Architect ML/GenAI IRC296973

GlobalLogic; Town of Poland (NY); Sur place; USD 120 000 - 160 000; Plein temps

Résumé du poste

GlobalLogic is looking for a highly skilled GenAI Engineer located in Town of Poland, New York. The role involves designing, building, and deploying LLM-driven applications and intelligent agent systems. You will blend prompt engineering and software development with MLOps to deliver scalable GenAI solutions.

The ideal candidate should have a Master's/Ph.D. in a related field and substantial experience in ML/AI, preferably with a focus on LLM development. Competitive compensation and comprehensive benefits are offered.

Qualifications

• 7+ years of experience in software or ML engineering.
• 4+ years in LLM / GenAI development.
• Hands-on experience with LLM APIs.

Responsabilités

• Design, implement, and optimize GenAI pipelines.
• Develop prompt engineering frameworks.
• Build agentic systems using various frameworks.

Connaissances

Python programming skills

ML/AI stacks experience

Problem-solving skills

Analytical skills

Communication skills

Teamwork skills

Formation

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

Outils

OpenAI API

Hugging Face

FAISS

Azure OpenAI

Description du poste

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.

#LI-OM1

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 Qualifications

• 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.

Benefits

We value diversity and inclusion, providing equal opportunities for all individuals. Competitive compensation with a comprehensive benefits package that supports overall well‑being and work‑life balance.