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Sr Generative Ai Engineer – Healthcare / Life Sciences - job post

YO IT CONSULTING
Warszawa, mazowieckie•Hybrydowo
Pełny etat

Lokalizacja

Warszawa, mazowieckie•Hybrydowo

Pełny opis stanowiska

Location: Poland (Hybrid / Remote based on project needs)
Employment Type: Full-time
Work Authorization: Must have a valid work permit for Poland
Experience Required: 5–9 years (Minimum 2+ years in Generative AI)
Industry: Healthcare / Life Sciences / Pharmaceutical / MedTech

Role Overview

We are seeking a highly skilled Senior Generative AI Engineer to design, develop, and operationalize cutting-edge Generative AI solutions for healthcare and life sciences platforms. This role combines hands-on model development, prompt engineering, pipeline architecture, MLOps, and business-facing solution design.

The ideal candidate will have deep expertise in Large Language Models (LLMs), GenAI frameworks, and enterprise AI deployment, along with experience translating real-world healthcare and life sciences problems into scalable AI solutions.

Key Responsibilities

Generative AI Model Development

  • Design, train, fine-tune, and evaluate Generative AI models including LLMs and multimodal models

  • Develop and optimize prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based pipelines

  • Work with open-source and commercial LLMs such as OpenAI, Anthropic, LLaMA, Mistral, and Hugging Face

  • Implement hallucination mitigation, safety guardrails, and responsible AI mechanisms

  • Build scalable and production-ready GenAI systems

Solution Design & Business Enablement

  • Collaborate with business, product, and consulting teams to identify GenAI opportunities

  • Translate business problems into scalable AI architectures and technical solutions

  • Develop POCs, prototypes, and solution blueprints

  • Define success metrics, ROI, scalability, and feasibility of GenAI initiatives

Data Engineering, MLOps & Deployment

  • Design and manage data pipelines for GenAI training, fine-tuning, and inference

  • Deploy, monitor, and optimize GenAI models in production environments

  • Implement CI/CD pipelines and model monitoring systems

  • Optimize model performance, latency, and cost efficiency

  • Collaborate with engineering teams on cloud deployment and scaling

Governance & Responsible AI

  • Implement explainability, auditability, and traceability mechanisms

  • Ensure compliance with data privacy, regulatory, and governance requirements

  • Define and enforce responsible AI standards and best practices

Mandatory Requirements

  • Valid work permit for Poland

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

  • 5–9 years of experience in AI, ML engineering, or data science

  • Minimum 2+ years of hands-on experience in Generative AI

  • Must have Life Sciences or Healthcare industry experience, including one or more of:

    • Pharmaceutical

    • MedTech

    • Hospitals or Clinics

    • Healthcare Insurance

    • Consumer Healthcare

  • Strong hands-on experience with:

    • Large Language Models (LLMs)

    • Transformers, embeddings, and vector databases

    • GenAI frameworks such as LangChain, LlamaIndex, Haystack, Hugging Face

    • Fine-tuning techniques such as LoRA, PEFT, and instruction tuning

    • Python programming

  • Experience with cloud platforms:

    • AWS, Azure, or GCP

  • Experience with containerization tools:

    • Docker, Kubernetes

  • Experience with MLOps tools, CI/CD pipelines, and model monitoring

Preferred Qualifications

  • Strong expertise in RAG pipelines, GenAI agents, and multimodal AI

  • Experience deploying enterprise-scale GenAI solutions

  • Experience in healthcare AI, clinical AI, or pharmaceutical AI use cases

  • Experience working in consulting or enterprise product environments

  • Strong understanding of responsible AI, governance, and compliance

Key Skills & Competencies

  • Deep expertise in Generative AI, LLMs, RAG, and AI agents

  • Strong software engineering and system architecture skills

  • Ability to translate business problems into AI-driven solutions

  • Strong problem-solving and analytical thinking skills

  • Experience building scalable, secure, and production-grade AI systems

  • Strong communication skills and ability to work with cross-functional teams

  • Strong ownership mindset and ability to drive end-to-end solutions

What We Offer

  • Opportunity to work on cutting-edge Generative AI solutions in healthcare and life sciences

  • Exposure to enterprise-level AI transformation initiatives

  • Collaborative, innovation-driven work environment

  • Career growth opportunities into GenAI Architect, AI Lead, or Head of AI roles

  • Competitive compensation and performance-based incentives

  • Continuous learning and professional development support

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