Senior Python Engineer with Generative AI Experience

N-iX is an international company with Ukrainian roots that helps businesses across the globe develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in nine countries spanning Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.

Technology Office designs and executes industry-relevant inventions that allow organizations to realize exceptional business value from technology. We are looking for an energetic and passionate Senior Python Engineer who can bring their experience and knowledge to our Technology Office team.

This position is right for you if you are a quick learner willing to master your skills in Generative AI and whose priority is quality.

Requirements:

• 5+ years experience in software engineering using Python with the ability to write easily readable and reusable code
• Experience in object-oriented design, software architecture best practices, and patterns
• Experience with Web Frameworks (Django, Flask, FastAPI or similar)
• Hands-on with AWS and/or Azure Cloud 
• AWS Lambda, API Gateway, Amazon Bedrock, Amazon Elastic Container Registry (ECR) & Amazon Elastic Container Service (ECS)
• Azure Function App, Azure Containers, Azure OpenAI Service
• Docker, Docker Compose, GitHub Actions, Azure Pipelines
• Understanding of the patterns and practical experience with databases, vector stores, and foundational models
• Hands-on RAG-based application development (understanding of RAG Agents will be a plus)
• Independent and self-motivated with a can-do attitude
• Excellent verbal and written skills in English

Responsibilities:

• Participate in pre-sales activities that include but are not limited to the preparation of proposals, technical assessments, and implementation of proofs of concept
• Understand customer challenges, and business needs, analyze and estimate requirements, as well as identify the risks involved and provide solutions to them
• Get things done and find a creative compromise between an ideal technical solution and actual client needs in a dynamic environment with a high level of uncerta