Software Engineering Lead (AI)Location: Cork, Ireland (on-site) Type: Full-time, PermanentAbout the company A fast-growing, IDA-backed industrial technology company... Read more
Software Engineering Lead (AI)
Location: Cork, Ireland (on-site)
Type: Full-time, Permanent
About the company
A fast-growing, IDA-backed industrial technology company building out its engineering presence in Cork. The business operates at the forefront of emerging technology, with AI already shipping in production across its platform - not early-stage experimentation.
About the role
We're looking for a hands-on Software Engineering Lead to run our AI engineering function. This is a technical leadership role, not a purely managerial one - you'll still be writing code, running PoCs, and validating architecture, while setting technical direction, hiring the team, and raising the engineering bar across the group.
Responsibilities
Lead the technical direction of a high-impact AI engineering team, staying hands-onDesign and deliver cloud-native, container-first services built to scaleTake AI-enabled capabilities from early exploration through to secure, production deploymentsWrite high-quality Python code and define the engineering bar for maintainability and testingDrive good engineering practices across CI/CD, containerisation, Kubernetes, and cloud operationsPlay a central role in hiring and building the teamMentor and coach engineers through reviews, pairing, and technical feedbackRequirements
Strong professional software engineering background (typically 10+ years, though impact and evidence of delivery matter more than a specific number)Proven technical leadership - leading design discussions, mentoring, setting directionStrong Python engineering skills: OOP, typing, async programming, FastAPI preferredDemonstrated experience building REST APIs and service integrationsCloud experience on at least one hyperscaler (Azure preferred), with strong container experienceKubernetes experience strongly preferredExperience with CI/CD pipelines and modern DevOps practicesStrong testing discipline (PyTest) and code review habitsUnderstanding of AuthN/AuthZ fundamentals (OpenID/OAuth2)Nice to have
Experience building with Generative AI or Agentic AI frameworks (LangChain, LangGraph, CrewAI, Hugging Face)Familiarity with event-driven architectureAzure platform depth (Cosmos DB, serverless)Interest in modern AI concepts (transformers, attention, deep learning foundations)GCS is acting as an Employment Agency in relation to this vacancy.
Read lessSoftware Engineering Tech Lead - Python | Azure | AI / Agentic Systems Contract | London - Hybrid... Read more
Software Engineering Tech Lead - Python | Azure | AI / Agentic Systems
Contract | London - Hybrid 1-2 days a month in the office if required
We're looking for a hands-on Software Engineering Tech Lead to drive the design and delivery of modern, AI-enabled platforms. This is a high-impact role combining deep engineering expertise with technical leadership across Python, Azure, and next-gen agentic systems.
Key Responsibilities
Lead the design and delivery of scalable, production-grade software systemsStay hands-on with coding in Python, setting engineering standards and best practicesArchitect and build AI / agentic solutions (LLM orchestration, tool integration, RAG pipelines)Define and implement robust cloud-native solutions on AzureMentor engineers and provide technical direction across the teamOwn solution quality, performance, and maintainability in productionKey Requirements
Strong hands-on Python engineering background (essential)Proven Azure production experience (AKS, Functions, App Service or similar)Experience designing and building AI /agentic systems, including:LLM orchestrationTool usage / function callingRetrieval-Augmented Generation (RAG)Evaluation and optimisation of AI systemsExperience with microservices, APIs, and cloud-native architecturesStrong stakeholder communication and leadership capabilityDesirable
Experience with frameworks such as LangChain / LangGraphKnowledge of MLOps, CI/CD, and containerisation (Docker/Kubernetes)Exposure to platform engineering or internal developer platformsWhy Apply?
Opportunity to lead cutting-edge AI-powered engineering initiativesHigh level of ownership and influence on technical directionWork with modern cloud and AI-first architecturesPlease send across your CV for immediate consideration
GCS is acting as an Employment Business in relation to this vacancy.
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