AI Engineer

• Proven strong experience with JavaScript, TypeScript, and Python
• Advanced GenAI/LLM expertise: RAG, embeddings, vector search, prompt engineering, evals, guardrails, caching, chaining, function calling, etc
• Fine-tuning expertise: LoRA/QLoRA, instruction tuning, RLHF, domain adaptation, and custom model training
• Agentic architecture design: multi-agent systems, tool orchestration, planning/reasoning frameworks, memory systems, and agent coordination patterns
• Eval systems: automated evals, human feedback loops, benchmarking, A/B testing, safety testing, hallucination detection, and performance metrics
• Experience with LLM frameworks (LangChain, LlamaIndex, LiteLLM, CrewAI, Mastra, etc) and API integrations (OpenAI, Anthropic, etc.)

• CI/CD pipelines and IaC tools (Terraform, CloudFormation, CDK)
• Cloud platforms (AWS, Azure, GCP) for GenAI workloads and API management
• Containerisation and orchestration (Docker, Kubernetes) for AI applications
• LLM hosting and inference optimisation (vLLM, TGI, local deployment)

• Vector databases (Pinecone, Weaviate, Chroma, Qdrant) and traditional databases (PostgreSQL, Neo4j)
• Data pipeline design for RAG and knowledge ingestion
• Real-time data streaming and processing
• Document processing and embedding generation workflows

• React or modern UI frameworks
• API design for LLM services and conversational interfaces
• Multiple protocols (HTTP, GraphQL, gRPC, WebSockets, MCP)
• Real-time chat and streaming response handling

• Building high-performance, scalable AI applications
• LLM cost optimisation, token management, and caching strategies
• Performance monitoring, observability, and debugging production AI systems
• Comprehensive testing: unit, integration, AI behaviour, security, accessibility

• Self-motivated, proactive and always looking for ways to improve and develop yourself;
• A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
• Detail oriented;
• Used to working in a team-oriented, collaborative environment;
• Comfortable with experimentation, iteration, and managing uncertainty in AI systems;
• Analytical and problem-solving oriented;
• Ethical thinker who considers the broader implications of AI implementations;
• A genuine believer in diversity and fairness.

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• 25 days annual holiday (excluding Public Holidays)
• €2000 annual allowance for Training/Conferences
• €300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

• 1st Interview with someone from the Talent team (30/45 mins)
• Technical Interview with our Senior Developers (1h30)

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. We also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.