Overview
On Site
Hybrid
Hourly
Contract - W2
Skills
Innovation
FOCUS
Software Development Methodology
Test Management
Data Analysis
Microsoft Certified Professional
Root Cause Analysis
Optimization
Generative Artificial Intelligence (AI)
User Experience
Use Cases
Collaboration
Scalability
Scrum
Eclipse
IBM Rational
STS
Design Documentation
Systems Analysis
Problem Solving
Performance Tuning
Access Control
Workflow
Computer Science
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Scripting
Bash
Continuous Delivery
Clustering
Python
Machine Learning (ML)
scikit-learn
TensorFlow
PyTorch
Predictive Analytics
Time Series
Forecasting
Machine Learning Operations (ML Ops)
Artificial Intelligence
DevOps
Terraform
Hyper-V
Virtual Machines
Management
Account Management
BMC
Apache Helix
Issue Tracking
GitHub
Cloud Computing
Training
Continuous Integration
Continuous Integration and Development
Agile
DICE
Job Details
City : Austin
State : Texas
Neos is Seeking an AI Engineer for a contract role for with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA WILL BE CONSIDERED***
The primary work location will be 1609 Centre Creek Dr., Austin, Texas 78754
Position will be 3 days remote with 2 days (Tuesdays and Fridays) required to be onsite
***Subject to change per manager***
Interviews will be conducted both via Teams and ONSITE in Austin.
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
DESCRIPTION OF SERVICES
Develops software solutions by studying information needs, conferring with users, and studying systems flow, data usage, and work processes. Investigates problem areas. Prepares and installs solutions by determining and designing system specifications, standards, and programming.
We are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation. This role is ideal for an engineer passionate about automation and applying AI/ML techniques to improve reliability, observability, and operational workflows. The focus of this role is not to support external AI/ML product teams, but to internally develop AI-driven solutions that optimize SDLC processes, reduce toil, and increase automation maturity across the organization.
Key Responsibilities:
Design and implement AI/ML models that improve SDLC processes in domains, such as:
??o Developer experience and productivity
??o Intelligent test management using data analytics and predictive techniques
??o Predictive infrastructure failure detection
??o Agentic AI, MCP implementation, and RAG techniques
??o Intelligent alerting and noise reduction
??o Automated incident classification and root-cause analysis
??o CI/CD optimization based on historical trends
??o Using GenAI for IaC
??o Any other innovative use-cases.
Work closely with Development, DevOps, and Infrastructure teams to identify automation opportunities and pain points.
Develop automation scripts and tooling to reduce manual tasks, operational efficiencies, and user experience.
Build, deploy, and maintain pipelines to train and continuously improve AI models for DevOps use-cases.
Collaborate with Infrastructure, Cloud, and DevOps teams to create architecture/design documents for proposed solutions.
Ensure operational reliability, scalability, and performance of AI-driven automation tooling.
Integrate AI solutions into monitoring.
Experience with Agile Scrum and DevOps methodologies
Experience working in Developer IDEs, such as Eclipse, IBM Rational Application Developer, STS, etc.
Create technical and design documentation, as required
Perform system analysis, troubleshooting, diagnosis and problem resolution. Analyze software for defects and performance tuning opportunities
GitHub Administration:
- Manage repositories, branching strategies, and access control.
- Automate workflows using GitHub Actions or similar CI/CD tools.
- Maintain code quality and integration processes.
- Define and implement governance rules.
Other duties as assigned.
Bachelor's degree in Computer Science, Engineering, or equivalent experience.
3+ years in Development/Automation roles.
Required Skills & Qualifications:
Strong background in cloud-native infrastructure (AWS, Azure, or Google Cloud Platform).
Proficiency in automation and scripting (Python is preferred, Bash, etc.).
Solid understanding of CI/CD pipelines
Experience with cloud-native technologies
Experience applying AI/ML techniques to solve engineering problems (e.g., anomaly detection, classification, clustering).
Familiarity with Python machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Good understanding of monitoring, logging, and observability tooling.
Preferred Skills:
Experience with anomaly detection, predictive analytics, or time-series forecasting.
Knowledge of MLOps practices (for internal AI models).
Experience integrating AI solutions into DevOps toolchains and platforms.
Familiarity with infrastructure as code (Terraform, Pulumi, CloudFormation).
Some working experience with Hyper-V Virtual Machine Management
Asset and service account management
BMC Helix ticketing system
CANDIDATE SKILLS AND QUALIFICATIONS
8 years Required Proven ability to administer GitHub Enterprise Cloud
8 years Required Proven ability to analyze and resolve complex issues
8 years Required Supporting and training end users on all levels.
8 years Required Hands-on experience with Continuous Integration Delivery models
3 years Preferred Hands-on experience with large development projects using Agile methodology
#DICE
#LI-MF
State : Texas
Neos is Seeking an AI Engineer for a contract role for with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA WILL BE CONSIDERED***
The primary work location will be 1609 Centre Creek Dr., Austin, Texas 78754
Position will be 3 days remote with 2 days (Tuesdays and Fridays) required to be onsite
***Subject to change per manager***
Interviews will be conducted both via Teams and ONSITE in Austin.
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
DESCRIPTION OF SERVICES
Develops software solutions by studying information needs, conferring with users, and studying systems flow, data usage, and work processes. Investigates problem areas. Prepares and installs solutions by determining and designing system specifications, standards, and programming.
We are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation. This role is ideal for an engineer passionate about automation and applying AI/ML techniques to improve reliability, observability, and operational workflows. The focus of this role is not to support external AI/ML product teams, but to internally develop AI-driven solutions that optimize SDLC processes, reduce toil, and increase automation maturity across the organization.
Key Responsibilities:
Design and implement AI/ML models that improve SDLC processes in domains, such as:
??o Developer experience and productivity
??o Intelligent test management using data analytics and predictive techniques
??o Predictive infrastructure failure detection
??o Agentic AI, MCP implementation, and RAG techniques
??o Intelligent alerting and noise reduction
??o Automated incident classification and root-cause analysis
??o CI/CD optimization based on historical trends
??o Using GenAI for IaC
??o Any other innovative use-cases.
Work closely with Development, DevOps, and Infrastructure teams to identify automation opportunities and pain points.
Develop automation scripts and tooling to reduce manual tasks, operational efficiencies, and user experience.
Build, deploy, and maintain pipelines to train and continuously improve AI models for DevOps use-cases.
Collaborate with Infrastructure, Cloud, and DevOps teams to create architecture/design documents for proposed solutions.
Ensure operational reliability, scalability, and performance of AI-driven automation tooling.
Integrate AI solutions into monitoring.
Experience with Agile Scrum and DevOps methodologies
Experience working in Developer IDEs, such as Eclipse, IBM Rational Application Developer, STS, etc.
Create technical and design documentation, as required
Perform system analysis, troubleshooting, diagnosis and problem resolution. Analyze software for defects and performance tuning opportunities
GitHub Administration:
- Manage repositories, branching strategies, and access control.
- Automate workflows using GitHub Actions or similar CI/CD tools.
- Maintain code quality and integration processes.
- Define and implement governance rules.
Other duties as assigned.
Bachelor's degree in Computer Science, Engineering, or equivalent experience.
3+ years in Development/Automation roles.
Required Skills & Qualifications:
Strong background in cloud-native infrastructure (AWS, Azure, or Google Cloud Platform).
Proficiency in automation and scripting (Python is preferred, Bash, etc.).
Solid understanding of CI/CD pipelines
Experience with cloud-native technologies
Experience applying AI/ML techniques to solve engineering problems (e.g., anomaly detection, classification, clustering).
Familiarity with Python machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Good understanding of monitoring, logging, and observability tooling.
Preferred Skills:
Experience with anomaly detection, predictive analytics, or time-series forecasting.
Knowledge of MLOps practices (for internal AI models).
Experience integrating AI solutions into DevOps toolchains and platforms.
Familiarity with infrastructure as code (Terraform, Pulumi, CloudFormation).
Some working experience with Hyper-V Virtual Machine Management
Asset and service account management
BMC Helix ticketing system
CANDIDATE SKILLS AND QUALIFICATIONS
8 years Required Proven ability to administer GitHub Enterprise Cloud
8 years Required Proven ability to analyze and resolve complex issues
8 years Required Supporting and training end users on all levels.
8 years Required Hands-on experience with Continuous Integration Delivery models
3 years Preferred Hands-on experience with large development projects using Agile methodology
#DICE
#LI-MF
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.