Senior AI Engineer - Enterprise AI Solutions

Belvedere

Poland

Hybrid

PLN 180,000 - 240,000

Part time

14 days+
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Benefits offered by this job

Collaborative environment
Hybrid work model
Growth opportunities

Job summary

Belvedere is seeking a Senior AI Engineer in Warsaw to design, build and scale AI-driven applications for tax automation. You will work across the full AI lifecycle, from LLM integration to agent orchestration, with enterprise-grade deployment.

You will collaborate with product owners, data engineers and business stakeholders to deliver impactful AI solutions using .NET/C#, Python and Azure services.

Qualifications

  • 5+ years of professional software engineering experience.
  • 2+ years delivering AI/ML or Generative AI solutions in production environments.
  • Experience with enterprise-scale AI implementations.
  • Strong proficiency in .NET/C# development.
  • Strong proficiency in Python for AI/ML development.
  • Hands-on experience with Microsoft Azure services.

Responsibilities

  • Design and develop scalable AI applications using .NET (C#) and Python.
  • Build enterprise AI solutions leveraging LLMs and Gen AI architectures.
  • Develop intelligent agents and multi-agent workflows.
  • Design and implement RAG solutions with vector databases and knowledge sources.
  • Integrate AI services with enterprise applications, APIs and data platforms.
  • Collaborate with cross-functional teams to define AI use cases and solutions.
  • Ensure security, governance, scalability and performance of AI solutions.
  • Mentor junior engineers and contribute to engineering standards.

Skills

.NET/C#
Python for AI/ML
Azure cloud services
Azure OpenAI Service
LLMs & Generative AI
Agentic AI frameworks
RAG architectures
REST APIs & microservices
Vector databases

Tools

Azure services tools

Job description

Senior AI Engineer - Enterprise AI Solutions

Location: Warsaw

Contract Type: 3 Months
Job Type: Hybrid

  • Work on cutting-edge AI solutions for tax automation use cases
  • Build enterprise-scale AI applications using .NET, Python and Azure
  • Design and implement Agentic AI frameworks and RAG architectures
  • Join a forward-thinking team delivering next-generation AI solutions
Company Overview

Our client is an established organisation delivering innovative AI-powered solutions across the financial services sector. They focus on building scalable, enterprise-grade AI applications that solve complex business challenges. With a strong commitment to leveraging the latest technologies, including Large Language Models and Generative AI, they are at the forefront of AI transformation. The company values collaboration, continuous learning and technical excellence, creating an environment where engineers can grow their expertise while working on meaningful projects that drive real business impact.

They are seeking a talented Senior AI Engineer to join their team in Warsaw. This contract role offers the opportunity to work on an exciting AI initiative focused on tax automation, where you'll design and build intelligent solutions that combine cutting-edge AI technologies with robust enterprise architecture.

Position Overview

As a Senior AI Engineer, you'll play a central role in designing, building and scaling AI-driven applications that transform how the organisation approaches tax-related processes. You'll work across the full AI lifecycle, from integrating Large Language Models and developing intelligent agents to implementing Retrieval-Augmented Generation solutions and ensuring enterprise-grade deployment. This position offers the chance to work with modern AI technologies while collaborating with product owners, architects, data engineers and business stakeholders to deliver solutions that meet real business needs.

Responsibilities
  • Design and develop scalable AI applications using .NET (C#) and Python
  • Build enterprise AI solutions leveraging LLMs, Generative AI and Agentic AI architectures
  • Develop intelligent agents and multi-agent workflows using orchestration frameworks
  • Design and implement RAG solutions with vector databases and knowledge sources
  • Integrate AI services with enterprise applications, APIs and data platforms
  • Build reusable AI components, services and accelerators following best practices
  • Collaborate with cross-functional teams to define AI use cases and solutions
  • Ensure solutions meet enterprise requirements for security, governance, scalability and performance
  • Conduct code reviews and mentor junior engineers
  • Contribute to AI engineering standards and best practices
  • Stay current with emerging AI technologies, frameworks and industry trends
Requirements
  • 5+ years of professional software engineering experience
  • 2+ years delivering AI/ML or Generative AI solutions in production environments
  • Demonstrated experience working on enterprise-scale AI implementations
  • Strong proficiency in .NET/C# development
  • Strong proficiency in Python for AI/ML application development
  • Hands-on experience with Microsoft Azure services and cloud-native development
  • Experience with Azure OpenAI Service, Azure AI Services, Azure Functions, API Management and Azure storage services
  • Experience designing and implementing RAG architectures
  • Strong understanding of REST APIs, microservices and distributed systems
  • Familiarity with vector databases and semantic search technologies
  • Strong analytical and problem-solving skills
  • Ability to collaborate effectively with technical and business stakeholders
  • Experience with Agentic AI frameworks and orchestration platforms
  • Knowledge of prompt engineering, agent orchestration, deployment, monitoring and governance
Benefits

While specific benefits details are to be confirmed, you'll work in a collaborative environment focused on innovation and technical excellence. You'll have the opportunity to expand your expertise in emerging AI technologies while working on meaningful projects that deliver real business value. The role offers exposure to cutting-edge AI frameworks and the chance to contribute to enterprise-scale solutions, working alongside experienced engineers, architects and data specialists who are committed to building the next generation of AI applications.

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