Architect ML/GenAI IRC296973

GlobalLogic Inc.; Polska; Hybrid; USD 140,000 - 180,000; Full time

Job summary

GlobalLogic is looking for a skilled GenAI Engineer based in the Town of Poland, New York, to design, build, and deploy GenAI applications using Large Language Models. This role involves prompt engineering and data engineering to create scalable GenAI solutions.

The ideal candidate will possess a Master’s or Ph.D. and at least 7 years of experience in software engineering, including 4 years in GenAI development. Strong Python skills and familiarity with LLM APIs are essential.

Qualifications

• 7+ years of experience in software or ML engineering.
• 4+ years in LLM / GenAI development.
• Hands-on experience with LLM APIs.
• Experience building RAG pipelines.
• Familiarity with agent frameworks.
• Practical understanding of data engineering.

Responsibilities

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

Skills

Python programming

ML/AI stacks

LLM APIs

Problem-solving skills

Analytical skills

Communication skills

Teamwork skills

Education

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

Tools

OpenAI

Hugging Face

Vertex AI

SageMaker

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).

Job 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.