C
Lead AI Engineer
Cpl
Dublin · Hybrid Full-time Senior 6d ago
About the role
Location: Ireland (Hybrid)
Type: Permanent
Overview
We are seeking a Senior Lead AI Engineer to design and deliver advanced AI-driven platforms and agent-based systems. This role is ideal for someone who combines deep technical expertise with strong leadership capability and a passion for building scalable, production‑grade AI solutions.
Key Responsibilities
- Lead the design and development of enterprise‑scale AI and multi‑agent systems
- Architect robust, scalable, and fault‑tolerant AI platforms
- Implement AI safety, guardrails, and evaluation frameworks
- Drive best practices in AI engineering, prompt design, and system optimisation
- Build and optimise AI workflows, orchestration layers, and performance strategies
- Collaborate with cross‑functional teams to deliver end‑to‑end AI solutions
- Mentor engineers and provide technical leadership across AI initiatives
- Evaluate and integrate emerging AI technologies and frameworks
Required Experience
- 8–10+ years in software engineering, including 2+ years in AI/ML
- Strong expertise in Python and modern AI frameworks (e.g., agent‑based systems)
- Experience with:
- Prompt engineering and LLM optimisation
- Vector databases and semantic search
- Distributed systems and cloud‑native architectures
- Docker, Kubernetes, and Infrastructure as Code
- Proven track record of leading complex technical projects or teams
- Strong understanding of responsible AI, bias, and governance
Nice to Have
- Experience with agent orchestration frameworks
- Exposure to Model Context Protocol (MCP) or similar
- Background in AI experimentation and applied research
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, or related field
What’s on Offer
- Competitive salary + bonus
- Hybrid working model
- Strong focus on learning, development, and career progression
- Comprehensive benefits package (healthcare, pension, etc.)
Eligibility
- Must have the right to work in Ireland
Skills
DockerInfrastructure as CodeKubernetesLLM optimisationPythonVector databases
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