Working as an AI Engineer, you will:

Design, develop, and operate AI-powered services integrating orchestration tools, workflows, and cloud infrastructure
Build and maintain Retrieval-Augmented Generation (RAG) pipelines for processing internal knowledge, including ingestion, indexing, and evaluation
Integrate AI-driven workflows into existing enterprise platforms and backend systems
Define and implement tool/function schemas, orchestration patterns, and prompt strategies, ensuring high-quality and secure outputs
Develop multi-agent and agentic workflows leveraging frameworks such as LangGraph or LangChain
Automate testing, evaluation, and monitoring of AI systems, including quality validation and observability mechanisms
Contribute to architectural decisions and promote engineering best practices across the SDLC
Participate in Agile ceremonies and collaborate closely with cross-functional teams
Mentor team members, foster alignment on technical direction, and raise the overall engineering standard
Ensure responsible AI usage by applying governance, security, and compliance principles

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

Minimum 5 years of professional software engineering experience with strong backend expertise (Python preferred)
Solid understanding of GenAI concepts, including LLM APIs, prompt engineering, RAG, tool/function calling, and agent orchestration
Hands-on experience building production-grade LLM applications with focus on reliability, security, and observability
Practical experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or similar
Strong knowledge of LLM evaluation techniques, hallucination mitigation, and guardrail implementation
Experience integrating AI services (e.g., Azure OpenAI or similar) with attention to timeouts, fallback mechanisms, and safe outputs
Background in distributed systems and scalable architectures (concurrency, async I/O, caching, API-driven design)
Experience designing microservices, serverless solutions, or containerized applications
Strong knowledge of cloud platforms (preferably Azure) and AI-related services
Familiarity with vector databases and search technologies (e.g., Azure AI Search)
Solid understanding of CI/CD pipelines and infrastructure automation
Proficiency with Git-based version control and collaborative development workflows
Experience implementing logging, tracing, monitoring, and metrics for production systems
Understanding of IAM, authentication/authorization patterns (JWT/OAuth), and secure secret management
Experience building automated testing frameworks, including evaluation harnesses for AI solutions
Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders
Strong problem-solving mindset and ownership attitude

We offer

Rate: 130 - 170 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 Engineer

Chabre IT Services Sp. z.o.o