Lead Full-Stack JavaAI Engineer – W2

Lead Full-Stack Java/AI Engineer W2

Location: Charlotte NC 28202 (Hybrid)

Duration: 12 Months with the possibility of extension

Interview: Virtual

Note:
Need a Java full-stack developer with AI development experience.

Need only local candidates.

LinkedIn with location.

Job Overview:

Client is seeking a Lead AI Engineer with deep expertise in Python and Google ADK to join our TCOO Organization and be part of the Wholesale Operations Technology (WOT) this role as an AI engineer you will develop and lead cutting-edge artificial intelligence solutions using large language models agentic frameworks and other innovative technologies. The ideal candidate would have experience in designing developing and deploying applications leveraging LLM models and systems with a strong focus on Prompt Engineering Fine Tuning RAG implementation and Agentic frameworks.

Required Skill:

• 7 years of Software Engineering experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education
• 7 years of experience in software development
• 5 years of Python Java OpenShift containers and other relevant technologies
• 3 years of Hands on experience designing and deploying LLM based applications
• 3 years of AI and ML concepts including deep learning natural language processing and computer vision
• 2 years of Experience with SDLC and Agile tools such as JIRA GitHub Jenkins Confluence etc.

Desired Skill :

• Bachelors or masters degree in computer science artificial intelligence or a related field
• Strong experience with Google Agent Development Kit (ADK) for building productiongrade AI agents
• Knowledge of Chatbots Copilot GPT-4 is preferred
• Advanced Prompt Engineering techniques (instruction design fewshot structured outputs)
• Retrieval Augmented Generation (RAG) design and implementation (vector stores embeddings chunking strategies)
• Experience monitoring model behavior drift accuracy and reliability in production system
• Context management memory handling and guardrails for safe enterprise usage
• Experience with other programming languages such as JavaScript and React
• Certification in AI machine learning or a related field
• Excellent problem-solving skills come up with the ability to troubleshoot and resolve complex technical issues
• Strong collaboration and communication skills come with the ability to work effectively with cross functional teams