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AI DevOps/Observability Engineer

Rivago infotech inc

Charlotte, North Carolina • Today

Easy Apply

Contract, Third Party

55 - 60

Observability and Evaluation Engineer

CogniSoft Technologies

Hybrid in Charlotte, North Carolina • Today

Easy Apply

Full-time

Depends on Experience

Ai Engineer

Mitchell Martin, Inc.

Charlotte, North Carolina • 3d ago

Easy Apply

Contract, Third Party

$59 - $64

Observability & Evaluation Engineer

NTT DATA, Inc.

Charlotte, North Carolina • Today

Full-time

USD 96,800.00 - 145,200.00 per year

Observability & Evaluation Engineer

NTT DATA, Inc.

Charlotte, North Carolina • Today

Full-time

Observability and Evaluation Engineer

NTT DATA, Inc.

Charlotte, North Carolina • Today

Full-time

Observability and Evaluation Engineer

4i Americas

Charlotte, North Carolina • Today

Easy Apply

Contract

Depends on Experience

Observability & Evaluation Engineer - NTTJP00113656

Technogen, Inc.

Charlotte, North Carolina • Today

Easy Apply

Third Party, Contract

AI Engineer

Randstad Digital

Charlotte, North Carolina • Today

Contract

USD52 - USD62

Sr. Monitoring and Observability engineer

Sapear Inc

Charlotte, North Carolina • 3d ago

Easy Apply

Third Party, Contract

Depends on Experience

Sr AI/ML Data Engineer

Randstad Digital

Charlotte, North Carolina • Today

Contract

USD52 - USD62

Azure Data Engineer

Mitchell Martin, Inc.

Charlotte, North Carolina • Yesterday

Easy Apply

Contract, Third Party

$70 - $80

Azure Data Engineer

Mitchell Martin, Inc.

Charlotte, North Carolina • Yesterday

Easy Apply

Third Party, Contract

$70 - $80

DevOps Enablement Engineer & AI Adoption Specialist

EPAM Systems

Remote or New York, New York • Today

Full-time

DevOps Enablement Engineer & AI Adoption Specialist

EPAM Systems

Remote • Today

Full-time

Data Scientist with .Net experience

Innova Solutions, Inc

Charlotte, North Carolina • 11d ago

Easy Apply

Contract

Depends on Experience

Real-Time Inference Engineering Lead

NTT DATA Americas, Inc

Hybrid in Charlotte, North Carolina • 28d ago

Easy Apply

Contract

$88.85

AI Infrastructure Engineer

Truist

Charlotte, North Carolina • Today

Full-time

Director - Network Engineer - DevOps, AI, CMMC

Maximus, Inc.

Remote • Today

Full-time

USD 164,880.00 per year

Senior AI Platform Engineer (Data and Analytics Cloud Engineer)

Truist

Charlotte, North Carolina • Today

Full-time

USD 130,000.00 - 170,000.00 per year

Developer - Python

Mitchell Martin, Inc.

Charlotte, North Carolina • 28d ago

Easy Apply

Contract, Third Party

$55 - $65

Lead AI Solutions Engineer

Apex Systems

Fort Mill, South Carolina • Today

Easy Apply

Full-time

$75 - $95 per hour

Backend Engineer, Observability

LaunchDarkly

Remote • Today

Full-time

USD 171,200.00 - 235,400.00 per year

Application Programmer III

Mitchell Martin, Inc.

Charlotte, North Carolina • 8d ago

Easy Apply

Contract, Third Party

$45.27 - $64.67

AI Integration Engineer

NTT DATA, Inc.

Charlotte, North Carolina • Today

Full-time

USD 80.00 - 88.00 per hour

Software Engineer

Innova Solutions, Inc

Charlotte, North Carolina • 11d ago

Easy Apply

Contract

Depends on Experience

Platform Engineer - AI Tooling

Sumitomo Mitsui Financial Group, Inc.

Charlotte, North Carolina • Today

Full-time

Senior Data Engineer, Observability Engineering

CVS Health

Remote or Arizona • Today

Full-time

USD 92,700.00 - 222,480.00 per year

Forward Deployed Engineer- Gen AI/Devin AI with Java

Synechron

Hybrid in Charlotte, North Carolina • 30+d ago

Easy Apply

Full-time

135000 - 145000

AI Platform Engineer

Sumitomo Mitsui Financial Group, Inc.

Charlotte, North Carolina • Today

Full-time

Rivago infotech inc

Job Details

Skills

API
Amazon Web Services
Artificial Intelligence
Good Clinical Practice
Evaluation
Grafana
IaaS
Kubernetes
DevOps
Dashboard
Machine Learning Operations (ML Ops)
Python
Microsoft Azure
Performance Analysis
LangChain
Generative Artificial Intelligence (AI)
Incident Management
LangSmith
Docker
Management
LlamaIndex
Reliability Engineering
Testing
New Relic
Analytical Skill
Continuous Integration and Development
Google Cloud Platform
Regression Analysis
Continuous Integration
Cloud Computing

API
Amazon Web Services
Artificial Intelligence
Good Clinical Practice
Evaluation
Grafana
IaaS
Kubernetes
DevOps
Dashboard
Machine Learning Operations (ML Ops)
Python
Microsoft Azure
Performance Analysis
LangChain
Generative Artificial Intelligence (AI)
Incident Management
LangSmith
Docker
Management
LlamaIndex
Reliability Engineering
Testing
New Relic
Analytical Skill
Continuous Integration and Development
Google Cloud Platform
Regression Analysis
Continuous Integration
Cloud Computing

Summary

Role : AI DevOps/Observability Engineer

Location : Charlotte, NC (Onsite)

Persistent Systems

We are seeking a highly skilled AI DevOps/Observability Engineer to join our production operations team. In this role, you will be responsible for the reliability, performance, and operational readiness of our priority Generative AI and LLM agent releases. You will bridge the gap between AI development and production operations by implementing robust telemetry, automated evaluation pipelines, and comprehensive monitoring systems. Your work will ensure our intelligent agents are stable, accurate, efficient, and scale seamlessly in production environments.

Key Responsibilities

Observability & Telemetry: Implement and maintain deep tracing, logging, and telemetry solutions specifically tailored for LLM application architectures and multi-agent workflows.
Monitoring & Insights: Design, build, and maintain production dashboards that track systemic health, infrastructure metrics, and specialized AI performance indicators.
Operational Readiness: Establish actionable alerting systems, define Service Level Objectives (SLOs), curate runtime runbooks, and provide concrete engineering evidence for production readiness.
Evaluation & Testing Pipelines: Develop automated continuous evaluation suites to assess LLM agent behavior, safety, and output quality prior to and during deployment.
Performance Analysis: Analyze prompt efficiency, token usage, latency, and overall model performance to optimize cost, speed, and accuracy.
Production Operations: Support the deployment pipeline, participate in incident management, and continually improve the resilience of our live AI services.

Required Skills and Qualifications

Core Technical Skills

LLM & Agent Evaluation: Experience with framework-based evaluation tools (e.g., Ragas, DeepEval, TruLens) to measure hallucination, faithfulness, and relevancy.
Tracing & Telemetry: Proficiency with LLM-specific tracing tools (e.g., LangSmith, LangFuse, Phoenix, Arize) and open standards like OpenTelemetry.
Metrics & Dashboards: Hands-on experience building monitoring views in platforms like Datadog, PrometheGrafana, New Relic, or cloud-native suites.
Production Alerting & SLOs: Proven ability to define meaningful Service Level Indicators (SLIs) and SLOs, minimizing alert fatigue while maximizing system reliability.
Test Automation: Strong background in integrating automated test frameworks into CI/CD pipelines for continuous integration of AI features.
Prompt & Model Analysis: Analytical mindset to benchmark prompt variants, track regression in model behavior, and profile latency across model providers.

Programming & Operations

Python Mastery: Advanced Python programming skills, including experience with async execution, API integration, and AI frameworks (e.g., LangChain, LlamaIndex).
Production Operations: Solid understanding of cloud infrastructure (AWS/Google Cloud Platform/Azure), containerization (Docker, Kubernetes), and DevOps best practices.

Preferred Qualifications

3+ years of experience operationalizing LLMs or generative AI applications in production.
Experience managing vector databases (e.g., Pinecone, Milvus, Chroma) and tracking RAG pipeline performance.
Background in Site Reliability Engineering (SRE) or specialized MLOps roles.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91131106
Position Id: 9103253
Posted 7 hours ago

Company Info

About Rivago infotech inc

Rivago Infotech Inc has been a leader in IT staffing and Software development for over 5 years and is one of the largest diversity and development firms in the industry. We are known for our high-touch, customer-eccentric approach, offering our clients unmatched quality, responsiveness and flexibility . We are appreciated by our clients for our streamlined execution, highly efficient service and exceptional talent management that go above and beyond traditional staffing services.

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Fitment

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Contact the job poster

Rajat Arora

Recruiter @ Rivago infotech inc

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Rivago infotech inc

Job Details

Skills

API
Amazon Web Services
Artificial Intelligence
Good Clinical Practice
Evaluation
Grafana
IaaS
Kubernetes
DevOps
Dashboard
Machine Learning Operations (ML Ops)
Python
Microsoft Azure
Performance Analysis
LangChain
Generative Artificial Intelligence (AI)
Incident Management
LangSmith
Docker
Management
LlamaIndex
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Testing
New Relic
Analytical Skill
Continuous Integration and Development
Google Cloud Platform
Regression Analysis
Continuous Integration
Cloud Computing

API
Amazon Web Services
Artificial Intelligence
Good Clinical Practice
Evaluation
Grafana
IaaS
Kubernetes
DevOps
Dashboard
Machine Learning Operations (ML Ops)
Python
Microsoft Azure
Performance Analysis
LangChain
Generative Artificial Intelligence (AI)
Incident Management
LangSmith
Docker
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LlamaIndex
Reliability Engineering
Testing
New Relic
Analytical Skill
Continuous Integration and Development
Google Cloud Platform
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Summary

Role : AI DevOps/Observability Engineer

Location : Charlotte, NC (Onsite)

Persistent Systems

Key Responsibilities

Observability & Telemetry: Implement and maintain deep tracing, logging, and telemetry solutions specifically tailored for LLM application architectures and multi-agent workflows.
Monitoring & Insights: Design, build, and maintain production dashboards that track systemic health, infrastructure metrics, and specialized AI performance indicators.
Operational Readiness: Establish actionable alerting systems, define Service Level Objectives (SLOs), curate runtime runbooks, and provide concrete engineering evidence for production readiness.
Evaluation & Testing Pipelines: Develop automated continuous evaluation suites to assess LLM agent behavior, safety, and output quality prior to and during deployment.
Performance Analysis: Analyze prompt efficiency, token usage, latency, and overall model performance to optimize cost, speed, and accuracy.
Production Operations: Support the deployment pipeline, participate in incident management, and continually improve the resilience of our live AI services.

Required Skills and Qualifications

Core Technical Skills

LLM & Agent Evaluation: Experience with framework-based evaluation tools (e.g., Ragas, DeepEval, TruLens) to measure hallucination, faithfulness, and relevancy.
Tracing & Telemetry: Proficiency with LLM-specific tracing tools (e.g., LangSmith, LangFuse, Phoenix, Arize) and open standards like OpenTelemetry.
Metrics & Dashboards: Hands-on experience building monitoring views in platforms like Datadog, PrometheGrafana, New Relic, or cloud-native suites.
Production Alerting & SLOs: Proven ability to define meaningful Service Level Indicators (SLIs) and SLOs, minimizing alert fatigue while maximizing system reliability.
Test Automation: Strong background in integrating automated test frameworks into CI/CD pipelines for continuous integration of AI features.
Prompt & Model Analysis: Analytical mindset to benchmark prompt variants, track regression in model behavior, and profile latency across model providers.

Programming & Operations

Python Mastery: Advanced Python programming skills, including experience with async execution, API integration, and AI frameworks (e.g., LangChain, LlamaIndex).
Production Operations: Solid understanding of cloud infrastructure (AWS/Google Cloud Platform/Azure), containerization (Docker, Kubernetes), and DevOps best practices.

Preferred Qualifications

3+ years of experience operationalizing LLMs or generative AI applications in production.
Experience managing vector databases (e.g., Pinecone, Milvus, Chroma) and tracking RAG pipeline performance.
Background in Site Reliability Engineering (SRE) or specialized MLOps roles.

Dice Id: 91131106
Position Id: 9103253
Posted 7 hours ago

Company Info

About Rivago infotech inc

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Rajat Arora

Recruiter @ Rivago infotech inc

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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