AI Engineer (Gen AI, Python, C#, JavaScript, Angular)

: Grade Level (for internal use): 10The Team: The team's mission is to design and integrate an intelligent AI Assistant, employing Generative AI technology, into our existing web application ecosystem. As a Senior Engineer, you will be a key technical contributor working alongside a diverse team of highly skilled engineers and data scientists who are passionate about utilizing cutting-edge technology to achieve transformative business outcomes. The Impact: With the advent of Generative AI, we are witnessing a paradigm shift in software development and business intelligence. This senior engineering role positions you at the forefront of our AI transformation initiative, where your technical contributions will directly shape the implementation of innovative solutions that deliver competitive advantage and transformative value to our customers across global markets. What's in it for you: • Technical Excellence: Work with cutting-edge AI technologies and contribute to the architecture of next-generation AI applications • Innovation Opportunity: Lead technical initiatives and proof-of-concepts that push the boundaries of AI integration • Professional Growth: Gain deep expertise in AI/ML technologies while working on enterprise-scale challenges • Technical Leadership: Mentor junior engineers and influence technical decisions across multiple projects • Industry Impact: Build solutions that transform how businesses leverage AI for intelligence and decision-making

: Technical Development • Design and implement scalable AI components and services integrated with existing web applications • Develop robust APIs and microservices for AI model deployment and orchestration • Build and optimize data pipelines for AI model training and inference • Implement best practices for code quality, testing, and documentation across AI projects AI Implementation • Integrate Large Language Models and other AI services into production applications • Develop prompt engineering strategies and optimize AI model performance • Implement RAG (Retrieval-Augmented Generation) systems and vector databases • Build monitoring and evaluation frameworks for AI system performance Technical Leadership • Conduct code reviews and provide technical guidance to team members • Drive technical design discussions and architectural decisions • Research and evaluate emerging AI technologies for potential adoption Collaboration & Delivery • Partner with Product Management and Data Science teams to translate