Sr Lead Ai Developer

Position: SR LEAD AI DEVELOPER
CANDIDATE HAS TO WORKED ON ARTECH W2

Description:

In this contingent resource assignment, you may:
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.

Required Qualifications:

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.

About this role:

*** 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) team. In 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.

In this role, you will:

• 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, Open Shift 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

Required Qualifications:

• 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, Open Shift 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, Git Hub, Jenkins, Confluence etc.

Desired

Qualifications:

• 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

Custom Fields:
Name:
Reason for Contractor
Value:
Back-Fill existing headcount