Job
Description
As an innovative Generative AI Engineer, your role will involve driving the adoption of Large Language Models (LLMs) and agentic flows to enhance process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. You will contribute significantly to both engineering and research initiatives within the Generative AI domain. Your responsibilities will include: - Contributing to the technical direction of products and services - Instilling engineering best practices and promoting cultural change within the organization - Collaborating closely with various technology teams to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes - Developing partnerships with third-party providers for validating and adopting best-of-breed solutions In this role, you will adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions. You will thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems. Additionally, you will actively engage in pair programming, promote lean methodologies, and prioritize rapid delivery and iterative development. Your technical expertise should include: - 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 - 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.), 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 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 You should have 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 is required. A Bachelor's degree in Computer Science, Information Technology, or Engineering is required, while a Master's degree is preferred. This job description provides a high-level overview of the role, and additional job-related duties may be assigned as required. As an innovative Generative AI Engineer, your role will involve driving the adoption of Large Language Models (LLMs) and agentic flows to enhance process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. You will contribute significantly to both engineering and research initiatives within the Generative AI domain. Your responsibilities will include: - Contributing to the technical direction of products and services - Instilling engineering best practices and promoting cultural change within the organization - Collaborating closely with various technology teams to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes - Developing partnerships with third-party providers for validating and adopting best-of-breed solutions In this role, you will adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions. You will thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems. Additionally, you will actively engage in pair programming, promote lean methodologies, and prioritize rapid delivery and iterative development. Your technical expertise should include: - 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 - 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.), 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 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 You
