The Generative AI Applications Engineer will be responsible for developing secure and scalable GenAI applications, focusing on agentic workflows and RAG systems for various federal missions.
The Generative AI Applications Engineer will be responsible for developing secure and scalable GenAI applications, focusing on agentic workflows and RAG systems for various federal missions.
The Generative AI Applications Engineer will develop secure and scalable GenAI applications ... Build agentic workflows and RAG systems tailored to mission data and environments; target low ...
The Generative AI Applications Engineer will develop secure and scalable GenAI applications ... Build agentic workflows and RAG systems tailored to mission data and environments; target low ...
... and SRE to ship features safely and at scale. What You'll Do (Day to Day) * Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments ...
... and SRE to ship features safely and at scale. What You'll Do (Day to Day) * Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments ...
... and SRE to ship features safely and at scale. What You'll Do (Day to Day) * Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments ...
... and SRE to ship features safely and at scale. What You'll Do (Day to Day) * Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments ...
... and SRE to ship features safely and at scale. What You'll Do (Day to Day) * Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments ...
... and SRE to ship features safely and at scale. What You'll Do (Day to Day) * Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments ...
... and SRE to ship features safely and at scale. What You'll Do (Day to Day) * Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments ...
... and SRE to ship features safely and at scale. What You'll Do (Day to Day) * Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments ...
Develop RAG-based chatbots and AI assistants * Fine-tune LLMs * Work with Python * Deploy AI ... Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and ...
Develop RAG-based chatbots and AI assistants * Fine-tune LLMs * Work with Python * Deploy AI ... Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and ...
Senior AI Engineer
Bellevue, WA · On-site
$75K - $85K/yr
The ideal candidate will have strong backend/full-stack engineering expertise, hands-on experience building LLM-powered applications, RAG architectures, agentic workflows, and enterprise-scale data ...
Quick apply
Senior AI Engineer
Bellevue, WA · On-site
$75K - $85K/yr
The ideal candidate will have strong backend/full-stack engineering expertise, hands-on experience building LLM-powered applications, RAG architectures, agentic workflows, and enterprise-scale data ...
SRE Engineer
Redmond, WA · On-site
$63.75 - $84.75/hr
Deploy and manage AI resources on Microsoft Azure, including AI Foundry and RAG solutions * Monitor and ensure service uptime, availability, reliability, and latency * Track and integrate SRE metrics ...
Quick apply
SRE Engineer
Redmond, WA · On-site
$63.75 - $84.75/hr
Deploy and manage AI resources on Microsoft Azure, including AI Foundry and RAG solutions * Monitor and ensure service uptime, availability, reliability, and latency * Track and integrate SRE metrics ...
AI Engineer
Seattle, WA · On-site +1
Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc * Experience in working with structured as well as ...
AI Engineer
Seattle, WA · On-site +1
Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc * Experience in working with structured as well as ...
Azure AI/ML Engineer
Bellevue, WA · On-site
$62 - $77/hr
... DevOps,Docker,Kubernetes Role Descriptions: 8 years of Strong proficiency in Python| C| or Java ... RAG-based systems and implement RAG pipelines using embeddings| vector search| and LLMsSolid ...
Quick apply
Azure AI/ML Engineer
Bellevue, WA · On-site
$62 - $77/hr
... DevOps,Docker,Kubernetes Role Descriptions: 8 years of Strong proficiency in Python| C| or Java ... RAG-based systems and implement RAG pipelines using embeddings| vector search| and LLMsSolid ...
SRE Engineer -AI
Redmond, WA · On-site
$63.75 - $84.75/hr
Deploy and manage AI resources on Microsoft Azure, including AI Foundry and RAG solutions Monitor and ensure service uptime, availability, reliability, and latency Track and integrate SRE metrics ...
Quick apply
SRE Engineer -AI
Redmond, WA · On-site
$63.75 - $84.75/hr
Deploy and manage AI resources on Microsoft Azure, including AI Foundry and RAG solutions Monitor and ensure service uptime, availability, reliability, and latency Track and integrate SRE metrics ...
Senior AI Engineer - Privacy
Bellevue, WA · On-site
$117K - $162K/yr
Senior AI Engineer - Privacy Location: Bellevue, WA (Onsite from Day 1) Job Type: Contract Must ... Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g.
Quick apply
Senior AI Engineer - Privacy
Bellevue, WA · On-site
$117K - $162K/yr
Senior AI Engineer - Privacy Location: Bellevue, WA (Onsite from Day 1) Job Type: Contract Must ... Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g.
AI Engineer
$115K - $231K/yr
The AI Engineer partners closely with AI Business Partners and the AI Solutions Architect to ... Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ...
AI Engineer
$115K - $231K/yr
The AI Engineer partners closely with AI Business Partners and the AI Solutions Architect to ... Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ...
AI Engineer
Bothell, WA · On-site
$115K - $231K/yr
The AI Engineer partners closely with AI Business Partners and the AI Solutions Architect to ... Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ...
AI Engineer
Bothell, WA · On-site
$115K - $231K/yr
The AI Engineer partners closely with AI Business Partners and the AI Solutions Architect to ... Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ...
FORWARD DEPLOYMENT ENGINEER
Bellevue, WA · On-site
SpiceOrb is looking for Senior / Staff Forward Deployment Engineer Location: Bellevue, WA (Onsite ... AI Agent Frameworks / RAG * Data Pipelines * Snowflake or Databricks * SQL * API Integration
FORWARD DEPLOYMENT ENGINEER
Bellevue, WA · On-site
SpiceOrb is looking for Senior / Staff Forward Deployment Engineer Location: Bellevue, WA (Onsite ... AI Agent Frameworks / RAG * Data Pipelines * Snowflake or Databricks * SQL * API Integration
AI Engineer
$115K - $231K/yr
The AI Engineer plays a critical hands-on role in bringing Verathon's AI strategy to life. This ... Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ...
AI Engineer
$115K - $231K/yr
The AI Engineer plays a critical hands-on role in bringing Verathon's AI strategy to life. This ... Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ...
As a Backend Software Engineer at Rune, you will design and implement production-grade GenAI ... Responsibilities : • Design, build, and deploy production-grade GenAI systems -- including RAG ...
As a Backend Software Engineer at Rune, you will design and implement production-grade GenAI ... Responsibilities : • Design, build, and deploy production-grade GenAI systems -- including RAG ...
Principal Engineer -Intelligent Document & Context Grounding
Bellevue, WA · On-site
$190 - $240/hr
Principal Software Engineer - Intelligent Document Processing & Context Grounding Build the AI ... Strong understanding of modern retrieval systems including RAG, embeddings, vector search ...
Principal Engineer -Intelligent Document & Context Grounding
Bellevue, WA · On-site
$190 - $240/hr
Principal Software Engineer - Intelligent Document Processing & Context Grounding Build the AI ... Strong understanding of modern retrieval systems including RAG, embeddings, vector search ...
Principal Engineer -Intelligent Document & Context Grounding
Bellevue, WA · On-site
$180 - $240/hr
Principal Software Engineer - Intelligent Document Processing & Context Grounding Build the AI ... Strong understanding of modern retrieval systems including RAG, embeddings, vector search ...
Principal Engineer -Intelligent Document & Context Grounding
Bellevue, WA · On-site
$180 - $240/hr
Principal Software Engineer - Intelligent Document Processing & Context Grounding Build the AI ... Strong understanding of modern retrieval systems including RAG, embeddings, vector search ...
Rag Engineer information
See Seattle, WA salary details
$77.4K is the 25th percentile. Wages below this are outliers.
$67.8K - $77.5K
25% of jobs
The median wage is $86.6K / yr.
$77.5K - $87.2K
26% of jobs
$87.2K - $96.9K
6% of jobs
$96.9K - $106.7K
8% of jobs
$114.7K is the 75th percentile. Wages above this are outliers.
$106.7K - $116.4K
11% of jobs
$116.4K - $126.1K
11% of jobs
$126.1K - $135.9K
6% of jobs
$135.9K - $145.6K
4% of jobs
$145.6K - $155.3K
1% of jobs
$155.3K - $165.1K
0% of jobs
$165.1K - $174.8K
1% of jobs
$67.8K
$103.1K
$174.8K
How much do rag engineer jobs pay per year?
As of Aug 18, 2026, the average yearly pay for rag engineer in Seattle, WA is $103,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $119,600.00 per year, depending on experience, location, and employer.
What is the difference between Rag Engineer vs Textile Technician?
| Aspect | Rag Engineer | Textile Technician |
|---|---|---|
| Required Credentials | Engineering degree, technical certifications | Diploma or degree in textiles or related field |
| Work Environment | Factories, manufacturing plants, R&D labs | Textile mills, production facilities, quality control labs |
| Industry Usage | Designing and improving rag production processes | Monitoring textile quality, testing fabrics |
While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.
How to become a rag engineer?
To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.
What are popular job titles related to Rag Engineer jobs in Seattle, WA?
For Rag Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Seattle, WA look for?
The top searched job categories for Rag Engineer jobs in Seattle, WA are:
Full-time
Re-posted 18 days ago
Accenture Federal Services rating
8.7
Based on 20 frontline employees who took The Breakroom Quiz
47th of 492 rated business services
Job description
Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through technology and innovation. The Generative AI Applications Engineer will be responsible for developing secure and scalable GenAI applications, focusing on agentic workflows and RAG systems for various federal missions.
Responsibilities:
• Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost.
• Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies.
• Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma).
• LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback.
• RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise.
• Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails.
• SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend.
• Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects.
• Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls.
Qualifications:
Required:
• End-to-end ownership of production systems: integration → deployment → observability → incident response.
• Hands-on experience with LLMs, transformer based apps, and RAG in production.
• Strong Python
• Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma) and grounding AI in enterprise/mission data.
• U.S. Citizenship
Preferred:
• Integration with leading cloud AI services or on prem inference stacks
• Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops.
• Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance.
• Experience implementing tool using agents for API integration and external data access.
• Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell).
• Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping.
• Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude).
• Contributions to internal frameworks or opensource; mentorship of engineers.
• Clear communication with engineers, PMs, and security/compliance stakeholders.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through technology and innovation. The Generative AI Applications Engineer will be responsible for developing secure and scalable GenAI applications, focusing on agentic workflows and RAG systems for various federal missions.
Responsibilities:
• Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost.
• Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies.
• Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma).
• LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback.
• RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise.
• Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails.
• SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend.
• Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects.
• Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls.
Qualifications:
Required:
• End-to-end ownership of production systems: integration → deployment → observability → incident response.
• Hands-on experience with LLMs, transformer based apps, and RAG in production.
• Strong Python
• Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma) and grounding AI in enterprise/mission data.
• U.S. Citizenship
Preferred:
• Integration with leading cloud AI services or on prem inference stacks
• Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops.
• Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance.
• Experience implementing tool using agents for API integration and external data access.
• Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell).
• Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping.
• Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude).
• Contributions to internal frameworks or opensource; mentorship of engineers.
• Clear communication with engineers, PMs, and security/compliance stakeholders.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Accenture Federal Services employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Accenture Federal Services
Sourced by ZipRecruiter
Industry
It services
Company size
10,000+ Employees
Headquarters location
Arlington, VA, US
Year founded
1989