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Senior Java AI Engineer (Local candidate's Only)

Shiro Technologies

Blue Bell, Pennsylvania • Today

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Information Technology
Document Review
Enterprise Software
Development Testing
Docker
Drools
Data Modeling
Decision Support
DevOps
DevSecOps
Continuous Improvement
Continuous Integration
Computer Science
Conflict Resolution
Collaboration
Communication
Continuous Delivery
Artificial Intelligence
Attention To Detail
Amazon Web Services
Analytics
RESTful
Performance Tuning
PostgreSQL
Problem Solving
Microsoft Azure
OCI
Oracle
Orchestration
Kubernetes
Machine Learning (ML)
Microservices
Health Care
Healthcare Information Technology
Cloud Computing
Code Review
Spring Framework
Team Building
Workflow
Software Development Methodology
Testing
Training
Relational Databases
SAFE
SQL
Shipping
Debugging
Finance
IO
Java
Routing
jBPM
Agile

Information Technology
Document Review
Enterprise Software
Development Testing
Docker
Drools
Data Modeling
Decision Support
DevOps
DevSecOps
Continuous Improvement
Continuous Integration
Computer Science
Conflict Resolution
Collaboration
Communication
Continuous Delivery
Artificial Intelligence
Attention To Detail
Amazon Web Services
Analytics
RESTful
Performance Tuning
PostgreSQL
Problem Solving
Microsoft Azure
OCI
Oracle
Orchestration
Kubernetes
Machine Learning (ML)
Microservices
Health Care
Healthcare Information Technology
Cloud Computing
Code Review
Spring Framework
Team Building
Workflow
Software Development Methodology
Testing
Training
Relational Databases
SAFE
SQL
Shipping
Debugging
Finance
IO
Java
Routing
jBPM
Agile

Summary

Overview:
Cotiviti is a leading solutions and analytics company that leverages unparalleled clinical and financial datasets to deliver deep insight into the performance of the healthcare system -- helping healthcare organizations improve financial performance, reduce inefficiency, and improve quality. The Senior Software Engineer I (AI) is a senior individual contributor on a small, focused AI-Native team, building production software using AI-native development workflows under the guidance of the AI-Native Tech Lead. AI Engineers use AI tools (Claude, Copilot) as a first-class part of their daily workflow to accelerate development, testing, and feedback loops -- applied on top of a strong backend/enterprise foundation in Java, Spring Boot, microservices, and workflow orchestration platforms. This role is not focused on training AI models or building ML pipelines; it is about building software efficiently, safely, and at high quality using AI-assisted engineering practices.

Responsibilities:

AI-Native Engineering
Build and enhance production-grade Java/Spring Boot backend services, APIs, and microservices using AI-assisted workflows (Claude, Copilot) for coding, testing, debugging, and documentation.
Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability.
Integrate services with workflow orchestration platforms (e.g., Temporal.io, Camunda) to support automation, intelligent routing, and decision support.
Orchestrate AI tool usage across development activities and help refine AI-native engineering standards set by the Tech Lead.

Collaboration & Delivery

Collaborate with the AI-Native Tech Lead, data teams, and adjacent teams to deliver features end-to-end, balancing speed, quality, and long-term maintainability.
Participate in design discussions and code reviews; communicate technical issues and tradeoffs clearly to engineering and product stakeholders.

Quality & Continuous Improvement:

Ensure adherence to Cotiviti technology standards, secure coding practices, and SDLC requirements; resolve production issues and improve system performance and reliability.
Contribute to CI/CD, DevSecOps, and cloud-native deployments (OpenShift/Kubernetes, AWS).
Continuously build AI-assisted development knowledge and help improve team engineering practices. Complete all responsibilities on the annual Performance Plan and any special projects/duties as assigned.

Required Qualifications:

BS or MS in Computer Science, Information Technology, Engineering, or equivalent experience.
5+ years of professional backend/enterprise software engineering experience.
Strong proficiency in Java, Spring Boot, and microservices architecture, with solid REST API and integration-pattern experience.
Demonstrated experience building and shipping production applications, using AI-assisted tools (Claude, Copilot, or similar) as part of daily workflow.
Strong debugging, problem-solving, and code-review skills, with a detail-oriented, ownership-driven approach to quality.
Experience with relational databases/SQL (PostgreSQL/Oracle), data modeling, and performance tuning.
Experience with event-driven/distributed systems and CI/CD, DevOps, and container/cloud platforms (OpenShift, Kubernetes, AWS).
Exposure to workflow orchestration platforms (Temporal, Camunda, Flowable, JBPM, or Drools).
Strong communication and collaboration skills; ability to learn quickly in a fast-evolving technical environment; Agile experience (SAFe preferred).

Preferred Qualifications:

Experience building workflow-driven or decision-automation solutions, or with enterprise workflow platforms (Temporal.io or similar).
Exposure to AI-native development practices, prompt-assisted workflows, and governance practices for AI-assisted development.
Experience contributing to shared platforms/integration frameworks, or building internal developer tools and automation.
Experience with cloud platforms (AWS, Azure, OCI) and containerization (Docker, Kubernetes).
Background in Healthcare IT or regulated environments.

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: 10481525
Position Id: 9090751
Posted 5 hours ago

Fitment

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Alex Pesci

Seasoned Recruiting Manager with a Passion for Talent Acquisition @ Shiro Technologies

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Job Details

Skills

Information Technology
Document Review
Enterprise Software
Development Testing
Docker
Drools
Data Modeling
Decision Support
DevOps
DevSecOps
Continuous Improvement
Continuous Integration
Computer Science
Conflict Resolution
Collaboration
Communication
Continuous Delivery
Artificial Intelligence
Attention To Detail
Amazon Web Services
Analytics
RESTful
Performance Tuning
PostgreSQL
Problem Solving
Microsoft Azure
OCI
Oracle
Orchestration
Kubernetes
Machine Learning (ML)
Microservices
Health Care
Healthcare Information Technology
Cloud Computing
Code Review
Spring Framework
Team Building
Workflow
Software Development Methodology
Testing
Training
Relational Databases
SAFE
SQL
Shipping
Debugging
Finance
IO
Java
Routing
jBPM
Agile

Information Technology
Document Review
Enterprise Software
Development Testing
Docker
Drools
Data Modeling
Decision Support
DevOps
DevSecOps
Continuous Improvement
Continuous Integration
Computer Science
Conflict Resolution
Collaboration
Communication
Continuous Delivery
Artificial Intelligence
Attention To Detail
Amazon Web Services
Analytics
RESTful
Performance Tuning
PostgreSQL
Problem Solving
Microsoft Azure
OCI
Oracle
Orchestration
Kubernetes
Machine Learning (ML)
Microservices
Health Care
Healthcare Information Technology
Cloud Computing
Code Review
Spring Framework
Team Building
Workflow
Software Development Methodology
Testing
Training
Relational Databases
SAFE
SQL
Shipping
Debugging
Finance
IO
Java
Routing
jBPM
Agile

Summary

Responsibilities:

AI-Native Engineering
Build and enhance production-grade Java/Spring Boot backend services, APIs, and microservices using AI-assisted workflows (Claude, Copilot) for coding, testing, debugging, and documentation.
Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability.
Integrate services with workflow orchestration platforms (e.g., Temporal.io, Camunda) to support automation, intelligent routing, and decision support.
Orchestrate AI tool usage across development activities and help refine AI-native engineering standards set by the Tech Lead.

Collaboration & Delivery

Collaborate with the AI-Native Tech Lead, data teams, and adjacent teams to deliver features end-to-end, balancing speed, quality, and long-term maintainability.
Participate in design discussions and code reviews; communicate technical issues and tradeoffs clearly to engineering and product stakeholders.

Quality & Continuous Improvement:

Ensure adherence to Cotiviti technology standards, secure coding practices, and SDLC requirements; resolve production issues and improve system performance and reliability.
Contribute to CI/CD, DevSecOps, and cloud-native deployments (OpenShift/Kubernetes, AWS).
Continuously build AI-assisted development knowledge and help improve team engineering practices. Complete all responsibilities on the annual Performance Plan and any special projects/duties as assigned.

Required Qualifications:

BS or MS in Computer Science, Information Technology, Engineering, or equivalent experience.
5+ years of professional backend/enterprise software engineering experience.
Strong proficiency in Java, Spring Boot, and microservices architecture, with solid REST API and integration-pattern experience.
Demonstrated experience building and shipping production applications, using AI-assisted tools (Claude, Copilot, or similar) as part of daily workflow.
Strong debugging, problem-solving, and code-review skills, with a detail-oriented, ownership-driven approach to quality.
Experience with relational databases/SQL (PostgreSQL/Oracle), data modeling, and performance tuning.
Experience with event-driven/distributed systems and CI/CD, DevOps, and container/cloud platforms (OpenShift, Kubernetes, AWS).
Exposure to workflow orchestration platforms (Temporal, Camunda, Flowable, JBPM, or Drools).
Strong communication and collaboration skills; ability to learn quickly in a fast-evolving technical environment; Agile experience (SAFe preferred).

Preferred Qualifications:

Experience building workflow-driven or decision-automation solutions, or with enterprise workflow platforms (Temporal.io or similar).
Exposure to AI-native development practices, prompt-assisted workflows, and governance practices for AI-assisted development.
Experience contributing to shared platforms/integration frameworks, or building internal developer tools and automation.
Experience with cloud platforms (AWS, Azure, OCI) and containerization (Docker, Kubernetes).
Background in Healthcare IT or regulated environments.

Dice Id: 10481525
Position Id: 9090751
Posted 5 hours ago

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

Alex Pesci

Seasoned Recruiting Manager with a Passion for Talent Acquisition @ Shiro Technologies

View Profile

Create job alert

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

Similar Jobs

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