Location: Portugal
Department: Engineering
Employment: Full time
About YLD:
Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto.
About the role:
As a Software Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.
About you:
A YLD Software Engineering Consultant is a highly skilled developer who exemplifies the highest standard in software engineering and enjoys sharing their knowledge and experience with others.
You’ll have the opportunity to build and deliver software within some interesting projects in terms of the product and methodology. We work in an Agile environment (Scrum) with a test-first mindset (actually, writing code without tests should be unthinkable). We are also big advocates of pair programming and nothing is released until we have a code review.
You have a real passion for problem-solving and are an active learner who gets excited by working collaboratively with those around you.
Your day-to-day responsibilities will look like this:
- Crafting excellent products! As an AI Engineer, you will be building new AI-powered features that meet the needs of our clients' customers, as well as improving their Digital Platform with intelligent capabilities;
- Continuously delivering changes to products including AI model integrations, prompt optimisations, and system improvements, as we push for a full CI/CD model;
- Working closely with your team, regularly collaborating on both traditional engineering and AI initiatives, to continually push yourselves to build better, smarter systems;
- Participating in regular show and tells to promote your work — from AI experiments to production deployments — to both your department and the wider company;
- Joining our clients’ internal events, including meeting external speakers, going to quiz nights, etc.
You’ll have the following skills and experience:
Core Programming & AI
- 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.)
Infrastructure & DevOps
- 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)
Data & Databases
- 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
Frontend & APIs
- 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
You’ll be:
- 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.
As well as the chance to work with a forward-thinking, ethical, and fun group of people, you’ll also get:
- 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
Our typical Recruitment Process looks like this:
- 1st Interview with someone from the Talent team (30/45 mins)
- Technical Interview with our Senior Developers (1h30)
We live and breathe our values, and know you will too:
- 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.