Senior Gen-AI Engineer

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

📋 Description

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

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

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

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

• Build and orchestrate multi-agent systems 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 (e.g., 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 for performance, reliability, scalability, and security.

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

⛳️ Requirements

• Over 8 years of experience in developing APIs with Python.

• More than 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).

• Extensive experience with Python, especially in constructing REST APIs using frameworks such as FastAPI.

• Strong grounding in NLP and machine learning as they pertain to LLM system development.

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

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

• Knowledge of multi-agent systems and their uses in complex problem-solving scenarios.

• Capability in designing and implementing end-to-end RAG systems: vector databases, semantic search, retrieval quality, and chunking strategies.

• Proficient in prompt writing for diverse use cases.

• Experience with generative solutions that have been released to production at scale, beyond proof-of-concepts.

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

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

• Solid understanding of security best practices for backend systems, including authentication and data protection.

🏝️ Benefits

• Employees have the option to work remotely.