Software Developer Specialist - Generative AI

Role & responsibilities

• Strong proficiency in Python, with a good understanding of its ecosystem and best practices.
• Proficiency with AWS and cloud technologies. • Experience of infrastructure-as-code tools like Terraform • Knowledge with Visual Studio Code and other modern development environments • Solid understanding of data structures, algorithms, and software design patterns. • Familiarity with Linux/Unix and Windows operating systems. • Experience with software development methodologies (Agile, Waterfall, Lean). • Understanding of Generative AI concepts, including Large Language Models (LLMs) and their applications. • Proficiency with version control systems, particularly Git. • Good communication skills, able to explain technical concepts to team members and stakeholders. • Knowledge of relational and non-relational databases, SQL, and handling unstructured data. •

Preferred candidate profile

• Education: Bachelor's degree in Computer Science, Information Systems, Mathematics, or equivalent work experience.
  • Experience Required: Approximately 6 years of software development experience. Your role and responsibilities: • Develop and implement components of Generative AI applications, ensuring code quality, performance, and reliability. • Participate in code reviews and contribute to the team's adoption of best practices in software development. • Collaborate with team members to implement technical requirements and contribute to technical solutions. • Assist in the collection, preprocessing, and curation of datasets for training generative AI models. • Contribute to gathering user feedback and participate in design iterations to enhance usability and satisfaction. • Maintain high code standards through peer code reviews and continuous learning. • Work on solving complex problems faced by the team, under the guidance of senior team members. • Collaborate effectively within geographically dispersed teams. • Participate in technical discussions with team members and contribute to documentation efforts.