Posted: 18 June
The role
Senior Software Engineer – This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.Job Description:Location: GalwayType: Permanent / Full timeAbout the RoleAre you a relentlessly curious technologist who thrives in the fast-moving, ambiguous landscape of modern AI? As a Principal Software Engineer on the HPE Innovation team, you will be the technical visionary leading the development of cutting-edge AI and agentic solutions. You will lead a diverse group of passionate engineers to transform how developers work, pushing the boundaries of Large Language Models (LLMs) and multi-agent workflows to build the next generation of our core products.ResponsibilitiesAct as a force multiplier for the team, mentoring engineers, driving open-source contributions, and fostering a continuous-learning culture.Lead with a bold, prototyping-first mindset to rapidly build, evaluate critically, and scale innovative AI solutions in an ever-evolving tooling landscape.Architect and orchestrate multi-agent workflows (orchestrator/specialist patterns) utilizing modern frameworks (LangGraph, CrewAI, AutoGen, PydanticAI, Google ADK) and protocol Agent-to-Agent (A2A).Design and optimize scalable LLM systems, sophisticated Retrieval-Augmented Generation (RAG) techniques, and Graph RAG architectures.Manage complex context windows, system prompts, and agent skills; develop and deploy Model Context Protocol (MCP) servers for seamless enterprise data integration.Champion software engineering best practices (TDD, CI/CD, comprehensive testing) to transition bold prototypes into highly robust, enterprise-grade products.Expertise and Skills You Bring5+ years in software and AI/ML engineering, with proficiency in at least two modern languages (Python, Node, Go, etc.).Deep knowledge of ML libraries (PyTorch, TensorFlow).Hands‑on experience with LangChain, LangGraph, PydanticAI, AutoGen, or similar tools.Proven experience implementing scalable vector databases (Pinecone, pgvector, Weaviate, FAISS) and strong knowledge of cloud AI services (AWS, Azure, GCP).Deep understanding of context window management, MCP server development, prompt engineering, and fine‑tuning methodologies.Bonus Skills & Preferred QualificationsExperience with prompt engineering evaluations (evals, red‑teaming).Familiarity with LLMOps tools (LangSmith, Weights & Biases, MLflow) and enterprise‑scale AI monitoring.Deep understanding of AI safety, alignment, and responsible AI practices.Active contributions to the open‑source AI/ML community.Additional SkillsCloud ArchitecturesCross Domain KnowledgeDesign ThinkingDevelopment FundamentalsDevOpsDistributed ComputingMicroservices FluencyFull Stack DevelopmentRelease ManagementSecurity-First MindsetUser Experience (UX)What We Can Offer YouHealth & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.Personal & Professional Development: We invest in your career because the better you are, the better we all are. Programs are tailored to help you reach any career goal.Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness.Equal Employment OpportunityHPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. HPE is EEO Protected Veteran/Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
#J-18808-Ljbffr
