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Remote Rag Jobs in Remote, OR (NOW HIRING)

ASK Consulting

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Software Engineer Agentic AI Platform (277460)

OR · Remote

$70 - $75/hr

Remote across, US Duration: 06 Months (Estimated Start Date: 06/29/2026; Estimated End Date: 01/01 ... Vector search / RAG: OpenSearch, embeddings, retrieval evaluation. * FinOps or TokenOps: cost ...

Atos

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... Hands-on exposure to LLM-based ITSM agents and RAG (Retrieval-Augmented Generation) frameworks.

Atos

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... Hands-on exposure to LLM-based ITSM agents and RAG (Retrieval-Augmented Generation) frameworks.

Expion Health

AI Solutions Manager

Myrtle Point, OR · Remote

$130K - $150K/yr

Fully Remote Reports To: Business Transformation Lead Expion Health is building the future of ... Experience with RAG (retrieval-augmented generation), vector databases, or building AI tools that ...

Expion Health

AI Solutions Manager

OR · On-site +1

$130K - $150K/yr

Fully Remote Reports To: Business Transformation Lead Expion Health is building the future of ... Experience with RAG (retrieval-augmented generation), vector databases, or building AI tools that ...

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What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

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Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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Software Engineer Agentic AI Platform (277460)

Software Engineer Agentic AI Platform (277460)

ASK Consulting

OR • Remote

$70 - $75/hr

Contractor

Posted 4 days ago

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Job description

"All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment".


Job Title: Software Engineer Agentic AI Platform

Location: Remote across, US

Duration: 06 Months (Estimated Start Date: 06/29/2026; Estimated End Date: 01/01/2027)

Hours Per Week: 40.00; Hours Per Day: 8.00

PR Range for 3-5 years of experience: $70/hr - $75/hr on W2

PR Range for 5-7 years of experience:  $9o/hr - $95/hr on W2


Job Description:

About the role:

Were building Centralized Agentic AI Framework a shared platform that brings safe, governed, cost-aware AI agents into every teams GitLab workflow.

You'll be a hands-on engineer building and extending this platform writing the Lambdas that orchestrate agents, integrating Bedrock with GitLab CI, hardening the security and observability layers, and shipping new agent capabilities that any team can adopt without re-architecting.


What you'll do:

  • Build agent orchestration implement Router Lambdas, SQS-based queueing, and Bedrock Agent invocation
  • Integrate with GitLab CI/CD design .gitlab-ci.yml patterns where agent invocations run as pipeline stages, consume branch/diff/test context, emit artefacts, and gate downstream stages on agent pass/fail signals.
  • Develop shared Action Groups build the AWS Lambda-backed tools
  • Design Knowledge Bases iUtilise AWS Bedrock Knowledge Base / OpenSearch / S3 so agents reason over shared organizational context, not isolated prompts.
  • Implement Bedrock Guardrails input/output filters, sensitive-data scrubbing, content/word filters, and per-agent permission boundaries enforced by design.
  • Implement TokenOps controls model tiering and routing via an LLM gateway, semantic caching, context-window management
  • Instrument everything in AWS CloudWatch dashboards, audit trails, trace logging of every agent invocation (input, output, decision, tokens, cost) for compliance and debugging.

Required (37 years of professional experience):

  • Strong Python, AWS SDK Python for building production Lambda functions and event-driven services.
  • Solid AWS experience: Lambda, API Gateway, SQS, EventBridge, IAM, Secrets Manager, CloudWatch.
  • Amazon Bedrock specifically: Agents, Action Groups, Knowledge Bases, Guardrails.
  • Hands-on experience integrating with LLM APIs Bedrock, OpenAI, Anthropic, or similar.
  • Familiarity with CI/CD platforms GitLab CI strongly
  • A security mindset: least-privilege IAM, secrets handling, input validation, awareness of prompt injection and data-leak risks in LLM workflows.
  • Comfortable with observability structured logging, metrics, tracing and writing code that's debuggable in production.


Skills: Nice to have:

  • Vector search / RAG: OpenSearch, embeddings, retrieval evaluation.
  • FinOps or TokenOps: cost attribution, model routing, semantic caching, batch inference.
  • Experience building developer platforms or internal tooling youve shipped something other engineers depend on daily.
  • Familiarity with agent frameworks (Bedrock AgentCore) and their tradeoffs.


How you work:

  • You write small, focused services with clear contracts not monoliths.
  • You treat extensibility as a feature: new triggers/agents/tools shouldnt require touching unrelated layers.
  • You think about the developer experience of the teams wholl use your platform, not just whether the code runs.
  • Your'e comfortable with ambiguity agentic systems are non-deterministic, and you debug them empirically.


About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities

ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.