AI / ML Engineer
Charlotte, NC · On-site
Prompt engineering, Model evaluation, Retrieval-Augmented Generation (RAG) • Experience working on enterprise-scale or customer-facing systems is a plus. Preferred : • Experience with NLP for ...
AI / ML Engineer
Charlotte, NC · On-site
Prompt engineering, Model evaluation, Retrieval-Augmented Generation (RAG) • Experience working on enterprise-scale or customer-facing systems is a plus. Preferred : • Experience with NLP for ...
Agentic AI Engineer
Atlanta, GA · On-site
Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks. * Build scalable APIs, microservices, and integrations supporting ...
Agentic AI Engineer
Atlanta, GA · On-site
Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks. * Build scalable APIs, microservices, and integrations supporting ...
AI Engineer
Dallas, TX · On-site
$90 - $120/hr
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
$90 - $120/hr
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Generative AI Engineer
Alpharetta, GA · On-site
Responsibilities : • Design and build scalable and production-grade generative AI systems. • Develop, fine-tune, and evaluate LLMs • Integrate LLMs with Retrieval-Augmented Generation (RAG ...
Generative AI Engineer
Alpharetta, GA · On-site
Responsibilities : • Design and build scalable and production-grade generative AI systems. • Develop, fine-tune, and evaluate LLMs • Integrate LLMs with Retrieval-Augmented Generation (RAG ...
Junior AI Engineer, Financial Services
Atlanta, GA · On-site
$150 - $190/hr
Build and improve retrieval-augmented generation (RAG) systems with a Senior AI Engineer * Develop chunking and embedding strategies, retrieval-quality processes, and evaluations * Manage context ...
New
Junior AI Engineer, Financial Services
Atlanta, GA · On-site
$150 - $190/hr
Build and improve retrieval-augmented generation (RAG) systems with a Senior AI Engineer * Develop chunking and embedding strategies, retrieval-quality processes, and evaluations * Manage context ...
New
Python AI Developer
Malvern, PA · On-site
$49.25 - $68/hr
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:
Python AI Developer
Malvern, PA · On-site
$49.25 - $68/hr
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:
Implement Retrieval-Augmented Generation (RAG) architectures with Oracle Database. * Create and manage vector embeddings and vector indexes. * Integrate Oracle Database with LLMs and Generative AI ...
Implement Retrieval-Augmented Generation (RAG) architectures with Oracle Database. * Create and manage vector embeddings and vector indexes. * Integrate Oracle Database with LLMs and Generative AI ...
AI Product Manager (Knowledge and Retrieval Systems)
Medina, MN · On-site
$130K - $170K/yr
You will lead Retrieval-Augmented Generation (RAG) and knowledge-retrieval initiatives that support a variety of business functions. You will partner cross-functionally with business leaders, IT ...
AI Product Manager (Knowledge and Retrieval Systems)
Medina, MN · On-site
$130K - $170K/yr
You will lead Retrieval-Augmented Generation (RAG) and knowledge-retrieval initiatives that support a variety of business functions. You will partner cross-functionally with business leaders, IT ...
AI Programmer Analyst
Weehawken, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Weehawken, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Saint Albans, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Saint Albans, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Floral Park, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Floral Park, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Kearny, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Kearny, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Secaucus, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Secaucus, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Roselle Park, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Roselle Park, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Woodhaven, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Woodhaven, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
East Orange, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
East Orange, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Brooklyn, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Brooklyn, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Voice Engineer
Los Angeles, CA · On-site
$140 - $220/hr
Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...
New
AI Voice Engineer
Los Angeles, CA · On-site
$140 - $220/hr
Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...
New
AI Programmer Analyst
Vauxhall, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Vauxhall, NJ · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Little Neck, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
AI Programmer Analyst
Little Neck, NY · On-site
The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...
Retrieval Augmented Generation information
What is a retrieval augmented generation?
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
What does a retrieval augmented generation engineer do?
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
What skills and qualifications are needed for retrieval augmented generation?
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
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Full-time
Re-posted 4 days ago
Job description
Job Summary:
Datum Technologies Group is seeking an AI Engineer specializing in Conversational AI and IVR. The role involves designing, developing, and maintaining AI solutions, implementing workflows, and optimizing model performance for conversational experiences.
Responsibilities:
• Design, develop, and maintain AI solutions for IVR and conversational AI platforms.
• Implement LLM-based workflows, including prompt engineering, evaluation, and retrieval-augmented generation (RAG).
• Build and maintain knowledge retrieval pipelines to support IVR use cases such as FAQs, troubleshooting, and account-related queries.
• Evaluate and optimize model performance with a focus on accuracy, latency, and conversational quality.
• Contribute to the continuous improvement of AI-driven voice and conversational experiences.
Qualifications:
Required:
• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with Large Language Models (LLMs), including: Prompt engineering, Model evaluation, Retrieval-Augmented Generation (RAG)
• Experience working on enterprise-scale or customer-facing systems is a plus.
Preferred:
• Experience with NLP for conversational AI applications.
• Familiarity with speech and voice data workflows, including ASR, NLU, and TTS concepts.
Company:
Datum Technologies Group provides technology solutions, managed services, government contracting, and IT staffing services. Founded in 2001, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Datum Technologies Group is seeking an AI Engineer specializing in Conversational AI and IVR. The role involves designing, developing, and maintaining AI solutions, implementing workflows, and optimizing model performance for conversational experiences.
Responsibilities:
• Design, develop, and maintain AI solutions for IVR and conversational AI platforms.
• Implement LLM-based workflows, including prompt engineering, evaluation, and retrieval-augmented generation (RAG).
• Build and maintain knowledge retrieval pipelines to support IVR use cases such as FAQs, troubleshooting, and account-related queries.
• Evaluate and optimize model performance with a focus on accuracy, latency, and conversational quality.
• Contribute to the continuous improvement of AI-driven voice and conversational experiences.
Qualifications:
Required:
• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with Large Language Models (LLMs), including: Prompt engineering, Model evaluation, Retrieval-Augmented Generation (RAG)
• Experience working on enterprise-scale or customer-facing systems is a plus.
Preferred:
• Experience with NLP for conversational AI applications.
• Familiarity with speech and voice data workflows, including ASR, NLU, and TTS concepts.
Company:
Datum Technologies Group provides technology solutions, managed services, government contracting, and IT staffing services. Founded in 2001, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.