Architect ML/GenAI IRC296972

GlobalLogic; Kraków; On-site; PLN 80,000 - 120,000; Full time

Job summary

GlobalLogic in Kraków is seeking a highly skilled GenAI Engineer to design, build, and deploy large language model-driven applications. This role blends prompt engineering, software development, and data engineering to deliver production-grade GenAI solutions.

The ideal candidate should have a Master’s or Ph.D., extensive experience in software or ML engineering, and a strong background in Python and LLM development. We celebrate diversity and provide comprehensive benefits, including health and wellness options.

Qualifications

• 7+ years of experience in software or ML engineering.
• 4+ years in LLM / GenAI development.
• Hands-on experience with LLM APIs like OpenAI, Anthropic, and Hugging Face.
• Familiarity with cloud AI platforms and MLOps principles.

Responsibilities

• Design, implement, and optimize GenAI pipelines.
• Develop prompt engineering frameworks.
• Build agentic systems for autonomous reasoning.
• Architect and deploy GenAI APIs and services.
• Collaborate with data engineers on ETL pipelines.

Skills

Python programming

ML/AI stacks

LLM APIs

RAG pipelines

Agent frameworks

Data engineering

Problem-solving

Analytical skills

Education

Master’s / Ph.D. in Computer Science, Data Science, Applied Mathematics, or related field

Job description

We are seeking a highly skilled GenAI Engineer to design, build, and deploy large language model (LLM)‑driven applications and intelligent agent systems. The role blends prompt engineering, pipeline design, and software development with MLOps and data engineering to deliver scalable, production‑grade GenAI solutions.

Requirements

• Master’s / Ph.D. in Computer Science, Data Science, Applied Mathematics, or a related field.
• 7+ years of experience in software or ML engineering.
• 4+ years in LLM / GenAI development.
• Strong Python programming skills and experience with ML/AI stacks.
• Hands‑on experience with LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face).
• Experience building RAG pipelines (FAISS, Weaviate, Chroma, Milvus) and with vector embeddings.
• Familiarity with agent frameworks (LangChain, DSPy, CrewAI, LangGraph).
• Knowledge of cloud AI platforms (Vertex AI, SageMaker, Bedrock, Azure OpenAI) and MLOps principles.
• Practical understanding of data engineering (ETL, data cleaning, schema structuring).
• Excellent problem‑solving skills.
• Excellent analytical, communication, and teamwork skills.

Preferred

• Experience in fine‑tuning or adapting LLMs.
• Exposure to multimodal GenAI and contextual evaluation tools.
• Familiarity with GenAI UX development (Streamlit, Gradio, React‑based chat UIs).

Responsibilities

• Design, implement, and optimize GenAI pipelines.
• Develop prompt engineering frameworks.
• Build agentic systems using various frameworks for autonomous and/or multi‑step reasoning.
• Architect and deploy GenAI APIs and services.
• Establish LLMOps practice: versioning, benchmarking, and monitoring.
• Collaborate with data engineers on ETL and knowledge ingestion pipelines.
• Implement GenAI UX layers (chat interfaces, dashboards, plugins).
• Support pre‑sales PoCs and cross‑functional demos showcasing GenAI capabilities.

Benefits

We provide a comprehensive benefits package that prioritizes overall well‑being, including health, wellness, and work‑lifebalance options such as relocation and rotation opportunities for diverse cultural experiences.

We celebrate diversity, equity, and inclusion, and provide equal opportunities to all individuals.