... rate limits, and fallbacks. - Package and deploy services using Docker/Kubernetes; manage secrets ... AI features. Let me know if you want a more condensed/shortened version!
... rate limits, and fallbacks. - Package and deploy services using Docker/Kubernetes; manage secrets ... AI features. Let me know if you want a more condensed/shortened version!
Establish KPIs and success metrics including containment rate, AHT reduction, CSAT, intent accuracy ... Voice AI / IVR Modernization * Artificial Intelligence / Generative AI * LLMs (RAG, Prompt ...
New
Establish KPIs and success metrics including containment rate, AHT reduction, CSAT, intent accuracy ... Voice AI / IVR Modernization * Artificial Intelligence / Generative AI * LLMs (RAG, Prompt ...
New
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
Quick apply
... exception rates, compliance adherence, and cost-per-file metrics across client portfolios ... Exposure to AI/ML concepts, prompt engineering, or large language model (LLM) workflows.
EST/CST hour Rate: 55-65/hr on W2 Note: Need to have implemented at least 3 AI projects . USC/GC holders only Note: Candidates need to work on EST/CST timezone but looking for candidates who are ...
EST/CST hour Rate: 55-65/hr on W2 Note: Need to have implemented at least 3 AI projects . USC/GC holders only Note: Candidates need to work on EST/CST timezone but looking for candidates who are ...
Senior LLMOps / AI Platform Engineer (Onsite)
Atlanta, GA · On-site
$125K - $160K/yr
Azure AI / Azure OpenAI Model deployments, quotas, TPM/RPM planning, rate-limit troubleshooting, deployment configuration, model upgrade support, fallback planning, and cost/performance monitoring.
Senior LLMOps / AI Platform Engineer (Onsite)
Atlanta, GA · On-site
$125K - $160K/yr
Azure AI / Azure OpenAI Model deployments, quotas, TPM/RPM planning, rate-limit troubleshooting, deployment configuration, model upgrade support, fallback planning, and cost/performance monitoring.
Senior LLMOps / AI Platform Engineer (Onsite)
Atlanta, GA · On-site
$125K - $160K/yr
Azure AI / Azure OpenAI Model deployments, quotas, TPM/RPM planning, rate-limit troubleshooting, deployment configuration, model upgrade support, fallback planning, and cost/performance monitoring.
Quick apply
Senior LLMOps / AI Platform Engineer (Onsite)
Atlanta, GA · On-site
$125K - $160K/yr
Azure AI / Azure OpenAI Model deployments, quotas, TPM/RPM planning, rate-limit troubleshooting, deployment configuration, model upgrade support, fallback planning, and cost/performance monitoring.
Director, Fleet AI Engineering
Atlanta, GA · On-site +1
$130K/yr
The target starting rate is $130K; actual salary will be determined based on experience. What You ... AI-Native Engineering: Build an AI-assisted development workflow (prompting and code-review ...
Director, Fleet AI Engineering
Atlanta, GA · On-site +1
$130K/yr
The target starting rate is $130K; actual salary will be determined based on experience. What You ... AI-Native Engineering: Build an AI-assisted development workflow (prompting and code-review ...
AI Customer Service Implementation Lead
Atlanta, GA · Remote
$113K - $170K/yr
Experience measuring AI containment, deflection quality, escalation rates, and customer friction in support contexts. * The typical base salary for this role is betweenUSD $113,000- $170,000per year ...
AI Customer Service Implementation Lead
Atlanta, GA · Remote
$113K - $170K/yr
Experience measuring AI containment, deflection quality, escalation rates, and customer friction in support contexts. * The typical base salary for this role is betweenUSD $113,000- $170,000per year ...
Agentic AI Engineer (Not Remote) - Kennesaw, GA
Kennesaw, GA · On-site
$94K - $124K/yr
System reliability: uptime, eval pass rates, cost efficiency, and incident response. * Quality of the engineering foundation: maintainability, documentation, security posture, and knowledge transfer.
Agentic AI Engineer (Not Remote) - Kennesaw, GA
Kennesaw, GA · On-site
$94K - $124K/yr
System reliability: uptime, eval pass rates, cost efficiency, and incident response. * Quality of the engineering foundation: maintainability, documentation, security posture, and knowledge transfer.
System reliability: uptime, eval pass rates, cost efficiency, and incident response. * Quality of the engineering foundation: maintainability, documentation, security posture, and knowledge transfer.
System reliability: uptime, eval pass rates, cost efficiency, and incident response. * Quality of the engineering foundation: maintainability, documentation, security posture, and knowledge transfer.
MLOps, Deployment & Observability • Deploy AI services using Docker, container orchestration, and cloud environments. • Implement monitoring for AI behavior, performance, error rates, and ...
Quick apply
MLOps, Deployment & Observability • Deploy AI services using Docker, container orchestration, and cloud environments. • Implement monitoring for AI behavior, performance, error rates, and ...
Track benefits realization through KPIs like adoption rates, user proficiency, and ROI, adjusting ... Applied AI training for teams adopting specific solutions (Copilot, Agentic workflows ..etc.
Track benefits realization through KPIs like adoption rates, user proficiency, and ROI, adjusting ... Applied AI training for teams adopting specific solutions (Copilot, Agentic workflows ..etc.
Ai Rater information
What is an AI Rater job?
An AI Rater evaluates and provides feedback on artificial intelligence models, typically improving search engines, chatbots, or recommendation systems. They assess the relevance, accuracy, and quality of AI-generated content based on specific guidelines. This role requires strong analytical skills, attention to detail, and familiarity with the subject matter being reviewed. AI Raters often work remotely and on a flexible schedule.
What are the key skills and qualifications needed to thrive in the Ai Rater position, and why are they important?
To thrive as an AI Rater, you generally need strong attention to detail, analytical thinking, and proficiency in English, often supported by formal education such as a high school diploma or higher. Familiarity with web browsers, online research, and company-specific rating platforms or guidelines is essential. Excellent time management, adaptability, and effective written communication help individuals excel in this position. These skills and qualities ensure accurate and consistent evaluations of AI-generated content, directly impacting the improvement of artificial intelligence systems.
What does a typical day look like for an AI Rater?
A typical day for an AI Rater involves reviewing and evaluating various types of content, such as search engine results, social media posts, advertisements, or chatbot responses, to ensure they meet quality and relevancy standards. You may follow detailed guidelines to rate or annotate content, complete assigned tasks in a web-based platform, and provide feedback to help improve AI performance. Most positions are remote and offer flexible schedules, allowing you to plan your workload around personal commitments. Collaboration is generally limited, as most work is performed independently, but periodic communication with team leads for training or updates is common.
What are the most commonly searched types of Ai Rater jobs in Georgia? The most popular types of Ai Rater jobs in Georgia are:
What are popular job titles related to Ai Rater jobs in Georgia? For Ai Rater jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Rater jobs in Georgia look for? The top searched job categories for Ai Rater jobs in Georgia are:
What cities in Georgia are hiring for Ai Rater jobs? Cities in Georgia with the most Ai Rater job openings:
Full-time
Posted 7 days ago
Job description
Job Summary for Python AI Engineer (Prompt & Agentic Systems):
- Develop end-to-end AI-enabled applications using Python, focusing on Large Language Models (LLMs) and agentic (autonomous/multi-agent) system architectures.
- Design and build Python-based backend services that leverage LLMs for reasoning, extraction, summarization, and decision support.
- Engineer, version, and evaluate AI prompts/system instructions; create guardrails and optimize for reliability, latency, and cost.
- Architect and implement agentic systems, including planning, tool usage, memory, error recovery, and human-in-the-loop controls.
- Build retrieval-augmented generation (RAG) pipelines: ingest documents, chunk data, generate embeddings, and implement semantic/vector search.
- Define and monitor metrics for quality, safety, and performance of AI systems; establish observability for LLM calls.
- Integrate APIs, databases, and workflow tools to enable agent capabilities, handling authentication, rate limits, and fallbacks.
- Package and deploy services using Docker/Kubernetes; manage secrets, CI/CD pipelines, and support cost governance.
- Ensure security and compliance, including PII handling, data privacy, prompt injection defense, and audit logging.
- Collaborate cross-functionally with product, data, and security teams to deliver reliable and innovative AI features.
Let me know if you want a more condensed/shortened version!
- Develop end-to-end AI-enabled applications using Python, focusing on Large Language Models (LLMs) and agentic (autonomous/multi-agent) system architectures.
- Design and build Python-based backend services that leverage LLMs for reasoning, extraction, summarization, and decision support.
- Engineer, version, and evaluate AI prompts/system instructions; create guardrails and optimize for reliability, latency, and cost.
- Architect and implement agentic systems, including planning, tool usage, memory, error recovery, and human-in-the-loop controls.
- Build retrieval-augmented generation (RAG) pipelines: ingest documents, chunk data, generate embeddings, and implement semantic/vector search.
- Define and monitor metrics for quality, safety, and performance of AI systems; establish observability for LLM calls.
- Integrate APIs, databases, and workflow tools to enable agent capabilities, handling authentication, rate limits, and fallbacks.
- Package and deploy services using Docker/Kubernetes; manage secrets, CI/CD pipelines, and support cost governance.
- Ensure security and compliance, including PII handling, data privacy, prompt injection defense, and audit logging.
- Collaborate cross-functionally with product, data, and security teams to deliver reliable and innovative AI features.
Let me know if you want a more condensed/shortened version!
About InfiCare Technologies
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
Dulles, VA, US
Year founded
2001