Python Developer with GenAI

PROJECT INFORMATION:

Industry: Consulting

Remote work: 100%

Project language: English

Contract length: 12 months contracts + prolongations.

Start: ASAP

Assignment type: B2B

We are seeking a qualified candidate for the position of Python Developer with GenAI. Our team is responsible for various IT projects for clients and international key accounts, delivering a wide range of solutions including web and mobile applications, data analytics platforms, e-commerce systems, and complex data analysis. We assist in defining business requirements, support the construction and development of various applications, and also have a dedicated division for implementing and maintaining systems based on the OutSystems platform and Digital Factory.

Your Role: As a Python Developer with GenAI, you will focus on designing and implementing innovative applications while actively contributing to the deployment and architectural processes.

Main Responsibilities:

• Design and implement innovative applications.

• Actively participate in the deployment process and solution architecture.

• Engage in the implementation of new technologies and tools.

• Collaborate with end-users to resolve issues during software deployments.

Key Requirements:

• Bachelor's degree in Computer Science or related fields.

• Minimum 3-4 years of experience in a similar position.

• Proficient programming skills in Python and/or data utilization.

• Experience in developing solutions based on GenAI.

• Experience in building and developing applications utilizing LLM technologies (OpenAI, GPT).

• Familiarity with RESTful APIs.

• Proficient in English to independently use technical documentation and communicate with team members.

Nice to Have:

• Skill in creating, testing, and maintaining backend components in .NET.

• Knowledge of Java or Node.js.

• Experience in web application programming (preferably with frameworks such as React, Angular, Vue.js).

• Familiarity with deployment methods and tools such as poetry or pipenv.

• Proficiency in frameworks and libraries used for large data set processing and data science (e.g. Pandas, NumPy, SciPy, Spark).

• Ability to apply various techniques (tokenization, embeddings, chunking, querying) to enhance the performance and accuracy of responses generated by LLM.

• Familiarity with version control systems, design patterns, and their practical application.

We offer:

• Long-term cooperation.

• Transparently built relations based on trust and fair play.

• Multisport and Medicover available for self-purchase albo Optional Multisport and Medicover packages (self-paid).