, market, and operational risk.

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Position Overview We are seeking a hands-on AI Engineer to design, build, and deploy production-grade AI applications using AWS Bedrock, RAG architectures, and agent-based workflows. This role focuses on building real-world AI systems- chatbots, data analysis agents, and workflow automation solutions, integrating enterprise data and delivering scalable, reliable applications in AWS. The ideal candidate brings strong Python skills, cloud-native engineering experience, and a track record of shipping production AI systems end-to-end.

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Key Responsibilities

Design, build, and deploy AI-powered applications including chatbots, knowledge assistants, and workflow automation agents.

Implement end-to-end solutions covering data ingestion, transformation, prompt orchestration, model interaction, and cloud deployment.

Integrate AI systems with internal APIs, enterprise platforms, and data pipelines.

Design agent workflows with tool/function calling, branching logic, retries, and fallback handling.

Implement human-in-the-loop and approval-based workflows for regulated financial use cases.

Build multi-agent systems for validation, refinement, and complex task decomposition.

Design and implement RAG pipelines covering chunking, embeddings, retrieval, and grounding.

Work with structured and unstructured data using SQL, S3, and data pipeline tools.

Leverage AWS services (S3, Glue, Redshift, Lambda, ECS, Step Functions, SQS/SNS) for storage, transformation, and orchestration.

Monitor and improve AI systems for accuracy, latency, cost, and reliability.

Implement structured output validation, schema enforcement, and guardrails.

Evaluate model performance and iteratively improve grounding and output consistency.

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Required Qualifications

Strong experience building AI applications using LLMs (e.g., AWS Bedrock or equivalent platforms).

Hands-on experience with RAG architectures and retrieval pipelines.

Experience with vector databases, embeddings, and semantic search.

Demonstrated track record deploying production AI systems end-to-end - not just prototypes.

Solid Python programming skills (required).

Experience with core AWS services: Lambda, ECS, S3, Step Functions, SQS/SNS.

Strong SQL skills for querying and integrating structured data.

Experience integrating AI systems with APIs, databases, and cloud services.

Understanding of prompt engineering, tool/function calling, and structured outputs.

Strong problem-solving skills for building reliable systems around probabilistic AI behavior.

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Preferred Qualifications

Experience with AWS Bedrock AgentCore or similar agent orchestration frameworks.

Experience building multi-agent systems or advanced agent workflows.

Experience with AWS Glue, Redshift, EMR, or broader data engineering pipelines.

Experience with LLM evaluation frameworks and automated testing.

Knowledge of schema validation, guardrails, and output control techniques.

Experience with CI/CD, containerization, and infrastructure as code.

Background in financial services, regulated environments, or GSE/enterprise data platforms.

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Why RiskSpan? Join a team that combines deep industry expertise with cutting-edge analytics and AI to solve our clients' most complex challenges. At RiskSpan, we foster innovation, collaboration, and continuous growth.

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Equal Opportunity Employer RiskSpan is proud to be an Equal Opportunity/Affirmative Action employer committed to hiring a diverse workforce and sustaining an inclusive culture. Qualified candidates must be legally authorized to work in the United States on an unrestricted basis.

Employment Type: Contractor

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