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.
... 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 ...
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 ...
Gen AI Developer
Seattle, WA · On-site
$120K - $150K/yr
... RAG (Retrieval-Augmented Generation) techniques. • Strong understanding of natural language ... programming language Python. • Strong analytical and problem-solving skills. Roles ...
Gen AI Developer
Seattle, WA · On-site
$120K - $150K/yr
... RAG (Retrieval-Augmented Generation) techniques. • Strong understanding of natural language ... programming language Python. • Strong analytical and problem-solving skills. Roles ...
Software Engineer, Search and RAG Applications
Seattle, WA · On-site
$150 - $225/hr
Software Engineer, Search and RAG Applications Santa Clara, California, United States Machine Learning and AI At Apple, individual imaginations come together to build innovative products, services ...
Software Engineer, Search and RAG Applications
Seattle, WA · On-site
$150 - $225/hr
Software Engineer, Search and RAG Applications Santa Clara, California, United States Machine Learning and AI At Apple, individual imaginations come together to build innovative products, services ...
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 Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings| vector ...
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 Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings| vector ...
Lead Java Backend Developer - Bellevue, WA Onsite
Bellevue, WA · On-site
$57 - $74/hr
Lead Java Backend Developer Location : Bellevue, WA Onsite (should be ready to relocate) Duration ... Experience in RAG implementation
Quick apply
Lead Java Backend Developer - Bellevue, WA Onsite
Bellevue, WA · On-site
$57 - $74/hr
Lead Java Backend Developer Location : Bellevue, WA Onsite (should be ready to relocate) Duration ... Experience in RAG implementation
Python Developer
Bellevue, WA · On-site
$56.75 - $78.25/hr
Here is the JD for Python Developer I am looking for: * Bachelor's degree in computer science ... Experience in AI/ML, LLMs, Rag.
Python Developer
Bellevue, WA · On-site
$56.75 - $78.25/hr
Here is the JD for Python Developer I am looking for: * Bachelor's degree in computer science ... Experience in AI/ML, LLMs, Rag.
Senior .NET Developer
Bellevue, WA · On-site
$62 - $79/hr
Azure DevOps; GEN AI and RAG; Microsoft Copilot; CI/CD; Solid Principles Roles & Responsibilities * Collaborate with business stakeholders to understand business requirements and translate them into ...
New
Quick apply
Senior .NET Developer
Bellevue, WA · On-site
$62 - $79/hr
Azure DevOps; GEN AI and RAG; Microsoft Copilot; CI/CD; Solid Principles Roles & Responsibilities * Collaborate with business stakeholders to understand business requirements and translate them into ...
New
Senior .NET Developer
Bellevue, WA · On-site
$80K - $115K/yr
Azure DevOps; GEN AI and RAG; Microsoft Copilot; CI/CD; Solid Principles Roles & Responsibilities • Collaborate with business stakeholders to understand business requirements and translate them ...
New
Senior .NET Developer
Bellevue, WA · On-site
$80K - $115K/yr
Azure DevOps; GEN AI and RAG; Microsoft Copilot; CI/CD; Solid Principles Roles & Responsibilities • Collaborate with business stakeholders to understand business requirements and translate them ...
New
Senior .NET Developer ( Azure, Gen AI Exp.)
Bellevue, WA · On-site
$137K - $184K/yr
Azure DevOps; GEN AI and RAG; Microsoft Copilot; CI/CD; Solid Principles Roles & Responsibilities • Collaborate with business stakeholders to understand business requirements and translate them ...
New
Senior .NET Developer ( Azure, Gen AI Exp.)
Bellevue, WA · On-site
$137K - $184K/yr
Azure DevOps; GEN AI and RAG; Microsoft Copilot; CI/CD; Solid Principles Roles & Responsibilities • Collaborate with business stakeholders to understand business requirements and translate them ...
New
AI/ML Engineer - Remote
Seattle, WA · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
New
Quick apply
AI/ML Engineer - Remote
Seattle, WA · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
New
AI/ML Engineer - Remote
Seattle, WA · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
New
Quick apply
AI/ML Engineer - Remote
Seattle, WA · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
New
Fullstack Agentic AI developers Location: Redmond, WA (Hybrid) Your Primary Focus * Monitor ... Ensure the Agent uses RAG and MCP to check Microsoft's legal and compliance rules before taking any ...
Quick apply
Fullstack Agentic AI developers Location: Redmond, WA (Hybrid) Your Primary Focus * Monitor ... Ensure the Agent uses RAG and MCP to check Microsoft's legal and compliance rules before taking any ...
AI Engineer Intern
Bellevue, WA · On-site
$82.66 - $165.31/hr
RAG, LLM Integration, Function Calling, AWS Bedrock, MCP/A2A Build AI-powered features for B2B SaaS that handle real customer data securely. This is practical AI engineering, not research--you'll ...
AI Engineer Intern
Bellevue, WA · On-site
$82.66 - $165.31/hr
RAG, LLM Integration, Function Calling, AWS Bedrock, MCP/A2A Build AI-powered features for B2B SaaS that handle real customer data securely. This is practical AI engineering, not research--you'll ...
Senior AI Engineer
Bellevue, WA · On-site
$62 - $80/hr
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
$62 - $80/hr
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 ...
Lead AWS DevOps Engineer ? GenAI (No C2C)
Bellevue, WA · On-site
$59.50 - $81.50/hr
Strong hands-on experience with AWS and DevOps. * Experience developing and deploying Generative AI ... Experience with LLM orchestration, AI agents/skills, RAG, evaluation, and operational monitoring.
Lead AWS DevOps Engineer ? GenAI (No C2C)
Bellevue, WA · On-site
$59.50 - $81.50/hr
Strong hands-on experience with AWS and DevOps. * Experience developing and deploying Generative AI ... Experience with LLM orchestration, AI agents/skills, RAG, evaluation, and operational monitoring.
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 ...
Rag Developer information
What is the difference between Rag Developer vs Textile Technician?
| Aspect | Rag Developer | Textile Technician |
|---|---|---|
| Credentials | Typically requires a diploma or degree in textiles or related field | Requires similar qualifications, often with additional certifications in textile testing |
| Work Environment | Factories, textile mills, production plants | Laboratories, quality control departments, manufacturing facilities |
| Industry Usage | Used in textile manufacturing to develop and process rags for reuse or recycling | Involved in testing, quality assurance, and technical support in textile production |
Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.
What are popular job titles related to Rag Developer jobs in Seattle, WA?
For Rag Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Seattle, WA look for?
The top searched job categories for Rag Developer jobs in Seattle, WA are:
Generative AI Applications Engineer (Agents & RAG)
Seattle, WA • On-site
Accenture Federal Services •
IT Services • 10K+ employees10,000+ employees
8.7
Based on 20 frontline employees who took The Breakroom Quiz
50th of 499 rated business services
People enjoy working here
Good employer
Recommended by parents
Respectful managers
Learn new skills
Full-time
Re-posted 29 days ago
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.
About Accenture Federal Services
Sourced by ZipRecruiter
Industry
It services
Company size
10,000+ Employees
Headquarters location
Arlington, VA, US
Year founded
1989
Website
What Accenture Federal Services employees say
Pay
Benefits
Hours and flexibility
Workplace
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