AI Engineer - Generative AI Solutions @ Belvedere Recruitment

Essential:

• 6-8 years' experience in software engineering with strong focus on AI and machine learning solution development.
• Advanced Python programming skills with hands-on experience building and deploying AI/ML solutions.
• Proven experience with generative AI, large language models (LLMs) and prompt engineering techniques.
• Solid knowledge of retrieval-augmented generation (RAG) pipelines, vector databases and retrieval systems.
• Hands-on experience with AI frameworks including LangChain and LangGraph.
• Working knowledge of natural language processing (NLP), machine learning principles and model evaluation.
• Experience with CI/CD practices and cloud platforms, particularly Amazon Web Services (AWS).

Desirable:

• Exposure to machine learning frameworks such as PyTorch or TensorFlow.
• Experience with MLflow, Airflow or Kubernetes for workflow orchestration.
• Familiarity with the Model Context Protocol (MCP) for service orchestration.
• Experience working in agile environments with strong communication and problem-solving capabilities.

Company Overview

Our client is a forward-thinking technology organisation based in Warsaw that specialises in building advanced AI and machine learning solutions. They work across multiple sectors, helping businesses solve complex operational challenges through intelligent automation and generative AI. The organisation values technical excellence, collaborative problem-solving and a commitment to staying at the forefront of AI innovation. They're building a team of skilled engineers who are passionate about translating cutting-edge AI research into real-world applications that drive measurable business value.

We're looking for an experienced AI Engineer to join our client's growing team in Warsaw. You'll take ownership of designing, building and deploying generative AI solutions that address genuine business challenges. This is an excellent opportunity to work with modern AI frameworks, lead intelligent automation projects and collaborate with talented cross-functional teams on impactful work.

Position Overview

As an AI Engineer, you'll play a central role in developing and optimising generative AI and machine learning solutions that drive operational efficiency and business growth. You'll work across the full development lifecycle, from initial experimentation and model evaluation through to production deployment on cloud platforms. Your technical expertise in Python, AI frameworks and cloud infrastructure will be essential as you design RAG pipelines, build AI agent workflows and create intelligent automation use cases that solve real business problems.

Contract Type: Contract

Duration (months): 6

• Design and deploy generative AI solutions that solve real business problems and improve operational efficiency.
• Lead end-to-end ownership from AI experimentation through to production rollout across cloud platforms.
• Work with cutting-edge AI frameworks including LangChain, LangGraph and retrieval-augmented generation (RAG) pipelines.
• Collaborate with cross-functional teams to deliver intelligent automation and AI agent workflows.
• Continuously evaluate emerging AI tools and best practices to enhance delivery speed and business impact.

Benefits

• Opportunity to work on innovative generative AI projects with real-world business impact.
• Access to continuous learning and development in emerging AI technologies and frameworks.
• Collaborative environment working alongside experienced engineers and cross-functional teams.
• Flexible contract role offering autonomy and technical ownership of projects.

Alongside these benefits, you'll join a forward-thinking organisation that values technical excellence, collaborative problem-solving and continuous innovation. You'll work in an environment where your contributions directly shape AI solutions that make a tangible difference to business outcomes.

How to Apply

To apply for this role, please submit your CV using the form below or email [email protected].

,[Design, build and deploy generative AI and machine learning solutions addressing specific business challenges., Develop and optimise retrieval-augmented generation (RAG) pipelines and AI agent workflows using modern frameworks., Create model training and evaluation pipelines for structured and unstructured data, ensuring solution quality and accuracy., Collaborate with cross-functional teams and stakeholders, providing technical guidance and taking end-to-end ownership., Evaluate emerging AI tools, models and best practices to improve delivery speed, performance and business impact., Implement continuous integration and continuous deployment (CI/CD) practices for AI solutions on cloud platforms.] Requirements: AI, Python, LLMs, RAG, LangChain, LangGraph, NLP, CI/CD, AWS, PyTorch, TensorFlow, MLflow, Airflow, Kubernetes, MCP