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Open nowPosted 237 days ago

AI Engineering Lead

chabre42 open roles

Where
Warszawa
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Your applicationOpen nowAI Engineering Leadchabre · Warszawa

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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 237 days ago

The posting

Working as an AI Engineering Lead, you will:

  • Design and deliver modern, production-ready applications powered by AI technologies
  • Contribute to the definition and evolution of high-level solution architecture
  • Produce clear and well-structured technical documentation
  • Support software releases and collaborate with stakeholders to resolve technical challenges
  • Present technical concepts and implemented solutions to clients in a clear and business-oriented manner
  • Drive innovative approaches to solution development throughout the project lifecycle
  • Mentor and guide junior engineers, promoting engineering excellence within the team
  • Degree in Computer Science or a related discipline
  • Around 2 years of professional experience in a similar role
  • Strong expertise in Python and solid understanding of the Software Development Life Cycle (6+ years of experience)
  • Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
  • Practical knowledge of SQL and NoSQL databases
  • In-depth understanding of Large Language Models (LLMs), including transformers, embeddings, tokenization, and API integrations
  • Experience with prompt engineering and orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
  • Knowledge of AI design patterns and Retrieval-Augmented Generation (RAG) approaches
  • Up-to-date understanding of AI trends, tools, and industry standards
  • Strong software engineering skills, with adherence to coding standards and best practices
  • Experience with code reviews, debugging, automated testing, and version control systems
  • Familiarity with CI/CD pipelines and automation tools (e.g., GitHub, Azure DevOps, Docker, Kubernetes)
  • Experience deploying and maintaining AI solutions in enterprise environments
  • Ability to implement logging, monitoring, and alerting mechanisms
  • Solid understanding of scalable system design, including asynchronous processing and multithreading
  • Systems thinking approach and problem-solving mindset
  • Experience designing secure, scalable, and resilient architectures using microservices, serverless, containers, and API-driven solutions
  • Familiarity with enterprise integration patterns (messaging systems, pub/sub, event-driven architectures)
  • Knowledge of IAM, RBAC, secrets management, and network security concepts (e.g., VPCs, firewalls)
  • Experience building web applications and processing large-scale datasets

Our client is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. It operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector.

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