Software development on backend (Python,TypeScript) and frontend (TypeScript/JavaScript - React framework).
Write efficient and maintainable code following best practices in software engineering.
Working with DevSecOps tools for deploying and versioning code.
Deploy solutions on the cloud with CI/CD integration.
Deliver enterprise AI projects, products, and platforms with a focus on scalability and reusability.
Work on technical pilots and feasibility studies of new opportunities to create value and transitioning successful pilots to scalable production implementations.
Develop integrations with other applications and services.
Develop automated testing pipelines.
Application release and second level support.
Stay up to date with the latest advancements in software engineering technologies.
Participate in Agile ceremonies with the team to execute on prioritized projects and features.
Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions.
Requirements:
4+ years hands-on coding and software design experience building robust and scalable software using Python, SQL, REST, TypeScript/JavaScript - React framework.
Experience in building data intensive applications in a modern technology stack: Cloud services (AWS), data pipelines, SQL/No-SQL databases (graph databases is a plus)
Experience in designing, architecting, and maintaining applications.
Experience building and consuming web-based APIs.
Experience with CI/CD environments and test-driven development leveraging a Version Control system.
Excellent collaboration and communication skills for working with cross-functional teams.
Experienced with developing automated testing strategies.
Understanding of System Integration patterns.
Preferred:
Experience working with AWS Cloud
Experience working in an Agile Methodology
Familiar in fields related to artificial intelligence, machine learning, and data science.
Knowledge of Generative AI solutions and applications
Experience with building, deploying, and managing docker images.
Education:
Candidates are evaluated case-by-case but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, and Bioinformatics.
