Atlanta, GA · On-site
$100K - $138K/yr
Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...
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Atlanta, GA · On-site
$100K - $138K/yr
Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques * Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques * Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Atlanta, GA · On-site
$100K - $138K/yr
Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...
Atlanta, GA · On-site
$100K - $138K/yr
Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...
Atlanta, GA · On-site
$100K - $138K/yr
Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...
Atlanta, GA · On-site
$100K - $138K/yr
Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...
Atlanta, GA · On-site
$100K - $138K/yr
Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...
Atlanta, GA · On-site
$100K - $138K/yr
Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...
Hands-on experience with Generative AI , LLMs , OpenAI , GPT , LangChain , and RAG (Retrieval-Augmented Generation) . * Experience with Vector Databases (Pinecone, FAISS, ChromaDB, or Milvus)
New
Hands-on experience with Generative AI , LLMs , OpenAI , GPT , LangChain , and RAG (Retrieval-Augmented Generation) . * Experience with Vector Databases (Pinecone, FAISS, ChromaDB, or Milvus)
New
Atlanta, GA · On-site +1
Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...
Atlanta, GA · On-site +1
Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...
Tucker, GA · On-site
... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...
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Tucker, GA · On-site
... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...
Tucker, GA · On-site
... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...
Tucker, GA · On-site
... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
AI Product Management • Drive features related to Generative AI, Agentic AI, AI Gateways, AI Agents, MCP, and Retrieval-Augmented Generation (RAG). • Collaborate with AI engineers to define ...
AI Product Management • Drive features related to Generative AI, Agentic AI, AI Gateways, AI Agents, MCP, and Retrieval-Augmented Generation (RAG). • Collaborate with AI engineers to define ...
Oakwood, GA · On-site
Support implementation of Retrieval-Augmented Generation (RAG), enterprise knowledge management, and AI-powered search solutions. * Monitor program KPIs, adoption metrics, value realization, and ROI.
Oakwood, GA · On-site
Support implementation of Retrieval-Augmented Generation (RAG), enterprise knowledge management, and AI-powered search solutions. * Monitor program KPIs, adoption metrics, value realization, and ROI.
Atlanta, GA · On-site
$65 - $69.42/hr
This role will focus on building scalable, production-grade AI solutions-starting with projects involving Retrieval Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...
Atlanta, GA · On-site
$65 - $69.42/hr
This role will focus on building scalable, production-grade AI solutions-starting with projects involving Retrieval Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...
You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...
You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...
$117K - $155K/yr
Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. Engineer authentication ...
$117K - $155K/yr
Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. Engineer authentication ...
You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...
You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...
Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...
Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...
Atlanta, GA · On-site
$117K - $155K/yr
... retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. • Engineer authentication, authorization, and identity controls for AI agents, service accounts ...
Atlanta, GA · On-site
$117K - $155K/yr
... retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. • Engineer authentication, authorization, and identity controls for AI agents, service accounts ...
Atlanta, GA · On-site
Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma). * Strong problem-solving and analytical skills. * Excellent ...
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Atlanta, GA · On-site
Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma). * Strong problem-solving and analytical skills. * Excellent ...
Atlanta, GA · On-site
Retrieval-Augmented Generation (RAG): Implementing vector databases (e.g., Pinecone, FAISS) to allow models to access and reason. * Prompt Engineering: Refining and optimizing high-quality prompts to ...
Atlanta, GA · On-site
Retrieval-Augmented Generation (RAG): Implementing vector databases (e.g., Pinecone, FAISS) to allow models to access and reason. * Prompt Engineering: Refining and optimizing high-quality prompts to ...
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.
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.
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.
Atlanta, GA • On-site
$100K - $138K/yr
Full-time
Posted 9 days ago
We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies.
Job DescriptionNOTE: Candidate must have prior experience with below clients:
Ex-Amazon
Apple
Facebook
Netflix
Google
Key Responsibilities:
Build AI Systems: Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines.
Productionize AI: Transform AI prototypes into reliable services by packaging models behind APIs, deploying to cloud infrastructure, and ensuring low-latency scalability.
Integrate APIs: Consume and manage external model APIs (e.g., OpenAI, Anthropic, Hugging Face) while handling rate limits, streaming, and cost control.
Evaluate and Monitor: Establish evaluation pipelines and observability to monitor performance, handle drift, and ensure outputs meet safety and accuracy standards.
Data Management: Own data processing pipelines for retrieval, evaluation, and fine-tuning using proprietary company data.
Regards,
Mohammed ilyas,
PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com
Additional InformationAll your information will be kept confidential according to EEO guidelines.
