Lead GenAI Engineer – LLM, RAG & Life Sciences Domain

Mogi I/O : OTT/Podcast/Short Video Apps for you; Poland; On-site; PLN 296,359 - 381,033; Full time

Job summary

Mogi I/O is looking for a Senior GenAI Engineer to design, develop, and deploy scalable Generative AI solutions from Poland. The role requires deep expertise in AI/ML and offers a remote work model. Ideal candidates should have 5-9 years of experience with LLMs, transformers, and proficiency in Python along with familiarity in deploying solutions through cloud platforms like AWS or Azure. Join us in driving impactful AI initiatives in the life sciences domain.

Qualifications

• 5-9 years in AI / ML / Data Science, with GenAI exposure.
• Strong experience with LLMs, transformers, embeddings.
• Hands-on with RAG, prompt engineering, and AI agents.

Responsibilities

• Design, train, and fine-tune LLMs and GenAI models.
• Build RAG pipelines, prompt engineering, and AI agents.
• Deploy solutions using cloud platforms and MLOps practices.

Skills

GenAI exposure

Python proficiency

Experience with LLMs

Prompt engineering

Experience with AWS/Azure/GCP

MLOps practices

Experience with Docker

Experience with Kubernetes

CI/CD practices

Vector databases

Job description

Overview

Location: Europe (Remote Poland / Hungary / Estonia / Czech Republic)

Work Type: Full-Time (Remote)

Experience Required: 5-9 Years

Industry: Information Technology / Artificial Intelligence

About The Client

We are hiring on behalf of our client, a fast-growing global technology and business advisory firm specializing in Generative AI, data science, and digital transformation solutions for enterprise clients, particularly in the life sciences domain.

Job Overview

We are seeking a Senior GenAI Engineer to design, develop, and deploy scalable Generative AI solutions. The role involves working across LLMs, RAG pipelines, prompt engineering, and MLOps while collaborating with business teams to deliver high-impact AI use cases.

Key Responsibilities

• Design, train, and fine-tune LLMs and GenAI models
• Build RAG pipelines, prompt engineering, and AI agents
• Develop end-to-end GenAI solutions (POC production)
• Translate business needs into AI-driven use cases and architectures
• Build and manage data pipelines for model training and inference
• Deploy solutions using cloud platforms and MLOps practices
• Implement guardrails, safety, and hallucination mitigation
• Monitor performance, cost, latency, and model drift

Must-Have Qualifications

• 5-9 years in AI / ML / Data Science, with GenAI exposure
• Strong experience with LLMs, transformers, embeddings
• Hands-on with RAG, prompt engineering, and AI agents
• Proficiency in Python + GenAI frameworks (LangChain, LlamaIndex, Hugging Face)
• Experience with vector databases and semantic search
• Hands-on with AWS / Azure / GCP
• Experience with Docker, Kubernetes, CI/CD, MLOps