Senior AI Systems Architect for Production-Grade NLP

Infogain; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A tech firm is seeking a Research-Grade Engineer with a Master's or PhD who can combine deep theoretical knowledge of NLP with the ability to architect scalable systems. The role involves designing high-reliability inference systems addressing complex challenges like long-context reasoning and hallucination in LLMs. Candidates must have 8+ years of practical experience, strong Python skills, and knowledge of advanced LLM internals. This role offers significant responsibility in advancing NLP methodologies and requires excellent problem-solving capabilities.

Qualifications

• 8+ years of experience applying ML research in production.
• Experience with custom inference pipelines.
• Understanding of LLM failure modes and constraining outputs.

Responsibilities

• Architect high-reliability inference systems to address hallucination in LLMs.
• Define NLP strategy for domain adaptation.
• Design evaluation frameworks for model performance.

Skills

Advanced degree in relevant field

Strong proficiency in Python

Experience with LLM internals

Ability to architect scalable systems

Education

Masters or PhD in Computer Science, AI, or related field

Tools

Python

Job description

A tech firm is seeking a Research-Grade Engineer with a Master's or PhD who can combine deep theoretical knowledge of NLP with the ability to architect scalable systems. The role involves designing high-reliability inference systems addressing complex challenges like long-context reasoning and hallucination in LLMs. Candidates must have 8+ years of practical experience, strong Python skills, and knowledge of advanced LLM internals. This role offers significant responsibility in advancing NLP methodologies and requires excellent problem-solving capabilities.