Senior Python Backend Engineer (LLM / Generative AI)

Senior Python Backend Engineer (LLM / Generative AI)

Location: EU & Other European Countries
Employment Type: B2B / Contract

About Elinext
Elinext is an international software development company with 25+ years of experience delivering custom software solutions and dedicated engineering teams for clients worldwide. We work across Gaming, Fintech, Healthcare, Enterprise Software, AI/ML, Cloud, and other technology-driven domains.

About the Role
We are looking for an experienced Senior Python Backend Engineer to join our team and contribute to the development of scalable, production-grade backend solutions powered by modern Python and Generative AI technologies.
In this role, you will design, develop, and maintain robust backend services, with a strong focus on asynchronous programming, clean architecture, and high-quality software engineering practices.
You will also work on integrating Large Language Models (LLMs) into production systems, building intelligent backend capabilities such as agent orchestration, tool integrations, and automated response evaluation.
This is a hands-on engineering position that combines strong Python backend expertise with practical experience delivering reliable, scalable, and maintainable AI-powered applications.

Responsibilities
— Design, develop, and maintain scalable backend services using modern Python, asynchronous programming, and clean architectural principles.
— Build and maintain RESTful APIs, data schemas, and integrations with external services, knowledge sources, and AI components.
— Develop and enhance LLM-powered backend functionality, including agent orchestration, tool calling, and integration with external tools.
— Implement and improve LLM response evaluation mechanisms to ensure quality, reliability, and consistency.
— Apply software engineering best practices to build secure, maintainable, and production-ready backend solutions.
— Write clean, well-structured, typed, and testable Python code.
— Ensure software quality through automated testing, code reviews, and CI/CD workflows.
— Collaborate with backend engineers, AI specialists, and product teams to design and deliver new features.
— Continuously improve the performance, reliability, and maintainability of production services.

Requirements
— Strong professional experience in Python backend development, including building and maintaining production-grade web services.
— Advanced hands-on experience with Python 3.x, asynchronous programming, type hints, and backend API development.
— Proven experience delivering LLM / Generative AI functionality in production, beyond prototypes or proof-of-concepts.
— Practical experience with LangChain, LangGraph, or similar LLM orchestration frameworks.
— Experience with prompt engineering, tool integrations, and agent-based workflows.
— Strong understanding of LLM evaluation and quality assurance, including evaluation datasets, testing methodologies, observability, and production feedback mechanisms.
— Solid experience with modern Python API frameworks, particularly FastAPI.
— Strong knowledge of Pydantic for data validation and schema management.
— Good understanding of clean architecture, structured software design, and maintainable backend systems.
— Experience with automated testing, code reviews, Git-based development workflows, and CI/CD pipelines.
— Strong analytical thinking, problem-solving skills, and attention to code quality.
— Professional working proficiency in English.
— Ability to collaborate effectively with cross-functional engineering and product teams.

What We Offer
— Friendly and collaborative international team.
— 25 calendar days of paid vacation and 5 paid sick days.
— Medical insurance.
— Corporate English language courses.
— Corporate events and team-building activities.
— Professional development and certification support.
— Reimbursement for professional courses and training.
— Long-term international projects.
— Opportunities for career growth and professional development.