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

About Chabre IT Services

Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions, smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality.

About our Client

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.

Qualifications

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

We offer

Rate: 160 - 190 PLN/h + VAT
Remote work
Subsidy for peripherals in the amount of 500,00zł
Working tool (MacBook Pro or Lenovo Legion 5)
Co-financing of courses related to the position
Benefits: MultiSport, Medicover

AI Engineering Lead

Chabre IT Services Sp. z.o.o