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Gen AI Developer

📁
Lead Software Engineer
📅
CREQ230328 Requisition #
P2
C3
STS
Lead end-to-end solutioning of AI agents and agentic workflows, including design, development, testing, and deployment.
Build business cases, conduct process reviews, perform data analysis, and document business requirements.
Apply prompt and context engineering techniques to optimize AI model performance.
Work with cutting edge Generative AI models such as OpenAI (ChatGPT), Anthropic, Microsoft, and Meta (LLaMA).
Develop and deploy AI solutions using Python, Java, and frameworks like Flask, integrating with APIs and App Engine.
Implement and manage CI/CD pipelines for efficient and secure deployment.
Ensure secure handling of API keys, passwords, and tokens across environments.
Use Docker for containerization and GitHub for version control and collaborative development.
Conduct testing of AI agents and workflows to ensure reliability, accuracy, and performance.Collaborate with cross-functional teams to identify business problems and apply AI-driven solutions.
Mentor Operations staff on AI solutioning, prompt design, and best practices.Drive AI adoption across the Operations Practice through enablement sessions, bootcamps, and strategic initiatives.
Execute rapid response AI projects with a focus on delivery and measurable business impact.Act as a subject matter expert and internal champion for AI capabilities.
OpenAI ChatGPT, Anthropic, Microsoft, and Meta LLaMA
Agentic AI
Python, Java, PyCharm, Flask
Docker
GitHub
API integration & App Engine
Ansible
Terraform


Job Description:


Lead end-to-end solutioning of AI agents and agentic workflows, including design, development, testing, and deployment. 
Build business cases, conduct process reviews, perform data analysis, and document business requirements. 
Apply prompt and context engineering techniques to optimize AI model performance. 
Work with cutting edge Generative AI models such as OpenAI (ChatGPT), Anthropic, Microsoft, and Meta (LLaMA). 
Develop and deploy AI solutions using Python, Java, and frameworks like Flask, integrating with APIs and App Engine. 
Implement and manage CI/CD pipelines for efficient and secure deployment. 
Ensure secure handling of API keys, passwords, and tokens across environments. 
Use Docker for containerization and GitHub for version control and collaborative development. 
Conduct testing of AI agents and workflows to ensure reliability, accuracy, and performance.Collaborate with cross-functional teams to identify business problems and apply AI-driven solutions. 
Mentor Operations staff on AI solutioning, prompt design, and best practices.Drive AI adoption across the Operations Practice through enablement sessions, bootcamps, and strategic initiatives. 
Execute rapid response AI projects with a focus on delivery and measurable business impact.Act as a subject matter expert and internal champion for AI capabilities. 
OpenAI ChatGPT, Anthropic, Microsoft, and Meta LLaMA
Agentic AI 
Python, Java, PyCharm, Flask
Docker
GitHub
API integration & App Engine
Ansible
Terraform


 

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