Senior Gen-AI Engineer

This is a fully remote position, open to applicants in Hungary.

📋 Description

• Design, develop, and maintain scalable APIs and backend services using Python, specifically with FastAPI and related frameworks.

• Construct, deploy, and enhance production-level LLM applications utilizing providers like OpenAI and Anthropic.

• Create and implement comprehensive RAG solutions, incorporating vector databases, semantic search, retrieval optimization, and chunking techniques.

• Develop and oversee secure, scalable MCP servers and AI infrastructure.

• Build and orchestrate systems with multiple agents to automate intricate workflows and business operations.

• Generate, test, and refine prompts, agent instructions, and LLM interactions to enhance solution quality and performance.

• Utilize AI-assisted development tools (such as Claude Code, Cursor, GitHub Copilot) to expedite software delivery and improve engineering efficiency.

• Implement event-driven architectures, messaging frameworks, and real-time communication patterns.

• Monitor, troubleshoot, and optimize AI and backend systems to ensure performance, reliability, scalability, and security.

• Collaborate with cross-functional teams to deliver cutting-edge AI solutions and establish engineering best practices.

⛳️ Requirements

• A minimum of 8 years of experience in API development using Python.

• At least 2 years of experience in developing and experimenting with LLMs.

• Daily hands-on experience with AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) for code writing, refactoring, workflow automation, and engineering process optimization.

• Strong proficiency in Python, especially in constructing REST APIs with frameworks like FastAPI.

• A solid foundation in NLP and machine learning principles as they pertain to LLM system development.

• Significant experience working with key LLM model APIs (e.g., OpenAI, Anthropic).

• Proven experience in building, deploying, and securing MCP servers at scale.

• Familiarity with multi-agent systems and their roles in complex problem-solving scenarios.

• Expertise in designing and implementing RAG systems from start to finish, including vector databases, semantic search, retrieval quality, and chunking strategies.

• Experience in crafting prompts for a variety of use cases.

• Background in deploying generative solutions to production on a large scale, beyond proof of concepts.

• Proficiency in managing server-side events, event-driven architectures, and messaging systems.

• Strong critical thinking and systems thinking abilities, with experience in debugging, optimizing, and making informed engineering decisions across complex backend systems, rather than just addressing isolated issues.

• A comprehensive understanding of security best practices for backend systems, encompassing authentication and data protection.

🏝️ Benefits

• Flexible work arrangements.

• Opportunities for professional development.