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 ...
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
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 ...
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 ...
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 ...
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 ...
Java Developer + AWS-Bellevue, WA (Onsite)
Bellevue, WA · On-site
$57.50 - $74.50/hr
Java Developer + AWS (Forward Deployed Engineer) Location: Bellevue, WA (Onsite) Summary of Key ... RAG), fine-tuning, vector databases, and agent orchestration frameworks (LangGraph, CrewAI ...
Java Developer + AWS-Bellevue, WA (Onsite)
Bellevue, WA · On-site
$57.50 - $74.50/hr
Java Developer + AWS (Forward Deployed Engineer) Location: Bellevue, WA (Onsite) Summary of Key ... RAG), fine-tuning, vector databases, and agent orchestration frameworks (LangGraph, CrewAI ...
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 ...
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 ...
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 ...
Senior AI Engineer - Privacy
Bellevue, WA · On-site
$117K - $162K/yr
Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g ... Build and maintain CI/CD pipelines for AI model deployment using GitLab or Azure DevOps, applying ...
Quick apply
Senior AI Engineer - Privacy
Bellevue, WA · On-site
$117K - $162K/yr
Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g ... Build and maintain CI/CD pipelines for AI model deployment using GitLab or Azure DevOps, applying ...
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 ...
Familiarity with vector databases, RAG architecture, or prompt engineering for processing technical documentation.
Quick apply
Familiarity with vector databases, RAG architecture, or prompt engineering for processing technical documentation.
Familiarity with vector databases, RAG architecture, or prompt engineering for processing technical documentation
Quick apply
Familiarity with vector databases, RAG architecture, or prompt engineering for processing technical documentation
Software Developer 4
Seattle, WA · On-site
LLMs, embeddings, vector search, RAG pipelines, and fine-tuning * Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow * Distributed systems and large-scale training/inference * Handling ...
Software Developer 4
Seattle, WA · On-site
LLMs, embeddings, vector search, RAG pipelines, and fine-tuning * Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow * Distributed systems and large-scale training/inference * Handling ...
Sr. Backend Engineer - Python/Java & Kafka C2C contract
Bellevue, WA · On-site
$140 - $190/hr
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent ...
New
Sr. Backend Engineer - Python/Java & Kafka C2C contract
Bellevue, WA · On-site
$140 - $190/hr
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent ...
New
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.
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Full-time
Re-posted 7 days ago
Accenture Federal Services rating
8.7
Based on 20 frontline employees who took The Breakroom Quiz
44th of 482 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