Artificial Intelligence Full Stack Engineer

As an AI Full Stack Engineer at Deutsche Bank, your role will involve managing and performing work across various areas of the bank's IT platform, including analysis, development, and administration. You will join a team of enthusiastic individuals dedicated to innovating and building solutions that meet comprehensive requirements. Here are the key responsibilities you will undertake: - Design, develop, and implement AI-powered applications and services using Python, FastAPI/Flask, and Google VertexAI. - Collaborate with product managers, architects, and DevOps to ensure the delivery of high-quality solutions. - Develop and maintain semantic search capabilities for enterprise documents using retrieval-augmented approaches. - Drive code reviews, coding standards, and mentor junior team members. - Collaborate closely with team members, QA, and product partners to deliver agreed features. - Support CI/CD pipelines and follow DevOps best practices. - Ensure solutions comply with security, risk, and compliance requirements. - Document code, technical designs, and operational procedures as necessary. Your skills and experience should include: - 5+ years of experience in an AI Engineer role, applying AI techniques to solve real-world problems. - Proficiency in Python with libraries like scikit-learn, pandas, and NumPy, as well as experience with FastAPI or Flask. - Hands-on experience with the Google VertexAI platform and large language models (LLMs) like the Gemini Model. - Strong front-end technologies knowledge, including React JS. - Familiarity with Linux, containers, cloud solutions, and performance tuning. - Experience with unit testing frameworks, automated testing tools, and containerized deployments. - Understanding of authentication, authorization concepts, and cloud hosting resources. - Proficiency in CI/CD tools, Unix/Linux commands, Swagger, and JSON. Desirable qualities include strong communication, interpersonal, and organizational skills, along with problem-solving abilities and a keen attention to detail. A Bachelor's degree in computer science/engineering or relevant technology & science is required, along with technology certifications from leading cloud providers. Deutsche Bank offers training, development, coaching, and a culture of continuous learning to support your career progression. They promote a positive, fair, and inclusive work environment. To learn more about the company, visit their website at https://www.db.com/company/company.html. Join Deutsche Bank Group in striving for excellence together every day. As an AI Full Stack Engineer at Deutsche Bank, your role will involve managing and performing work across various areas of the bank's IT platform, including analysis, development, and administration. You will join a team of enthusiastic individuals dedicated to innovating and building solutions that meet comprehensive requirements. Here are the key responsibilities you will undertake: - Design, develop, and implement AI-powered applications and services using Python, FastAPI/Flask, and Google VertexAI. - Collaborate with product managers, architects, and DevOps to ensure the delivery of high-quality solutions. - Develop and maintain semantic search capabilities for enterprise documents using retrieval-augmented approaches. - Drive code reviews, coding standards, and mentor junior team members. - Collaborate closely with team members, QA, and product partners to deliver agreed features. - Support CI/CD pipelines and follow DevOps best practices. - Ensure solutions comply with security, risk, and compliance requirements. - Document code, technical designs, and operational procedures as necessary. Your skills and experience should include: - 5+ years of experience in an AI Engineer role, applying AI techniques to solve real-world problems. - Proficiency in Python with libraries like scikit-learn, pandas, and NumPy, as well as experience with FastAPI or Flask. - Hands-on experience with the Google VertexAI platform and large language models (LLMs) like the Gemini Model. - Strong front-end technologies knowledge, including React JS. - Familiarity with Linux, containers, cloud solutions, and performance tuning. - Experience with unit testing frameworks, automated testing tools, and containerized deployments. - Understanding of authentication, authorization concepts, and cloud hosting resources. - Proficiency in CI/CD tools, Unix/Linux commands, Swagger, and JSON. Desirable qualities include strong communication, interpersonal, and organizational skills, along with problem-solving abilities and a keen attention to detail. A Bachelor's degree in computer science/engineering or relevant technology & science is required, along with technology certifications from leading cloud providers. Deutsche Bank offers training, development, coaching, and a culture of continuous learning to support your career progression. They promote a positive, fair