Senior AI / ML Engineer (Generative AI, LLMs)

Senior GenAI Engineer (Europe – Poland | Hungary | Estonia | Czech Republic)

Location & Work Model

• Open to candidates based in: Poland, Hungary, Estonia, Czech Republic

Hybrid / Remote model depending on location:

• Poland-based candidates: ~60% remote / 40% client site
• Other EU locations: Remote with ~10% travel across Europe
• Must be open to short-notice client travel

Company Overview

We are a fast-growing business advisory and technology firm operating at the intersection of Artificial Intelligence, data science, and digital transformation.

We partner with global enterprises—especially in the life sciences sector—to deliver AI-driven solutions that transform commercial operations, accelerate insights, and improve decision-making.

With established global operations and expanding presence across Europe, we are building a strong footprint focused on GenAI-led enterprise transformation.

Role Overview

We are seeking a Senior GenAI Engineer to design, build, and scale Generative AI solutions across client engagements and internal platforms.

This role combines:

• Hands-on LLM engineering
• Prompt & pipeline development (RAG, agents)
• MLOps & deployment
• Business-facing solution design

You will work closely with consulting, product, and business teams to translate real-world problems into scalable, high-impact GenAI solutions.

Key Responsibilities

GenAI Engineering & Development

• Design, fine-tune, and evaluate LLMs and multimodal models
• Build RAG pipelines, agents, and prompt engineering frameworks
• Work with open-source and commercial LLMs (OpenAI, Anthropic, LLaMA, Mistral)
• Implement guardrails, safety mechanisms, and hallucination mitigation

Business & Use Case Development

• Partner with stakeholders to identify and prioritize high-impact GenAI use cases
• Translate business problems into solution architectures and measurable outcomes (ROI)
• Develop POCs, prototypes, and solution blueprints

Data, MLOps & Deployment

• Build and manage data pipelines for training, fine-tuning, and inference
• Deploy scalable solutions using AWS / Azure / GCP
• Implement CI/CD, monitoring, retraining, and performance optimization
• Track latency, cost, and model drift in production

Responsible AI & Governance

• Ensure ethical, compliant, and secure AI deployment
• Address GDPR, data privacy, and IP considerations
• Implement auditability, explainability, and governance frameworks

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
• 5–9 years of experience in AI/ML/Data Science, with 2+ years in Generative AI

Strong hands-on experience with:

• LLMs, transformers, embeddings, vector databases
• Prompt engineering, RAG pipelines, agents
• Proficiency in Python and frameworks such as LangChain, LlamaIndex, Hugging Face
• Experience with fine-tuning techniques (LoRA, PEFT, instruction tuning)
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and Docker/Kubernetes
• Familiarity with MLOps, CI/CD pipelines, and model monitoring

Domain Requirement (Mandatory)

Must have experience in Life Sciences, including:

• Pharmaceuticals
• MedTech
• Healthcare providers (Hospitals / Clinics)
• Health Insurance
• Consumer Health

Key Skills & Attributes

• Deep expertise in GenAI (LLMs, RAG, agents, multimodal AI)
• Strong problem-solving and structured thinking
• Ability to connect AI solutions to business impact
• Strong communication skills for non-technical stakeholders
• Ownership mindset: idea → production
• Adaptability in a fast-evolving AI landscape
• Focus on Responsible AI and governance

What We Offer

• Work on cutting-edge GenAI solutions for global enterprises
• Exposure to high-impact, CXO-level AI initiatives
• Strong technical ownership and innovation-driven culture
• Career growth into AI Architect / GenAI Lead roles
• Competitive compensation + learning opportunities

Important Requirements

• Valid work authorization in respective country
• Willingness to work in client-facing environment
• Europass CV format preferred