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 ...
New
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 ...
New
Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks. * Build scalable APIs, microservices, and integrations supporting ...
New
Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks. * Build scalable APIs, microservices, and integrations supporting ...
New
AI Engineer Locals Only
Alpharetta, GA · On-site
AI Agents Multi-Agent Systems AI / Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Workflow Automation & Orchestration Solutions Warm Regards, Upender. K Sr. Talent Acquisition ...
AI Engineer Locals Only
Alpharetta, GA · On-site
AI Agents Multi-Agent Systems AI / Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Workflow Automation & Orchestration Solutions Warm Regards, Upender. K Sr. Talent Acquisition ...
Palantir GEN AI Engineer
Atlanta, GA · On-site
Build retrieval-augmented generation (RAG) and ontology-augmented generation (OAG) workflows grounded in Foundry data. Develop copilots, decision-support agents and autonomous workflows using AIP ...
New
Palantir GEN AI Engineer
Atlanta, GA · On-site
Build retrieval-augmented generation (RAG) and ontology-augmented generation (OAG) workflows grounded in Foundry data. Develop copilots, decision-support agents and autonomous workflows using AIP ...
New
Artificial Intelligence Engineer
Alpharetta, GA · On-site
$108K - $130K/yr
... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...
Artificial Intelligence Engineer
Alpharetta, GA · On-site
$108K - $130K/yr
... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...
AI Engineer
Atlanta, GA · On-site +1
... retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning. • Proficient in Python and comfortable working with async code, data ...
AI Engineer
Atlanta, GA · On-site +1
... retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning. • Proficient in Python and comfortable working with async code, data ...
Agentic Gen AI Engineer
Alpharetta, GA · On-site
... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...
Agentic Gen AI Engineer
Alpharetta, GA · On-site
... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...
AI/ML Engineer
Atlanta, GA · On-site +1
Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities. * Develop and optimize data pipelines, feature ...
AI/ML Engineer
Atlanta, GA · On-site +1
Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities. * Develop and optimize data pipelines, feature ...
Junior AI/ML Engineer
Atlanta, GA · On-site
$90K - $110K/yr
AI/ML & Generative AI(Primary Skill set) NLP and Transformer Architectures Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Frameworks ...
Junior AI/ML Engineer
Atlanta, GA · On-site
$90K - $110K/yr
AI/ML & Generative AI(Primary Skill set) NLP and Transformer Architectures Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Frameworks ...
AI Engineer
Atlanta, GA · On-site
$50 - $55/hr
Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. Design AI orchestration workflows using frameworks such as LangChain ...
AI Engineer
Atlanta, GA · On-site
$50 - $55/hr
Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. Design AI orchestration workflows using frameworks such as LangChain ...
AI Engineer
Atlanta, GA · On-site
$50 - $55/hr
Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. * Design AI orchestration workflows using frameworks such as LangChain ...
Quick apply
AI Engineer
Atlanta, GA · On-site
$50 - $55/hr
Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. * Design AI orchestration workflows using frameworks such as LangChain ...
Prompt Engineering & Retrieval-Augmented Generation (RAG) * Oracle Cloud Quarterly Release Management * API Development & Integrations * Strong communication and stakeholder management
Prompt Engineering & Retrieval-Augmented Generation (RAG) * Oracle Cloud Quarterly Release Management * API Development & Integrations * Strong communication and stakeholder management
AI/ML Engineer
$110K - $132K/yr
Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...
Quick apply
AI/ML Engineer
$110K - $132K/yr
Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...
Sr. AI/ML Engineer
Atlanta, GA · On-site
$100K - $138K/yr
JD: Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, and MLOps to ...
Sr. AI/ML Engineer
Atlanta, GA · On-site
$100K - $138K/yr
JD: Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, and MLOps to ...
Build retrieval-augmented generation (RAG) and ontology-augmented generation (OAG) workflows grounded in Foundry data. Develop copilots, decision-support agents and autonomous workflows using AIP ...
Build retrieval-augmented generation (RAG) and ontology-augmented generation (OAG) workflows grounded in Foundry data. Develop copilots, decision-support agents and autonomous workflows using AIP ...
Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. * Fine-tune or adapt foundation models where appropriate using parameter ...
Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. * Fine-tune or adapt foundation models where appropriate using parameter ...
Guide engineers on best practices for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and model integration. * Mentor AI engineers through technical coaching ...
Guide engineers on best practices for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and model integration. * Mentor AI engineers through technical coaching ...
Architect and implement multi-agent and agentic AI frameworks that support enterprise cybersecurity use cases, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings ...
Architect and implement multi-agent and agentic AI frameworks that support enterprise cybersecurity use cases, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings ...
Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. * Fine-tune or adapt foundation models where appropriate using parameter ...
Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. * Fine-tune or adapt foundation models where appropriate using parameter ...
Architect and implement multi-agent and agentic AI frameworks that support enterprise cybersecurity use cases, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings ...
Architect and implement multi-agent and agentic AI frameworks that support enterprise cybersecurity use cases, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings ...
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Job description
What You''ll Do
- Design, develop, and deploy enterprise-grade AI applications using modern software engineering best practices.
- Build and enhance agentic AI solutions, AI copilots, and intelligent workflow automation.
- Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks.
- Build scalable APIs, microservices, and integrations supporting enterprise AI platforms.
- Collaborate with data scientists to productionize machine learning and AI solutions.
- Implement testing, monitoring, observability, and governance practices for AI applications.
- Ensure AI solutions meet security, compliance, and responsible AI standards.
- Contribute to architecture decisions for enterprise AI platforms and reusable application frameworks.
- Work within Azure and Microsoft''s AI ecosystem while supporting multi-cloud best practices where appropriate.
- Participate in code reviews and promote engineering excellence across the team.
Current AI Initiatives
- This role will contribute to several strategic AI initiatives, including:
- Payer Intelligence Platform
- Monitor payer policy changes using AI.
- Assess operational impact of policy updates.
- Support managed care teams in prioritizing actions and dispute resolution.
- Clinical Chart Review: Build agentic AI solutions using EHR and clinical documentation.
- Support patient cohort identification.
- Generate clinical insights for quality improvement initiatives.
- Population Market Intelligence: Analyze internal and external datasets.
- Generate recommendations for service line growth.
- Identify emerging healthcare market opportunities.
Required Qualifications
- MUST HAVE A Bachelor''s degree in Computer Science, Engineering, Data Science, or a related technical field. Master''s degree preferred. Equivalent professional experience may be considered in lieu of an advanced degree.
- Approximately 3+ years of experience in AI engineering, machine learning engineering, data engineering, software engineering, or a related technical discipline.
- At least 2 years of experience designing, building, and supporting production-grade enterprise applications.
- Hands-on experience developing applications using Large Language Models (LLMs).
- Experience implementing Retrieval-Augmented Generation (RAG) architectures.
- Experience building agentic AI applications, AI assistants, or workflow automation solutions.
- Strong Python programming skills.
- Experience building and consuming RESTful APIs.
- Knowledge of software engineering best practices, including testing, version control, CI/CD, and maintainable application design.
- Experience designing scalable enterprise application architectures.
Preferred Qualifications
- Experience within healthcare, provider organizations, payer organizations, or biomedical environments.
- Experience with Microsoft Azure and Azure AI services.
- Familiarity with GitHub Copilot and the Microsoft AI ecosystem.
- Experience with AI governance, responsible AI practices, observability, guardrails, and model monitoring.
- Background in MLOps and production AI deployment.
- Technical Environment
- Python
- Azure (preferred)
- GitHub Copilot
- Microsoft AI ecosystem
- REST APIs
- Microservices
- Enterprise AI architecture
- Tool-calling frameworks
- Retrieval-Augmented Generation (RAG)
About Ora Apps
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Edison, NJ, US