Tooploox
Tooploox

Tooploox | Senior AI NodeJS Engineer

16 000 zล‚ โ€“ 28 000 zล‚ per month

TLDR

Build AI Agentic solutions across the full stack, integrating RAG/LLMs and multi-agent architectures for production-ready features.

Hi there!

Weโ€™re Tooploox ๐Ÿ’Ž, 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. Weโ€™ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale.

What you will do:

  • Collaborate with cross-functional teams to design and build AI Agentic solutions.

  • Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.

  • Take ownership of assigned tasks and deliver high-quality, maintainable code.

  • Manage backend tasks while contributing to frontend development.

  • Stay informed about trends and advancements in AI and related fields, 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:

  • Experience in full-stack development using mainly NodeJS (with TypeScript).

  • At least 1 year of experience in AI Engineering role.

  • Versatile in technology use, comfortable working across backend and frontend tasks.

  • Track record in staying current with AI and Agentic technologies, including best practices and architecture.

  • Openness to client collaboration, fostering clear communication and effective partnership.

  • Strong commitment to learning new technologies and swiftly adapting to new products and APIs.

  • Understanding of Retrieval-Augmented Generation (RAG) and its applications.

  • Familiarity with Multi-Agents concept, tools usage and MCP Servers.

  • Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic).

  • Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience.

  • Understanding of prompt design principles and an ability to create effective prompts.

  • Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP).

  • Basic experience with CI/CD pipelines and DevOps best practices.

  • Competence in REST API usage and efficient database integration.

  • Fluency in English language.

It would be great if you also have:

  • Basic knowledge of machine learning principles.

  • Understanding Python source code.

  • Experience with React.

  • Experience with model fine-tuning and distillation.

  • Familiarity with LLM evaluation.

  • Experience with Model Context Protocol (MCP).

  • Experience with graph databases.

  • Familiarity with other programming languages and frameworks.

  • Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat

How we work:

At Tooploox ๐Ÿ’Ž, you have the flexibility to choose your working hours โฐ and location ๐Ÿ“. While we value remote work, we also believe in building relationships ๐Ÿคand invite you to join us in our Warsaw and Wrocล‚aw offices ๐Ÿข. Enjoy a relaxed atmosphere ๐Ÿƒ and try some โ€œhome-madeโ€ pizza ๐Ÿ• from our office pizza oven. We love having pets ๐Ÿถ in the office, so feel free to bring yours along.๐Ÿ˜

Join us and shape the future of AI while working the way you like!

Benefits

Flexible Work Hours

flexibility to choose your working hours and location

Office pizza oven with home-made pizza

office pizza oven - home-made pizza

Pets allowed in the office

pets in the office

Remote-Friendly

remote work

Tooploox builds AI-powered products and services that drive innovation across diverse industries such as healthcare and e-commerce. Focused on delivering impactful solutions, our dedicated R&D team leverages deep expertise and groundbreaking research to help clients scale effectively.

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