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Artificial Intelligence Developer

2 tygodni temu


CurieSkłodowskiej Wrocław, Polska airSlate Pełny etat

At airSlate, our journey began in 2008 with a single product that served over 100 million users. Today, we are a leading tech company with 900+ team members across six offices worldwide. Our mission is to empower teams to digitally transform the way their organizations run.

We develop products such as signNow, pdfFiller, DocHub, WorkFlow, Instapage, and US Legal Forms that offer no-code workflow automation, electronic signature, and document management solutions. Our GenAI team focuses on developing agentic AI implementations for both product-facing features and the core of our marketing engine platform.

The team's work spans the entire spectrum of Large Language Model (LLM) activities, including prompt engineering, retrieval-augmented generation (RAG), and fine-tuning. We leverage extensive natural language datasets and have access to cutting-edge LLM technologies, enabling us to push the boundaries of AI-driven marketing solutions.

About This Role

This role offers the opportunity to engage in both foundational AI research and its practical deployment. You will collaborate closely with our core machine learning research group, working on advanced enterprise applications of LLMs.

You'll have the chance to merge cutting-edge AI development with scalable cloud solutions, providing a rare opportunity to innovate in a rapidly evolving landscape. The variety of challenges ensures continuous learning and growth while pushing the boundaries of AI-driven applications.

  • Develop and maintain AI-driven applications leveraging LLMs, RAG (Retrieval-Augmented Generation), and AI agent frameworks;
  • Design, implement, and optimize APIs and microservices, ensuring scalability and performance;
  • Work with various database systems, including relational, NoSQL, and vector databases;
  • Integrate and optimize message queue brokers for distributed system architectures;
  • Collaborate on prompt engineering, evaluation strategies, and fine-tuning LLM-based applications;
  • Build and maintain cloud-native applications using AWS and containerization tools;
  • Design and build new services from scratch for AI agents ecosystem;
  • Improve engineering standards, tooling, and processes;
  • Actively participate in code reviews;
  • Increase system's performance and scalability;
  • Implement integrations with other products APIs.
Requirements

To succeed in this role, you should possess:

  • Strong proficiency in Python and experience with modern frameworks (FastAPI, Flask, Django);
  • Experience with tools and best practices in the Python ecosystem (Poetry, virtual environments, dependency management);
  • Experience with LLM-based solutions, including prompt engineering, retrieval strategies, and evaluation;
  • Solid understanding of data design and database management (SQL, NoSQL, VectorDB);
  • Experience designing scalable RESTful APIs and working with asynchronous programming (asyncio, FastAPI, Celery);
  • Hands-on experience with RAG (Retrieval-Augmented Generation) and search pipelines;
  • Knowledge of message queue brokers (RabbitMQ, Kafka, Redis Streams);
  • Experience with Git, GitHub, and CI/CD tools for automated testing and deployment;
  • Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes);
  • High level of self-awareness, problem-solving, and proactivity.

We encourage you to apply if you have a strong passion for AI and innovation. Join us in shaping the future of airSlate