AI Engineer

Job Overview: Pay Range $50hr - $55hr Requirement/Must Have: 5+ years of experience in AI Engineer roles. Strong experience in Java-based enterprise application development. Hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions. Responsibilities: Design, develop, and maintain enterprise-grade applications using Java 17+, Spring Boot, and Microservices Architecture. Build and consume RESTful APIs for system integrations and AI-powered services. Integrate Generative AI/LLM-based capabilities into enterprise applications and business processes. Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. Design AI orchestration workflows using frameworks such as LangChain, Semantic Kernel, or similar AI orchestration platforms. Engineer prompts and contextual workflows to improve LLM response quality and relevance. Implement robust AI response validation, guardrails, and monitoring mechanisms. Build intelligent solutions for transcript processing, summarization, content generation, and AI-assisted documentation creation. Collaborate with business stakeholders to identify and automate workflow opportunities using AI technologies. Develop responsive and user-friendly front-end applications using Angular, TypeScript, HTML5, and CSS. Ensure scalability, performance, security, and reliability of AI-enabled applications. Participate in architecture discussions, code reviews, and best practice implementation. Nice to Have: Experience delivering AI-powered enterprise solutions in Healthcare or regulated industries. Knowledge of vector databases, embeddings, and semantic search technologies. Experience integrating AI solutions with business applications and workflow platforms. Understanding of AI governance, security, and responsible AI practices. Exposure to Azure cloud services and AI infrastructure. Skills: Backend Development: Java 17+, Spring Boot, REST API Development, Microservices Architecture, Event-Driven Architecture, API Integration & Development. Frontend Development: Angular (Preferred), TypeScript, HTML5, CSS3, Responsive UI Development. Generative AI & LLM Technologies: Generative AI Application Development, Azure OpenAI / OpenAI APIs, Prompt Engineering, AI Orchestration Frameworks (LangChain, Semantic Kernel, etc.), Retrieval Augmented Generation (RAG), Context Assembly and Knowledge Retrieval for LLMs, AI Response Validation & Guardrails, AI Workflow Integration, Transcript Processing and Summarization, AI-Assisted Documentation Generation. Education and Experience: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work in Agile/Scrum development environments. Passion for emerging AI technologies and innovation. Strong collaboration and cross-functional teamwork skills. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.