... Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets. • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced ...
... Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets. • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced ...
Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.
Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.
Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...
New
Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...
New
Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...
New
Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...
New
Agentic AI Developer (Python & AI)
Sunnyvale, CA · On-site
$60 - $82.50/hr
... Retrieval-Augmented Generation) architecture * - Hands-on experience on designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel and AutoGen. * - Having experience in ...
Agentic AI Developer (Python & AI)
Sunnyvale, CA · On-site
$60 - $82.50/hr
... Retrieval-Augmented Generation) architecture * - Hands-on experience on designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel and AutoGen. * - Having experience in ...
AI Developer
Manhattan, NY · On-site
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
Quick apply
AI Developer
Manhattan, NY · On-site
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
AI Developer
Manhattan, NY · On-site
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
AI Developer
Manhattan, NY · On-site
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
AI Intern
Woodridge, IL · On-site
... AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development ...
AI Intern
Woodridge, IL · On-site
... AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development ...
... Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets. • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced ...
... Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets. • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced ...
AI Developer
Manhattan, NY · On-site
$115K/yr
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
AI Developer
Manhattan, NY · On-site
$115K/yr
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
AI Developer
San Jose, CA · Remote
Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management. * Ensure agent reliability, safety, and governance by establishing robust guardrails ...
Quick apply
AI Developer
San Jose, CA · Remote
Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management. * Ensure agent reliability, safety, and governance by establishing robust guardrails ...
AI Developer
Manhattan, NY · On-site
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
Quick apply
AI Developer
Manhattan, NY · On-site
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
Solution Architect ( Conversational AI)
Chicago, IL · On-site
$65 - $85.50/hr
Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses * Designed and deployed chatbot solutions across web and mobile platforms * Cloud Architecture: * Strong ...
Quick apply
Solution Architect ( Conversational AI)
Chicago, IL · On-site
$65 - $85.50/hr
Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses * Designed and deployed chatbot solutions across web and mobile platforms * Cloud Architecture: * Strong ...
GenAI Engineer-W2
Austin, TX · On-site
Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...
Quick apply
GenAI Engineer-W2
Austin, TX · On-site
Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...
Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...
Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...
Implement Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge management. Optimize AI application performance, scalability, observability, security, and cost. Develop CI/CD ...
New
Implement Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge management. Optimize AI application performance, scalability, observability, security, and cost. Develop CI/CD ...
New
Experience with Artificial Intelligence (AI), Machine Learning (ML), generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI-assisted software development tools, and ...
New
Quick apply
Experience with Artificial Intelligence (AI), Machine Learning (ML), generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI-assisted software development tools, and ...
New
Python Developer with ML - Dallas, TX
$49.75 - $68.50/hr
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...
Python Developer with ML - Dallas, TX
$49.75 - $68.50/hr
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...
AI consultant.
Columbia, SC · On-site
Design and implement AI agents and Retrieval-Augmented Generation (RAG) solutions. * Work with generative AI platforms including ChatGPT, Microsoft Copilot, and similar technologies. * Utilize AI ...
Quick apply
AI consultant.
Columbia, SC · On-site
Design and implement AI agents and Retrieval-Augmented Generation (RAG) solutions. * Work with generative AI platforms including ChatGPT, Microsoft Copilot, and similar technologies. * Utilize AI ...
AI Technical Architect
Hoboken, NJ · On-site
Mastery of deep learning frameworks like PyTorch or TensorFlow, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. Cloud & Infrastructure: Experience with cloud ...
New
AI Technical Architect
Hoboken, NJ · On-site
Mastery of deep learning frameworks like PyTorch or TensorFlow, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. Cloud & Infrastructure: Experience with cloud ...
New
Entrylevel Retrieval Augmented Generation information
See salary details
$32K - $36K
12% of jobs
$39.1K is the 25th percentile. Wages below this are outliers.
$36K - $40K
17% of jobs
$40K - $44K
13% of jobs
$44K - $48K
8% of jobs
The median wage is $48.2K / yr.
$48K - $52K
12% of jobs
$52K - $56K
5% of jobs
$56K - $60K
5% of jobs
$62.2K is the 75th percentile. Wages above this are outliers.
$60K - $64K
5% of jobs
$64K - $68K
6% of jobs
$68K - $72K
6% of jobs
$72K - $76K
10% of jobs
$32K
$52.1K
$76K
How much do entrylevel retrieval augmented generation jobs pay per year?
As of Aug 9, 2026, the average yearly pay for entrylevel retrieval augmented generation in the United States is $52,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $65,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Entrylevel Retrieval Augmented Generation jobs? Cities with the most Entrylevel Retrieval Augmented Generation job openings:
What states have the most Entrylevel Retrieval Augmented Generation jobs? States with the most job openings for Entrylevel Retrieval Augmented Generation jobs include:
What job categories do people searching Entrylevel Retrieval Augmented Generation jobs look for? The top searched job categories for Entrylevel Retrieval Augmented Generation jobs are:
Full-time
Re-posted 4 days ago
Job description
Job Summary:
Keebler Health is building the operating system for value-based care, aiming to empower healthcare organizations with data-driven insights. The role involves developing and fine-tuning large language models for healthcare applications, collaborating with healthcare professionals, and optimizing AI workflows.
Responsibilities:
• Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
• Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
• Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
• Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
• Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability.
• Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
• Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).
• Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions.
• Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
• Deploy and monitor AI models in production environments to ensure performance and compliance.
• Optimize infrastructure for efficient training, testing, and deployment of models.
• Stay at the forefront of advancements in AI, especially in healthcare applications.
• Identify and resolve performance bottlenecks in AI workflows.
• Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions.
• Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows.
• Communicate technical results and insights effectively to non-technical stakeholders.
Qualifications:
Required:
• Proven experience in LLM fine-tuning and advanced prompt engineering.
• Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch).
• Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards).
• Hands-on experience with retrieval-augmented generation (RAG) techniques.
• Expertise in evaluating AI models using performance metrics like precision, and recall.
Preferred:
• Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.
• Understanding of healthcare data standards, including HL7 and HEDIS metrics.
• Strong problem-solving skills in integrating AI with complex healthcare datasets.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Company:
Keebler Health develops an AI-powered healthcare analytics platform focused on risk adjustment and clinical decision support. Founded in 2023, the company is headquartered in Durham, USA, with a team of 11-50 employees. The company is currently Early Stage.
Keebler Health is building the operating system for value-based care, aiming to empower healthcare organizations with data-driven insights. The role involves developing and fine-tuning large language models for healthcare applications, collaborating with healthcare professionals, and optimizing AI workflows.
Responsibilities:
• Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
• Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
• Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
• Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
• Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability.
• Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
• Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).
• Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions.
• Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
• Deploy and monitor AI models in production environments to ensure performance and compliance.
• Optimize infrastructure for efficient training, testing, and deployment of models.
• Stay at the forefront of advancements in AI, especially in healthcare applications.
• Identify and resolve performance bottlenecks in AI workflows.
• Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions.
• Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows.
• Communicate technical results and insights effectively to non-technical stakeholders.
Qualifications:
Required:
• Proven experience in LLM fine-tuning and advanced prompt engineering.
• Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch).
• Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards).
• Hands-on experience with retrieval-augmented generation (RAG) techniques.
• Expertise in evaluating AI models using performance metrics like precision, and recall.
Preferred:
• Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.
• Understanding of healthcare data standards, including HL7 and HEDIS metrics.
• Strong problem-solving skills in integrating AI with complex healthcare datasets.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Company:
Keebler Health develops an AI-powered healthcare analytics platform focused on risk adjustment and clinical decision support. Founded in 2023, the company is headquartered in Durham, USA, with a team of 11-50 employees. The company is currently Early Stage.