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18 results (3 new)

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Java Gen AI Developer

cyberThink, Inc.

Austin, Texas • Today

Easy Apply

Contract

$60 - $80

AI Java Developer

Apex Systems

Austin, Texas • Today

Easy Apply

Full-time

$60 - $70 per hour

Gen AI Architect

HMG America

Remote • Today

Easy Apply

Full-time

$DOE

Gen AI Engineer

nFolks Data Solutions

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Full Stack Developer with Gen AI

QUANTUM TECHNOLOGIES LLC

Remote • Today

Easy Apply

Contract

$180,000 - $200,000

Gen AI Architect

Vitosha Inc

Remote • Today

Easy Apply

Contract

65 - 70

Lead Java AI Engineer

EPAM Systems

Remote • Today

Full-time

Key Java AI Engineer

EPAM Systems

Remote • Today

Full-time

Oracle AI Developer

Aasritha infotech Inc

Remote • Today

Easy Apply

Contract

Depends on Experience

Agentic AI Developer

Kforce Technology Staffing

Remote or New York, New York • Today

Contract, Third Party

$82.84 - $95.44 hourly

AI Developer

Booz Allen Hamilton

Remote • Today

Full-time

USD 77,500.00 - 176,000.00 per year

AI Developer

Booz Allen Hamilton

Remote • Today

Full-time

USD 77,500.00 - 176,000.00 per year

AI Developer

Booz Allen Hamilton

Remote • Today

Full-time

USD 77,500.00 - 176,000.00 per year

AI Developer

Booz Allen Hamilton

Remote • Today

Full-time

USD 77,500.00 - 176,000.00 per year

GenAI Developer

Xenith Solutions LLC

Remote or Ashburn, Virginia • Today

Full-time

USD 115,000.00 - 165,000.00 per year

Gen AI Architect

Reliable Software Resources

Remote • 4d ago

Easy Apply

Contract

Depends on Experience

Sr. Engineer, Software

Verint Systems Inc

Remote • Today

Full-time

USD 142,000.00 - 175,000.00 per year

Generative/Agentic AI Engineer

AspireIT Solutions

Remote • 5d ago

Easy Apply

Third Party, Contract

$65 - $70

Job Details

Skills

API
Agile
Amazon Web Services
Apache Kafka
Artificial Intelligence
Atlassian
Code Refactoring
Automated Testing
Behavior-driven Development
Caching
Computer Science
Cloud Computing
Code Review
Collaboration
Command-line Interface
Communication
Confluence
Continuous Delivery
Continuous Integration
Database
Design Documentation
Information Technology
JIRA
JSON
High Availability
IBM WebSphere MQ
Generative Artificial Intelligence (AI)
IT Transformation
Large Language Models (LLMs)
Good Clinical Practice
Google Cloud Platform
Messaging
Microservices
IDE
IT Management
Java
Kubernetes
Machine Learning (ML)
Mentorship
Distributed Computing
Documentation
FOCUS
Financial Services
GitHub
MongoDB
NoSQL
Oracle
Orchestration
Performance Analysis
Performance Engineering
RESTful
Regression Analysis
Root Cause Analysis
XML
Spring Framework
Software Development Methodology
Software Engineering
Specification Gathering
PostgreSQL
Prompt Engineering
Quality Assurance
Scripting

API
Agile
Amazon Web Services
Apache Kafka
Artificial Intelligence
Atlassian
Code Refactoring
Automated Testing
Behavior-driven Development
Caching
Computer Science
Cloud Computing
Code Review
Collaboration
Command-line Interface
Communication
Confluence
Continuous Delivery
Continuous Integration
Database
Design Documentation
Information Technology
JIRA
JSON
High Availability
IBM WebSphere MQ
Generative Artificial Intelligence (AI)
IT Transformation
Large Language Models (LLMs)
Good Clinical Practice
Google Cloud Platform
Messaging
Microservices
IDE
IT Management
Java
Kubernetes
Machine Learning (ML)
Mentorship
Distributed Computing
Documentation
FOCUS
Financial Services
GitHub
MongoDB
NoSQL
Oracle
Orchestration
Performance Analysis
Performance Engineering
RESTful
Regression Analysis
Root Cause Analysis
XML
Spring Framework
Software Development Methodology
Software Engineering
Specification Gathering
PostgreSQL
Prompt Engineering
Quality Assurance
Scripting

Summary

**Onsite schedule in Austin or Southlake. TX**

Job Description:

As a Senior Java AI Developer, this role will lead AI-focused workflows across the System Development Life Cycle. You will work at the intersection of Java engineering, event-driven architectures, cloud-native platforms, and Generative AI-assisted delivery to build intelligent, reliable systems that support Client clients and business capabilities.

Required Qualifications:

Core Technical Qualifications:

Demonstrated experience leading the design and implementation of highly scalable, resilient, and event-driven applications using Java, Spring Boot, Kafka, and cloud-native architectures.
Strong knowledge of distributed systems, stream processing, performance optimization, resiliency patterns, observability patterns, and high-availability application design.
Experience designing and implementing RESTful services, microservices, asynchronous message flows, and integration patterns for high-volume enterprise platforms.
Working experience with Kafka, IBM MQ or equivalent messaging platforms, Splunk or equivalent observability tools, JSON/XML, caching, performance analysis, profiling, and production troubleshooting.
Experience being a technical lead for a team and/or project, including solution design, engineering standards, code review practices, and technical delivery ownership.

AI-Enabled Engineering Qualifications:

Demonstrated hands-on experience using GenAI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while maintaining ownership for correctness, quality, and engineering validation.
Practical familiarity with tools such as GitHub Copilot and/or Claude Code in IDE or CLI-based workflows, with the ability to apply AI assistance to reduce context switching and accelerate delivery beyond code generation.
Working knowledge of agentic workflows, spec-driven development, custom instructions, and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
Ability to apply AI-assisted approaches responsibly for code generation, test generation, technical documentation, root cause analysis support, modernization analysis, and development workflow optimization.

Education and Experience:

Bachelor s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
7+ years of professional software engineering experience developing scalable, high-performance Java, cloud-based, and web services applications that support high-volume transactions in highly available environments.
6+ years of experience building and deploying cloud-native applications using Google Cloud Platform, Docker, Kubernetes, microservices, and CI/CD practices.
Experience with cloud platforms and deployment environments such as PCF, AWS, or Google Cloud Platform.
2+ years of experience working with databases such as MongoDB, Aerospike, PostgreSQL, Oracle, or comparable relational and NoSQL platforms.
2+ years prior experience in IT transformation and system modernization initiatives from legacy platforms to distributed Java, cloud-native, and event-driven architectures.
2+ years of hands-on experience with AI/ML implementation, AI-assisted engineering practices, or production deployment of AI-enabled solutions.
Hands-on experience or practical exposure to Large Language Models such as GPT, Claude, Gemini, or comparable enterprise AI platforms.
Knowledge of Agile methodology and experience in an Agile working environment.
Experience with Atlassian tool stack such as Jira and Confluence.
Domain / Industry: Understands broker-dealer domain capabilities and operations, with preferred experience in the financial services industry.
Communication: Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment.
Execution Focus: Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, product owners, and adjacent teams to drive outcomes.

Preferred Qualifications:

Master s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or related degree, or equivalent practical experience.
Experience in Test Driven Development, Behavior Driven Development, QA automation, and quality engineering mindset and behaviors.
Experience with Spring Cloud, Spring Security, reactive programming, API gateways, service mesh, or comparable Java ecosystem capabilities.
Experience with performance engineering, reliability testing, resiliency testing, and operational readiness practices for high-volume distributed platforms.
Proficient in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and production/test environment documentation.
Familiarity with Retrieval-Augmented Generation, vector databases, AI orchestration patterns, agent-based workflows, or enterprise AI platform integration is a plus.

Key Responsibilities:

Lead design and development of Java-based, cloud-native, event-driven applications that are scalable, resilient, observable, and performant.
Build and modernize services using Java, Spring Boot, Kafka, REST APIs, CI/CD pipelines, container platforms, and distributed system patterns.
Partner with architects, developers, product owners, and cross-functional teams to translate business capabilities into high-quality technical solutions.
Use GenAI-assisted development tools to accelerate implementation, refactoring, unit testing, documentation, troubleshooting, modernization analysis, and engineering workflow improvements.
Establish responsible AI-assisted development practices, including reusable prompts, custom instructions, review expectations, validation standards, and team-level adoption patterns.
Drive engineering quality through code reviews, automated testing, observability, resiliency validation, performance tuning, and production readiness practices.
Mentor engineers on Java engineering standards, distributed architecture, cloud-native design, event streaming, and AI-augmented SDLC practices.
Contribute to modernization initiatives by moving legacy capabilities toward distributed Java services, event-driven platforms, and cloud-native operating models.

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: cybrthnk
Position Id: 9046022
Posted 3 hours ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Contact the job poster

Praveen Sathravada

Recruiter @ cyberThink, Inc.

View Profile

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Job Details

Skills

API
Agile
Amazon Web Services
Apache Kafka
Artificial Intelligence
Atlassian
Code Refactoring
Automated Testing
Behavior-driven Development
Caching
Computer Science
Cloud Computing
Code Review
Collaboration
Command-line Interface
Communication
Confluence
Continuous Delivery
Continuous Integration
Database
Design Documentation
Information Technology
JIRA
JSON
High Availability
IBM WebSphere MQ
Generative Artificial Intelligence (AI)
IT Transformation
Large Language Models (LLMs)
Good Clinical Practice
Google Cloud Platform
Messaging
Microservices
IDE
IT Management
Java
Kubernetes
Machine Learning (ML)
Mentorship
Distributed Computing
Documentation
FOCUS
Financial Services
GitHub
MongoDB
NoSQL
Oracle
Orchestration
Performance Analysis
Performance Engineering
RESTful
Regression Analysis
Root Cause Analysis
XML
Spring Framework
Software Development Methodology
Software Engineering
Specification Gathering
PostgreSQL
Prompt Engineering
Quality Assurance
Scripting

API
Agile
Amazon Web Services
Apache Kafka
Artificial Intelligence
Atlassian
Code Refactoring
Automated Testing
Behavior-driven Development
Caching
Computer Science
Cloud Computing
Code Review
Collaboration
Command-line Interface
Communication
Confluence
Continuous Delivery
Continuous Integration
Database
Design Documentation
Information Technology
JIRA
JSON
High Availability
IBM WebSphere MQ
Generative Artificial Intelligence (AI)
IT Transformation
Large Language Models (LLMs)
Good Clinical Practice
Google Cloud Platform
Messaging
Microservices
IDE
IT Management
Java
Kubernetes
Machine Learning (ML)
Mentorship
Distributed Computing
Documentation
FOCUS
Financial Services
GitHub
MongoDB
NoSQL
Oracle
Orchestration
Performance Analysis
Performance Engineering
RESTful
Regression Analysis
Root Cause Analysis
XML
Spring Framework
Software Development Methodology
Software Engineering
Specification Gathering
PostgreSQL
Prompt Engineering
Quality Assurance
Scripting

Summary

**Onsite schedule in Austin or Southlake. TX**

Job Description:

Required Qualifications:

Core Technical Qualifications:

Demonstrated experience leading the design and implementation of highly scalable, resilient, and event-driven applications using Java, Spring Boot, Kafka, and cloud-native architectures.
Strong knowledge of distributed systems, stream processing, performance optimization, resiliency patterns, observability patterns, and high-availability application design.
Experience designing and implementing RESTful services, microservices, asynchronous message flows, and integration patterns for high-volume enterprise platforms.
Working experience with Kafka, IBM MQ or equivalent messaging platforms, Splunk or equivalent observability tools, JSON/XML, caching, performance analysis, profiling, and production troubleshooting.
Experience being a technical lead for a team and/or project, including solution design, engineering standards, code review practices, and technical delivery ownership.

AI-Enabled Engineering Qualifications:

Demonstrated hands-on experience using GenAI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while maintaining ownership for correctness, quality, and engineering validation.
Practical familiarity with tools such as GitHub Copilot and/or Claude Code in IDE or CLI-based workflows, with the ability to apply AI assistance to reduce context switching and accelerate delivery beyond code generation.
Working knowledge of agentic workflows, spec-driven development, custom instructions, and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
Ability to apply AI-assisted approaches responsibly for code generation, test generation, technical documentation, root cause analysis support, modernization analysis, and development workflow optimization.

Education and Experience:

Bachelor s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
7+ years of professional software engineering experience developing scalable, high-performance Java, cloud-based, and web services applications that support high-volume transactions in highly available environments.
6+ years of experience building and deploying cloud-native applications using Google Cloud Platform, Docker, Kubernetes, microservices, and CI/CD practices.
Experience with cloud platforms and deployment environments such as PCF, AWS, or Google Cloud Platform.
2+ years of experience working with databases such as MongoDB, Aerospike, PostgreSQL, Oracle, or comparable relational and NoSQL platforms.
2+ years prior experience in IT transformation and system modernization initiatives from legacy platforms to distributed Java, cloud-native, and event-driven architectures.
2+ years of hands-on experience with AI/ML implementation, AI-assisted engineering practices, or production deployment of AI-enabled solutions.
Hands-on experience or practical exposure to Large Language Models such as GPT, Claude, Gemini, or comparable enterprise AI platforms.
Knowledge of Agile methodology and experience in an Agile working environment.
Experience with Atlassian tool stack such as Jira and Confluence.
Domain / Industry: Understands broker-dealer domain capabilities and operations, with preferred experience in the financial services industry.
Communication: Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment.
Execution Focus: Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, product owners, and adjacent teams to drive outcomes.

Preferred Qualifications:

Master s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or related degree, or equivalent practical experience.
Experience in Test Driven Development, Behavior Driven Development, QA automation, and quality engineering mindset and behaviors.
Experience with Spring Cloud, Spring Security, reactive programming, API gateways, service mesh, or comparable Java ecosystem capabilities.
Experience with performance engineering, reliability testing, resiliency testing, and operational readiness practices for high-volume distributed platforms.
Proficient in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and production/test environment documentation.
Familiarity with Retrieval-Augmented Generation, vector databases, AI orchestration patterns, agent-based workflows, or enterprise AI platform integration is a plus.

Key Responsibilities:

Lead design and development of Java-based, cloud-native, event-driven applications that are scalable, resilient, observable, and performant.
Build and modernize services using Java, Spring Boot, Kafka, REST APIs, CI/CD pipelines, container platforms, and distributed system patterns.
Partner with architects, developers, product owners, and cross-functional teams to translate business capabilities into high-quality technical solutions.
Use GenAI-assisted development tools to accelerate implementation, refactoring, unit testing, documentation, troubleshooting, modernization analysis, and engineering workflow improvements.
Establish responsible AI-assisted development practices, including reusable prompts, custom instructions, review expectations, validation standards, and team-level adoption patterns.
Drive engineering quality through code reviews, automated testing, observability, resiliency validation, performance tuning, and production readiness practices.
Mentor engineers on Java engineering standards, distributed architecture, cloud-native design, event streaming, and AI-augmented SDLC practices.
Contribute to modernization initiatives by moving legacy capabilities toward distributed Java services, event-driven platforms, and cloud-native operating models.

Dice Id: cybrthnk
Position Id: 9046022
Posted 3 hours ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Contact the job poster

Praveen Sathravada

Recruiter @ cyberThink, Inc.

View Profile

Create job alert

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

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