AI Engineer at Tooploox Sp. z o.o.

Łódź, Łódź Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, Node.js, LangGraph, LlamaIndex, Retrieval-Augmented Generation, Hybrid Search, Re-Ranking, Graph-Based Retrieval, LangSmith, LangFuse, Arize Phoenix, API, Cloud Platforms, Docker, K8s

Industry

IT Services and IT Consulting

Description

Hi there! 👋🏻 We’re Tooploox 💎, a Solvd Inc. company. We create AI-powered products and services that make a real difference. Our team of nearly 200 specialists - including a 40+ person R&D team with many PhDs - has pioneered AI solutions across industries from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale. Now, as part of Solvd Inc., we’re building on our strengths with even greater global reach and resources — while keeping the creative, human-scale culture that defines us here in Poland. If you want to work on meaningful AI projects, with space to grow and the freedom to innovate, you’ll feel right at home. We are seeking a dynamic and motivated AI Engineer with a strong focus on developing Production-Grade AI Agents. If you have a deep understanding of modern AI stacks and thrive on moving beyond simple demos to build reliable, evaluation-driven solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements. What you will do: Collaborate with cross-functional teams to design and build stateful, multi-agent workflows using modern orchestration patterns. Engage with clients to define requirements and oversee the full software development lifecycle, from proof of concept through evaluation and implementation to production. Implement rigorous evaluation pipelines (e.g., LLM-as-a-Judge) to quantitatively measure agent performance and reliability before deployment. Proactively drive productivity and adapt to evolving demands, taking initiative consistently. Manage backend tasks while contributing to frontend development to ship functional end-to-end prototypes. Stay informed about rapid advancements in the field (such as reasoning models, SLMs, or new prompting paradigms), continuously learning and integrating new knowledge. Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions. Experience and skills you need to join us: Solid full-stack expertise in Python, with a focus on writing clean, modular code, complemented by experience with TypeScript or Node.js. Deep practical experience with modern orchestration and state-management frameworks like LangGraph or LlamaIndex Workflows. Strong understanding of Retrieval-Augmented Generation (RAG) including advanced techniques like hybrid search, re-ranking, and graph-based retrieval. Experience implementing tracing and monitoring for complex agent flows using tools like LangSmith, LangFuse, or Arize Phoenix. Proven ability to design Evals and test pipelines to prevent regression and hallucinations in production apps. Experience with API/SDKs of major model providers (OpenAI, Anthropic, Gemini) as well as Open Source models. Experience configuring services on cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker/K8s). Proficient in automating CI/CD processes and understanding DevOps practices. Openness to client collaboration, fostering clear communication and effective partnership. Fluency in English (you will attend meetings with English speaking clients). It would be great if you also have: Experience running and serving local LLMs (e.g., via Ollama, vLLM, or TGI). Familiarity with programmatic prompting optimization tools like DSPy. Hands-on experience with the Model Context Protocol (MCP). Proficiency in Vector Stores (Pinecone, Qdrant, Weaviate, or pgvector). Familiarity with Voice Agents concepts and frameworks like Pipecat. Experience with graph databases (e.g., Neo4j) or GraphRAG approaches. Fundamental knowledge of machine learning principles or model fine-tuning. How we work: At Tooploox 💎, you have the flexibility to choose your working hours ⏰ and location 📍. While we value remote work, we also believe in building relationships 🤝and invite you to join us in our Warsaw and Wrocław offices 🏢. Enjoy a relaxed atmosphere 🍃 and try some “home-made” pizza 🍕 from our office pizza oven. We love having pets 🐶 in the office, so feel free to bring yours along.😁 Join us and shape the future of AI while working the way you like!

Responsibilities

The AI Engineer will collaborate with cross-functional teams to design and build multi-agent workflows and engage with clients to define requirements throughout the software development lifecycle. They will also implement evaluation pipelines to measure agent performance and manage backend tasks while contributing to frontend development.