We are seeking an AI Tech Lead to work closely with the AI and Data Science teams to develop and maintain innovative projects. In this role, you will lead a team, collaborate across multiple functions, and engage with stakeholders to translate business requirements into technical solutions. This is a fully remote position.
Key Responsibilities:
- Leading the development of innovative features and architectural solutions in Insurtech industry.
- Manage and optimize the entire software development lifecycle, including deployment processes, configuration management, and production support.
- Architecting and guiding the development of robust solutions leveraging full stack technologies including Cloud Provider and CI/CI pipelines, ensuring seamless integration across platforms.
- Collaborating to create and maintain automated testing processes to ensure thorough and efficient testing of software functionalities.
- Collaborate with product managers and stakeholders to translate business requirements into technical specifications and actionable development plans.
- Manage technical documentation, including system designs, API specifications, and development processes.
Required Skills & Experience:
- A minimum of 6-7 years of software development experience with proven results in delivering projects end-to-end and successfully going live.
- A minimum of 1 year of experience leading a team and mentoring team members.
- Experienced in designing and implementing frontend and backend APIs of moderate complexity.
- Strong advocate of automated testing e.g. unit testing, integration testing.
- Proficient in using cloud technologies such as AWS, GCP, Azure, etc..
- Proficient in the use of technology stacks: NextJS, Node.js, React, Typescript, Python,Microservices, MongoDB, DynamoDB.
- Experience with Go-lang is a plus.
- Proficient in infrastructure as code (IaC) tooling such asTerraform.
- Experience in delivering GenAI projects and applications. Familiar with GenAI concepts such as context, prompt engineering, tokens, completions, vector databases, RAG applications, etc.
