aimlroles

AI Engineer

Talan talan.com Open · verified Oct 22, 2026
Hybrid Warsaw Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Talan. Warsaw · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationWarsaw
WorkplaceHybrid
EmploymentFull-time
PostedSep 1, 2026 · 7w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build AI products with large language models and conventional machine learning, taking them from proof of concept through release
  • Connect and adapt models using fine-tuning, retrieval-augmented generation and machine-learning pipelines
  • Put models into production, then monitor, assess and maintain them through MLOps practices
  • Prepare datasets and improve their quality, including through feature engineering

What you bring

  • You work with Python and relevant libraries, including PyTorch or TensorFlow and scikit-learn
  • You know LLM methods such as prompt design, retrieval-augmented generation, embeddings and vector databases
  • You bring practical knowledge of traditional machine learning, MLOps, SQL and cloud or on-premises infrastructure
  • You speak both English and Polish

Who this fits

This mid-level role suits an AI engineer who can deliver assigned work independently within an established architecture. The position is hybrid in Warsaw and offers full-time employment or contractor work.

From the employer

Talan – Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year.

Our Core Areas of Expertise

  • Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.

  • Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.

  • Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

What would you be doing?

Designs, builds, and deploys AI solutions (LLMs and traditional machine learning models), from Proof of Concept (PoC) to production.

Responsibilities:

  • Implementing and integrating AI models (fine-tuning, RAG, ML pipelines)
  • Deploying models to production and maintaining them (MLOps, monitoring, evaluation)
  • Working with data: feature engineering, data quality, and dataset preparation

What are we looking for?

  • Python and key libraries (PyTorch/TensorFlow, scikit-learn, LangChain/LlamaIndex)
  • LLM technologies: prompt engineering, RAG, fine-tuning, embeddings, vector databases (e.g., Qdrant, pgvector)
  • Traditional ML: supervised and unsupervised learning models, evaluation, and validation
  • MLOps: containerization (Docker/Kubernetes), CI/CD, MLflow, model serving (vLLM, Triton)
  • SQL, cloud platforms and/or on-premises infrastructure
  • Independently delivers tasks within a defined solution architecture.
  • English and Polish speaker.

What do we offer you?

We offer:

  • Full-time and permanent employment contract or contractor mode
  • Hybrid setup in Warsaw Offices.
  • Professional growth possibilities & learning opportunities
  • Possibility to join a multicultural team & work in the international environment
  • Variety of benefits to support your physical, emotional and financial wellbeing: private medical insurance, life insurance, lunch and transport card as part of the flexible remuneration pack, and online language classes
  • Smart Office Pack

If you are passionate about data, development & tech, we want to meet you!

Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).