Overview
Skills
Job Details
Title - AI Full-Stack Engineer (Java + GenAI)
Location-Onsite @Charlotte, NC-Need Locals Only
Duration Contract
Need 10+ Years Exp Only
Job Summary
We are seeking an AI Full-Stack Engineer with strong Java backend experience and hands-on expertise in Generative AI, agentic systems, and Machine Learning. This role combines enterprise-grade full-stack development with the ability to design and build AI-driven applications using modern AI frameworks and tools. The ideal candidate is comfortable working in complex environments, collaborating with cross-functional teams, and delivering production-grade AI features.
Key Responsibilities
AI & ML Engineering
- Design, develop, and deploy solutions using Generative AI, LLMs, and agentic workflows.
- Build and optimize AI/ML pipelines, fine-tune models, and integrate AI components into enterprise applications.
- Experiment with new AI frameworks, libraries, and architectures to improve performance and capabilities.
- Implement AI-driven features such as intelligent agents, conversational workflows, automation, and predictive logic.
Backend Engineering (Java)
- Develop robust backend services using Java (8+), Spring Boot, REST APIs, and microservices architecture.
- Work with JPA/Hibernate, relational databases (PostgreSQL, MySQL), and optionally NoSQL datastores.
- Ensure scalability, security, performance, and reliability of backend systems.
Full-Stack Development
- Contribute to UI development and end-to-end solution delivery.
- Collaborate with product, design, and engineering teams to build complete, user-centric AI applications.
Enterprise Collaboration
- Work within a large, multi-team enterprise environment involving cross-functional stakeholders.
- Participate in Agile ceremonies, code reviews, architectural discussions, and production deployments.
Required Skills & Qualifications
- 10 years of experience building full-stack or backend applications using Java and Spring Boot.
- Strong foundation in RESTful APIs, microservices, JPA/Hibernate, SQL (PostgreSQL/MySQL), and familiarity with NoSQL.
- Hands-on experience with Generative AI, LLMs, or AI-based application development.
- Experience in building agentic systems (LLM agents, agent frameworks, AI orchestration).
- Strong Machine Learning skills model training, fine-tuning, vector databases, embeddings, or AI pipeline development.
- Experience integrating AI features into production-grade applications.
- Exposure to frontend technologies (React, Angular, Vue, or similar) is a plus.
Preferred Skills
- Experience with LangChain, LlamaIndex, or other agentic frameworks.
- Cloud experience (AWS, Google Cloud Platform, Azure) for AI workloads.
- Understanding of DevOps, CI/CD, containerization (Docker/Kubernetes).
- Experience working in complex enterprise environments.
Regards,
Sai Srikar
Email: