Lead Product Engineer, Conversational Ai

5 days ago

Singapore NCS Full time

**Ins8.ai** is an AI-powered Automated Hyperlocal Speech Recognition service delivered as an API. Ins8.ai platform is supported by our own speech engine that has the market leading accuracy in hyperlocal usage in Asia.

We are currently seeking an experienced Tech Team Lead to develop, design and maintain our AI conversational AI services for enterprise use in both cloud and on-premise implementations. The individual will work closely with Ins8.ai’s Chief Product Officer and Chief Scientist to align technical directions with business strategies to quickly expand the breadth and depth of the product suite.
- We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated_

**The scope of work should cover**:

- Drive the technical direction of the Engineering team
- Design, build, and maintain APIs, user-facing experiences, services, and systems
- Manage a team of Engineers to deliver across the entire app life cycle -concept, design, build, deploy, test and support
- As an API Tech Lead you will be leading the end to end Development and Delivery of Microservices and host them in private/public cloud/on-prem
- Mentoring and guiding junior members of the team to improve the overall expertise and skills of the team
- Play a critical role in setting your team’s technical direction
- Hands-on and able to code together with your team
- Promote team cohesiveness, a positive culture and good team spirit
- Masters / Degree / Diploma in Computer Science / Information Technology, or equivalent discipline
- A hands-on experienced developer and architect who can also lead and guide an engineering team.
- Naturally curious and continually striving to have impact.
- Familiarity with the CI/CD best practices.
- Have at least 3 years of engineering management experience and 8 years of overall software development experience
- Experience in building API platforms, for both on-prem and cloud deployments
- Good experience with OOAD and design patterns.
- Proficient with Kubernetes concepts such as Pods, Services, Deployments, Statefulsets, Volume claims, Helm Charts, etc.
- Proficient with container based deployments using Docker, working with Docker images, Docker registries and Kubernetes.
- Familiarity with networking and network protocols such as TCP/IP, HTTP.

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