Agentic AI Engineer

$69.5 - $76.16 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