We’re looking for two Lead AI Fullstack Engineers to help drive improvements in GenAI products for stakeholders across the organisation. You’ll be a part of the AI and Analytics Centre of Excellence within Digital, Data & IT, where the focus is on creating high value, innovative data products. You will be anchored in a product team for the development of a new AI Marketplace product.
The position
We are looking for a Fullstack engineer who is excited about building quality Generative AI solutions and energized about making a large impact for users and patients of our client. The applications bring cutting-edge AI innovation to thousands of scientists, data scientists, ML engineers, and users in the line of business. The apply healthy engineering principles, and ambition is to deliver the best AI solutions. The role is skewed toward backend but will also involve frontend work at times.
Used stack:
Python, TypeScript, React, FastAPI, OpenAI, Langchain, sometimes Streamlit, GitHub Actions for CI/CD pipeline to both Azure and AWS, Terraform, PostgreSQL, Elasticsearch, Grafana
responsibilities :
Build and develop testable business logic for the applications and POCs.
Languages used: Python, Typescript and JS (React).
Unit and integration tests using pytest, Jest & Vitest.
Build integrations to other systems and databases.
Ability to understand complex business domains and design features that solve complex problems in a simple and coherent way.
Assisting users with issues, troubleshoot complex interface related errors.
Work closely with stakeholders and line of business to understand user requirements and system functionality.
Update technical documents, attend team meetings, and actively participate in ideation of innovative solutions.
requirements-expected :
Education and Experience:
Master’s degree in relevant subject with 7+ years of experience.
Proficiency in Python development.
Proficiency in Typescript development.
Experience in React developmet.
Comfortable querying SQL databases.
Experience of taking an application from idea to production.
Software Engineering Skills:
Professional collaborative software engineering experience with Git, peer reviews.
Ability to write clean, maintainable, and scalable code.
Familiarity with CI/CD pipelines, preferably GitHub Actions.
Experience with containerizing software using Docker.
Understanding of software development principles and methodologies.
Takes responsibility for all aspects of an applications lifecycle.
Cloud Platforms:
Proficiency in cloud platforms Azure and/or AWS.
Soft Skills:
Highly self-motivated with excellent time management skills.
Passion for writing good, testable, and well-documented code.
