Senior AI Engineer (Backend-Focused)
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About the role
Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂 Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success. We are looking for a Senior AI Engineer to join one of our high-growth client teams to lead the development of next-generation autonomous systems. This is a backend-heavy fullstack role where you will be responsible for more than just simple prompt engineering. You will be architecting Agentic Workflows -systems that can reason, use tools, and execute complex coding tasks autonomously. The ideal candidate is a language-agnostic engineer who is obsessed with the Claude ecosystem and has hands-on experience building systems where AI agents interact with real-world data and codebases. You will bridge the gap between advanced LLM capabilities and robust, scalable backend production environments.
Responsibilities
- Design and deploy autonomous agents that can handle end-to-end tasks, specifically focusing on Claude-based coding agents.
- Build the scalable "brains" of the application, ensuring that AI reasoning is integrated into the core business logic.
- Refine system prompts and multi-shot examples to maximize Claude's reasoning performance.
- Implement guardrails and validation layers to ensure that agentic outputs are safe, predictable, and high-quality.
- Work with Product and UX teams to define how "AI Agents" should feel and behave within the product interface.
Requirements
- Deep expertise in Agentic Development. You should be comfortable building multi-agent systems, ReAct loops, and self-correcting workflows.
- Mastery of the Claude 3/3.5 family. You understand how to leverage Claude's high reasoning capabilities and long context windows for complex logic.
- Experience building "AI-coding" features-using LLMs to generate, refactor, and test code programmatically within an application.
- Strong proficiency in at least one major backend language (Python, C#, or JavaScript/Node.js) and the ability to design the infrastructure (APIs, Webhooks, Databases) that supports AI agents.
- While backend-heavy, you are comfortable building the necessary frontend components (React/Vue) to allow users to interact with AI agents seamlessly.
- Extensive experience giving LLMs "tools"-designing clean API interfaces that agents can call to perform actions in the physical or digital world.
- Intermediate-advanced English level.
- Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.
- Experience with LangChain, LangGraph, or CrewAI.
- Knowledge of Vector Databases (Pinecone, Weaviate) and advanced RAG patterns.
- Familiarity with LLM Observability tools (LangSmith, Helicone) to debug agentic reasoning chains.
- Background in Software Engineering Fundamentals: You treat AI code like production code (CI/CD, Unit Testing, Version Control).
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