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This role is for an innovative Full Stack Engineer to help the build out of solutions that comprise of agentic flows & application integration, 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 engineering & delivery of end-to-end solutions
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
Requirements:
Strong engineering experience with high-performance, large-scale distributed systems
Fluency in Java, Python or both
UI development skills with technologies such as React JS or StreamLit
Experience with frameworks such as Spring (Boot, Core, JDBC, AI etc.) or Flask
Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
Experience designing and implementing REST or WebSocket APIs
Experience with messaging and integration platforms like Kafka or JMS/MQ
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
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
a Master's degree is preferred
Nice to have:
Proficiency in Javascript/Typescript or Golang is also highly valued
Understanding of Gen AI Engineering - LangChain, LangGraph, and MLFlow, LLMs, transformers, agentic frameworks, vector stores, and search algorithms
Experience using AI coding assistants such as CoPilot or Devin