We are looking for an AI Engineer to join our team in Portugal. As a Software Engineer, you will be building new AI-powered features and improving our Digital Platform with intelligent capabilities. You will be working closely with your team to build better, smarter systems and participating in regular show and tells to promote your work. You will have the opportunity to work on interesting projects and have a real passion for problem-solving and are an active learner who gets excited by working collaboratively with those around you.
Requirements
- 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
- Performance & Reliability
- 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
Benefits
- 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
- Mental Health support: access to Spill app
- Meditation/Sleep support: Headspace or Calm app subscription
- Bonus (depending on Company performance and results)
- Company laptop
- Generous referral schemes
