Senior AI Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
Ireland, Galway

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

HPE Galway are seeking a highly skilled Senior AI Engineer to join our growing AI team and lead the development of cutting-edge AI-driven applications. You will be responsible for designing, building, and optimizing large language model (LLM) systems, retrieval-augmented generation (RAG) frameworks, and advanced AI solutions to power our core products.

Job Responsibility:

Design and develop AI-driven applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and Graph RAG architectures
Implement and optimize RAG techniques for improved knowledge retrieval and contextual reasoning
Build and maintain graph-based AI solutions using modern frameworks like LangGraph, PydanticAI, and LangChain
Develop and deploy Model Context Protocol (MCP) servers for seamless data integration across various sources
Design scalable vector database solutions using Pinecone, Weaviate, or similar technologies
Integrate Google Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocols for multi-agent workflows
Collaborate with cross-functional teams to translate business requirements into technical AI solutions
Maintain high code quality standards and implement comprehensive testing strategies

Requirements:

Bachelor’s degree in computer science, AI/ML or related technology
Minimum of 8+ years of work experience in cloud based and/or open source software development
3+ years of experience in AI/ML engineering with a focus on LLMs and knowledge retrieval systems
Strong hands-on experience with LLM frameworks: LangChain, LangGraph, PydanticAI, or similar
Proven experience implementing RAG systems and vector databases (PostgreSQL with pgvector, Pinecone, FAISS, Weaviate, Chroma)
Proficiency in Python with deep knowledge of ML libraries (PyTorch, TensorFlow, Transformers)
Experience with Model Context Protocol (MCP) server development and deployment
Understanding of Google ADK and A2A protocol implementations
Strong knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services
Experience with prompt engineering, fine-tuning, and LLM optimization techniques

Nice to have:

Experience with multi-agent architectures and agent orchestration frameworks
Knowledge of graph-based AI and knowledge graph construction
Familiarity with LLMOps tools (LangSmith, Weights & Biases, MLflow)
Experience with enterprise-scale AI deployments and monitoring
Understanding of AI safety, alignment, and responsible AI practices
Contributions to open-source AI/ML projects

What we offer:

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Additional Information:

Job Posted:
August 14, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

View All Jobs In This Company

Job Link Share:

Senior AI Engineer