What are the responsibilities and job description for the Java Ai SW Engineer Contract to Hire position at Vega Consulting Solutions?
Vega is Hiring! Java SW engineer with Ai experience. This is an opportunity to join a team and drive innovation in AI-powered test automation. This role focuses on building and maintaining intelligent test automation infrastructure on AWS with emphasis on self-healing scripts and AI-driven testing solutions.
W2 Candidates - Must be eligible for direct perm employment. Sponsorship is not available.
Key Responsibilities
- Design, develop, and maintain automated test scripts and frameworks
- Deploy and congure reliable automation assets in CloudBees CI/CD pipelines
- Troubleshoot and resolve technical issues with automation infrastructure
- Create AI-based automation solutions using AWS Bedrock and frameworks like LangChain
- Integrate AI agents and solutions with existing automation platforms
- Implement self-healing test scripts and Intelligent Test Automation (ITA) strategies
- Apply context engineering to ensure AI-driven testing relevance and coverage
Required Technical Skills Programming Languages: Python, JavaScript/TypeScript, Java, SQL, Unix Shell
- AI/ML Frameworks: AWS Bedrock, LangChain, Pandas, and other popular Machine Learning libraries
- Test Automation: Selenium, Playwright, API testing frameworks
- Cloud & DevOps: AWS services, Docker, Kubernetes, Git
- CI/CD: CloudBees, Jenkins, pipeline automation Infrastructure: Test environment setup and maintenance
Key Qualications
- Bachelor's degree in Computer Science, IT, or related eld
- 5 years of experience in software Development and testing and test automation
- Proven experience with AI tools for test generation, refactoring, and self-healing Strong understanding of DevOps practices and CI/CD pipelines
- Experience building and scaling testing agents
- Knowledge of context engineering for AI-driven testing
Preferred Skills
- Experience with modern testing frameworks such as Selenium and or Playwrite
- Background in machine learning or AI applications
- Experience with microservices and containerized applications
Soft Skills
- Strong analytical and problem-solving abilities
- Excellent communication and collaboration skills
- Adaptability to rapidly evolving AI and automation technologies
- Strategic thinking with focus on testing efciency and coverage Self-motivated with ability to work independently
What We Offer
- Opportunity to work with cutting-edge AI and automation technologies
- Collaborative environment focused on innovation Professional development in AI/ML and cloud technologies
- Must be local to DMV area.
Select Apply Now - and a Vega Staffing Specialist will reach out to you.