Member of Technical Staff
vor 8 Stunden
What you will do
- Build a highly scalable data-driven SaaS platform that can easily connect to other IT systems.
- Build our virtual assistant platform and applications leveraging cutting-edge LLMs. You'll build a product using voice and text communication with human-like capabilities.
- OR build our AI-first CRM solution with workflow automation.
- Build our "AI Studio" for automated and manual grooming and labeling of various training data sets.
- Define the product: Collaborate with the product managers to clearly understand and refine product requirements, aligning them seamlessly with our business goals.
- Define the software architecture and code the product.
- Apply ML as a major differentiator for the product (you do not need to be an ML engineer yourself).
- Integrate with various tools for CI/CD, test automation, monitoring, logging, and documentation.
What we look for
- BSc. or MSc. in Computer Science or comparable degree.
- At least 5 years of hands-on coding experience as a full-stack engineer.
- Exceptional problem-solving abilities, effective communication, and teamwork skills.
- You should be a great engineer in 2 of the next 4 skill sets:
- Backend Development
- Experience with event-driven architectures and mechanisms.
- Comfortable defining and building robust APIs with a strong understanding of different protocols like Websockets, REST, RPC frameworks, etc.
- Experience with database schema design and an understanding of query performance.
- Deep appreciation for building applications with observability as a first-class principle and familiarity with application performance monitoring.
- Experience with backend services on AWS.
- Extensive experience coding in Go or motivation to learn it.
- Experience in Python is a plus.
- Frontend Development
- Knowledge of modern front-end ecosystems and experience applying frameworks/tools , Webpack, and ) and patterns to complex web applications.
- Extensive experience coding in TypeScript.
- Infra & CI/CD
- Experience with setup of CI/CD processes and tools like Terraform, Docker, etc.
- Setup of large-scale applications using Kubernetes on AWS
- Security management.
- Applied ML
- Experience with LLMs and prompt engineering or maybe experience in fine-tuning LLMs.
We encourage you to apply, even if you don't meet all the criteria.
Our commitment to diversity and inclusion means we value individuals of all genders, ethnicities, sexual orientations, religions, and abilities.
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