Software Engineer I

Hands-on engineer in technical design and development of AI applications using existing and/or emerging technology.
Work closely with product managers, data scientists and other stakeholders to translate business requirements into scalable and efficient AI solutions. Collaborate with cross-functional teams to execute the AI technology roadmap, aligning with business objectives and industry trends. Stay abreast of the latest advancements in AI technologies, guiding the team in adopting best practices and cutting-edge methodologies. Responsible for development of AI specific software/platform components. Investigate and resolve production management incidents, problems, and service requests. Implementation of AI technology best practices, architecture and technology stack including adoption of cloud, Data, and other relevant emerging technology that is fit-for-purpose. Ways of Working Adoption of the Agile ways of working in the software delivery lifecycle and continuous learning of new methods and technology At least 5 years experience in implementing AI solutions. Expertise in machine learning, deep learning, natural language processing, and other AI-related technologies. Experienced in using LLM s to build innovative solutions for the enterprise. Proficiency in programming languages such as Python and proficiency with AI frameworks (e.g., TensorFlow, PyTorch) Strong grounding on data engineering and design to support AI workloads. Hands on experience on Azure AI offerings will be an added advantage. Strong analytical and problem-solving skills with a focus on delivering practical, scalable solutions. 3+ years in development using multiple technology stack capabilities (Front/Back End, API, Database Mgmt., Hosting technologies etc. to drive digital transformation in financial services or technology domain Hands-on experience in developing and implementing applications using modern technology stack and patterns including cloud native patterns, public cloud (e.g. Microsoft Azure), AI/Big Data, API and web apps Proficiency in software development lifecycle including CI/CD, test driven development, domain driven design and Agile ways of working (including shift-left)