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This role is for an innovative Generative AI Engineer to drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. The successful candidate will contribute to the technical direction of products and services, instil engineering best practices, and promote cultural change within the organization. This position involves close collaboration with various technology teams to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes, and to develop partnerships with third-party providers for validating and adopting best-of-breed solutions.
Job Responsibility:
Contribute significantly to both engineering and research initiatives within the Generative AI domain
Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions
Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems
Actively engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy
Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution
Develop foundational components and mature technology capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs)
Drive the enterprise-wide adoption and successful integration of Generative AI solutions
Demonstrate strong problem-solving capabilities and a proactive learning mindset, continuously acquiring new skills
Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders
Be adaptable and resourceful in navigating complex technical and organizational challenges
Appropriately assess risk when business decisions are made, demonstrating sound ethical judgment and particular consideration for the firm's reputation, its clients and assets
Requirements:
Deep hands-on experience in engineering and executing enterprise solutions that scale effectively
Fluency in at least two programming languages, with a strong preference for Python and Java. Proficiency in Javascript / Typescript and Golang is also highly valued
Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms
Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), N8N, Flask, LangChain, LangGraph, and MLFlow
Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
Experience with messaging and integration platforms like Kafka or JMS/MQ
UI development skills with technologies such as React JS or StreamLit
Experience designing and implementing REST and WebSocket APIs
Familiarity with one of the major cloud platforms including AWS, GCP, or Azure
Strong knowledge of infrastructure tools, including Docker, Kubernetes, Terraform, and Helm
Experience with build and deployment (CI/CD) tools such as Jenkins and Gradle
Good engineering experience with high-performance, large-scale AI/ML systems
Experience in model risk management, guardrails development, and developing end-user adoption pathways for AI/GenAI solutions
A minimum of 10+ years of professional experience in financial services, technology firms, or dynamic start-up environments
Strong hands-on experience with Agile delivery, product management, and value stream methodologies
Proven track record in producing high-quality project artifacts
Demonstrated ability to drive the design, development & implementation of scalable systems
Motivated self-starter with the ability to quickly learn new skills and effectively navigate complex organizational structures
Bachelor's degree in Computer Science, Information Technology or Engineering is required
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