Location: Richardson, TX
Contract Duration: 12 Months
Experience Required: 8–10 Years
Job Description
We are seeking an experienced GenAI Software Engineer with strong expertise in Java Full Stack development, Generative AI, and Large Language Model (LLM) architectures.
The ideal candidate will have hands-on experience developing enterprise applications and building end-to-end AI-powered solutions using Java, Python, APIs, data pipelines, cloud services, and Generative AI technologies.
Experience working in healthcare, financial services, or other highly regulated enterprise environments is preferred.
Primary Skills
Java
Java Full Stack Development
Generative AI
Large Language Models (LLMs)
Python
LLM Architecture
REST APIs
Cloud Services
Secondary Skills
Prompt Engineering
AI Agents
Agentic AI
Data Pipelines
End-to-End Solution Development
Healthcare Domain
Financial Services Domain
Enterprise Application Development
Client Stakeholder Management
Workflow Analysis
Roles & Responsibilities
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Design, develop, and maintain enterprise applications using Java Full Stack technologies.
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Build and implement AI-powered solutions using Generative AI and Large Language Models.
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Develop end-to-end solutions using Python, Java, APIs, data pipelines, and cloud services.
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Work with LLMs, prompts, and AI agents to develop intelligent enterprise solutions.
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Collaborate directly with client stakeholders to understand business workflows, pain points, and technical requirements.
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Translate business requirements into clear technical solutions and AI use cases.
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Design and develop scalable applications integrating Generative AI capabilities.
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Work with cross-functional teams to deliver enterprise-grade software solutions.
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Ensure application quality, scalability, performance, and reliability.
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Support AI solution development in regulated environments such as healthcare and financial services.
Required Qualifications
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8–10 years of overall IT experience.
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Minimum 5 years of experience in Java Full Stack development.
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1–2+ years of hands-on experience with Generative AI and LLM architectures.
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Strong programming experience in Java and Python.
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Understanding of APIs, data pipelines, and cloud services.
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Experience building solutions using LLMs, prompts, and AI agents.
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Ability to work directly with client stakeholders.
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Exposure to healthcare, financial services, or other highly regulated enterprise environments.
Preferred Qualifications
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Experience developing client-focused AI solutions.
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Knowledge of prompt engineering and Agentic AI.
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Experience integrating LLMs into enterprise applications.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.