Duration: 12 Months with the possibility of extension
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
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
Job description:
Design develop deploy AI applications using LLMs agent frameworks and other related technologies
Collaborate with enterprise teams to integrate LLM models with the existing WOT products and systems
Develop and maintain large scale applications using Java Python OpenShift containers and other relevant technologies
Stay up to date with the latest advancements in AI LLM agentic frameworks and apply this knowledge to improve existing systems and develop new ones
Troubleshoot and resolve complex technical issues related to applications and models
Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
Lead design develop test and implement applications and system components tools and utilities models simulation model drift and analytics to manage complex business functions using sophisticated technologies
Resolve coding testing and escalated platform issues of a technically challenging nature
Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
Collaborate and influence all levels of professionals including managers
Job Title: Lead Full-Stack Java/AI Engineer Location: Charlotte NC 28202 (Hybrid) Duration: 12 Months with the possibility of extension 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 Operation...
Job Title: Lead Full-Stack Java/AI Engineer
Location: Charlotte NC 28202 (Hybrid)
Duration: 12 Months with the possibility of extension
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
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
Job description:
Design develop deploy AI applications using LLMs agent frameworks and other related technologies
Collaborate with enterprise teams to integrate LLM models with the existing WOT products and systems
Develop and maintain large scale applications using Java Python OpenShift containers and other relevant technologies
Stay up to date with the latest advancements in AI LLM agentic frameworks and apply this knowledge to improve existing systems and develop new ones
Troubleshoot and resolve complex technical issues related to applications and models
Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
Lead design develop test and implement applications and system components tools and utilities models simulation model drift and analytics to manage complex business functions using sophisticated technologies
Resolve coding testing and escalated platform issues of a technically challenging nature
Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
Collaborate and influence all levels of professionals including managers