Artificial Intelligence Engineer

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 6 Months

Required Skills & Experience

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting 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 data engineering
• 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.
• 5 years Python and/or Java Programming
• 3 years of AI, machine learning, and designing and deploying LLM apps
• 3 years data engineering (any tech)
• Jira, Github, Jenkins, Confluence
• At least 1 of (ideally 2) Google ADK, Langraph, Langchain
• Hackerrank/Glider, test Java, ideally Python and/or AI too
• Team Player/communicative/takes initiative

Desired Skills & Experience

• Bachelor’s or master’s degree in computer science, artificial intelligence or a related field
• Strong experience with Google Agent Development Kit (ADK) for building production grade AI agents
• Knowledge of Chatbots, Copilot, GPT-4 is preferred
• Advanced Prompt Engineering techniques (instruction design, few shot, 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
• OCP
• Retrieval Augmented Generation (RAG)

What You Will Be Doing

• Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
• Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
• Strategically collaborate and consult with client personnel.
• Design, develop, deploy AI applications using LLM's, 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
• Mentor junior software engineers and collaborate with other leads on the implementation of AI solutions