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Principal Software Engineer - Data Ingestion - Job Opportunity at Red Hat, Inc. (IBM)

Waterford, Ireland
Full-time
Senior
Posted: January 27, 2025
Hybrid
USD 140,000 - 180,000 annually based on location and seniority

Benefits

Flexible work environments (office, hybrid, remote)
Global career opportunities across 40+ countries
Open source community participation
Professional development and mentorship
Collaborative culture with emphasis on innovation
IBM corporate backing with startup mindset

Key Responsibilities

Design and implement AI tooling systems for content generation quality improvement
Develop efficient retrieval mechanisms for external data sources
Train and fine-tune generative models
Evaluate model performance and implement improvements
Collaborate with cross-functional teams
Participate in upstream open source projects
Provide technical mentorship and expertise
Bridge development between Red Hat and IBM Research teams

Requirements

Education

Bachelor's degree in computer science or equivalent

Experience

8 years

Required Skills

Advanced Python programming SQL Machine learning frameworks (TensorFlow, PyTorch) Natural language processing RAG architectures Data processing Microservices Kubernetes Strong communication skills
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Sauge AI Market Intelligence

Industry Trends

AI democratization is driving significant demand for LLM expertise, particularly in enterprise contexts Integration of open source AI solutions with enterprise systems is becoming a critical differentiator Rising demand for RAG specialists as organizations seek to leverage private data with LLMs Increasing focus on AI tooling standardization and pipeline automation

Role Significance

Likely leading a team of 5-8 engineers with matrix management across IBM Research collaboration
Principal level position with significant technical leadership and strategic influence on Red Hat's AI initiatives

Key Projects

Enterprise-scale LLM customization pipelines Open source AI tooling development Research-to-production implementation of novel AI techniques Cross-organizational AI infrastructure standardization

Success Factors

Deep understanding of both theoretical ML concepts and practical implementation challenges Ability to bridge research and production environments Strong open source community leadership Excellence in technical mentorship and knowledge transfer Strategic thinking in AI technology selection and implementation

Market Demand

Very High - Critical shortage of senior engineers with combined AI/ML and enterprise systems experience

Important Skills

Critical Skills

Deep understanding of RAG architectures and implementation Production-grade Python development Enterprise system architecture Technical leadership and mentoring Open source community engagement

Beneficial Skills

Research paper comprehension and implementation Performance optimization for large-scale systems Developer advocacy ML Ops practices Business strategy understanding

Unique Aspects

Rare opportunity to influence enterprise AI adoption at massive scale
Direct collaboration with IBM Research provides unique access to cutting-edge AI developments
Position to shape open source AI tooling standards
Balance of research influence with practical implementation

Career Growth

2-4 years depending on project impact and leadership development

Potential Next Roles

Distinguished Engineer Chief Architect AI Technical Director Engineering Director

Company Overview

Red Hat, Inc. (IBM)

Red Hat stands as the world's leading provider of enterprise open source solutions, now strengthened by IBM's resources while maintaining operational independence

Dominant position in enterprise open source, serving over 90% of Fortune 500 companies
Strategic European hub in Waterford with significant investment in AI initiatives
Open source principles drive collaboration, with strong emphasis on innovation and knowledge sharing
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