Software Developer Gen AI Jobs

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Developer Experience and Engineering Operations Lead

Dublin, Dublin

Data Engineering

Permanent

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Our client, a global AI and data-driven organization, are hiring a Developer Experience and Engineering Operations Lead to join their growing team in Dublin, Ireland. The successful candidate will help improve how engineering teams work by making software delivery faster, more consistent and less complex across global function by removing friction across the delivery lifecycle and enabling secure, high-quality and scalable software delivery at pace.

Responsibilities
- Own and deliver the Developer Experience and Engineering Operations roadmap, improving how engineers build, test, release and operate software.
- Identify and address friction points across the software development life-cycle using data, feedback and engineering insight.
- Design and implement pragmatic engineering standards, golden paths, reusable templates and delivery playbooks.
- Drive responsible adoption of AI-assisted development, including coding assistants and workflow automation.
- Define clear guardrails for AI usage, including prompt patterns, quality expectations and security boundaries.
- Promote adoption of internal AI platform capabilities, enabling governed reuse of AI-enabled solutions.
- Improve engineering operations across onboarding, documentation, knowledge sharing and operating cadences.
- Enhance CI/CD pipelines, observability, environment management, release processes and delivery transparency.
- Partner with Architecture, Platform, Cloud, Security and Product Engineering teams to improve end-to-end delivery capability.
Skillset
- Strong background in software engineering, DevOps, SRE, platform engineering or engineering operations.
- Proven track record of improving developer productivity across multiple teams or large organisations.
- Deep understanding of modern SDLC practices, including cloud-native development, CI/CD, APIs, observability and automation.
- Experience defining engineering standards, golden paths or reusable playbooks.
- Familiarity with modern engineering toolchains such as GitHub/GitLab, CI/CD platforms, IaC, containers, developer portals and AI tools.
- Strong stakeholder management and influence across engineering, architecture, security and product teams.
- Experience working with globally distributed engineering teams.
- Hands-on experience with AI-assisted development, including LLMs, prompt engineering and agentic workflows is a plus.
- Cloud platform experience with AWS, Azure or GCP is an advantage.
Benefits
- Salary: €112k - €128k.
- Bonus structure.
- Private healthcare, life assurance and income protection.
- Strong pension scheme.
** Please Note** Candidates must already be eligible to work in the Republic of Ireland.
Senior Engineer, Applied AI

Dublin

Data Science

Contract

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Our client, a growing Digital Transformation Consulting organisation, is hiring a hands-on Senior Applied AI Engineer to join the team in Dublin, Ireland on a contract basis. The successful candidate will design, build and scale advanced Generative and Agentic AI systems, contributing to the development of production-ready agent workflows, sophisticated retrieval pipelines, robust evaluation frameworks and scalable backend services.

Responsibilities
- Design, build and operate end-to-end production-grade AI agent systems.
- Develop stateful agent workflows with checkpointing, retries and human-in-the-loop controls.
- Architect intelligent agents with planning, tool use, memory and escalation strategies.
- Implement advanced retrieval pipelines, including hybrid search, reranking and context construction.
- Build robust evaluation frameworks with datasets, regression testing and clear success metrics.
- Establish LLMOps / AgentOps practices, including observability across cost, latency, drift and failures.
- Optimise system performance across latency, cost and output quality (e.g. routing, caching, model selection).
- Develop scalable backend services using Python (e.g. FastAPI) and modern architectures.
- Deploy and maintain systems using Docker, Kubernetes and CI/CD pipelines.
- Translate business requirements into scalable, production-ready AI solutions.
Skillset
- Minimum of 4 years of experience in software engineering, applied machine learning or applied AI.
- Strong Python skills, with a solid grounding in modern engineering practices e.g. testing, code quality, version control.
- Demonstrated experience developing and deploying LLM-powered applications, including prompt design, evaluation and productionisation .
- Practical experience with agent frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI or Langfuse.
- Hands-on experience with retrieval systems and vector databases (e.g. Milvus, Pinecone, Weaviate, Chroma, FAISS).
- Good understanding of AI architecture patterns, including microservices, event-driven systems and multi-agent frameworks.
- Experience deploying applications on AWS, Azure or GCP using containerisation and CI/CD pipelines .
- Strong production mindset, with experience in monitoring, testing, governance and LLMOps practices.
- Exposure to developer copilots and rapid prototyping tools (e.g. Cursor, Windsurf, Replit, GitHub Copilot, Claude Code) is a plus.