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 ...
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 ...
... of RAG programming techniques. * Proficiency in programming languages such as Python, Java, or similar. * Hands-on experience with machine learning frameworks and libraries (e.g ...
Quick apply
... of RAG programming techniques. * Proficiency in programming languages such as Python, Java, or similar. * Hands-on experience with machine learning frameworks and libraries (e.g ...
Sr AI Engineer (RAG Specialist with Strong Python Skills)
Raleigh, NC · Hybrid
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Sr AI Engineer (RAG Specialist with Strong Python Skills)
Raleigh, NC · Hybrid
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Sr AI Engineer (RAG Specialist with Strong Python Skills)
Raleigh, NC · On-site
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Sr AI Engineer (RAG Specialist with Strong Python Skills)
Raleigh, NC · On-site
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
... 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 ...
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 ...
... 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 ...
... 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 ...
GEN AI, RAG Engineer
Alpharetta, GA · On-site
Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will ...
GEN AI, RAG Engineer
Alpharetta, GA · On-site
Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will ...
Build agentic workflows and RAG systems tailored to mission data and environments; target low ... • SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and ...
Build agentic workflows and RAG systems tailored to mission data and environments; target low ... • SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and ...
GEN AI, RAG Engineer
Alpharetta, GA · On-site
$120 - $150/hr
Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Additional Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also ...
New
GEN AI, RAG Engineer
Alpharetta, GA · On-site
$120 - $150/hr
Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Additional Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also ...
New
You'll work on LLM integration, RAG pipelines, backend services, frontend UI, Azure cloud infrastructure, DevOps, and security. This role is ideal for a strong generalist with deep experience in ...
You'll work on LLM integration, RAG pipelines, backend services, frontend UI, Azure cloud infrastructure, DevOps, and security. This role is ideal for a strong generalist with deep experience in ...
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.
More about Rag Developer jobs
What cities are hiring for Rag Developer jobs?
Cities with the most Rag Developer job openings:
What states have the most Rag Developer jobs?
States with the most job openings for Rag Developer jobs include:
What job categories do people searching Rag Developer jobs look for?
The top searched job categories for Rag Developer jobs are:
Generative AI Applications Engineer (Agents & RAG)
Washington, DC • On-site
Full-time
Re-posted 21 days ago
Accenture Federal Services rating
8.7
Based on 20 frontline employees who took The Breakroom Quiz
48th of 495 rated business services
Job description
Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through innovative technology solutions. The Generative AI Applications Engineer will develop secure and scalable GenAI applications, focusing on mission needs and production deployment while collaborating with various teams to ensure operational excellence.
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 innovative technology solutions. The Generative AI Applications Engineer will develop secure and scalable GenAI applications, focusing on mission needs and production deployment while collaborating with various teams to ensure operational excellence.
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