AI Engineer

We're seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications. You'll work with cutting-edge LLM technologies, building advanced AI systems that solve complex real-world problems.

• Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks
• Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability
• Build and maintain production-grade AI applications with clean code, appropriate error handling, APIs, and data pipelines
• Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE)
• Implement feedback loops and observability to continuously improve system performance
• Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations

• Hands-on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes
• Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering
• Experience building multi-step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed
• Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure)
• Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines
• Solid foundations and understanding of production-grade, cloud-native platform and infrastructure requirements, design, and implementation
• Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM-based systems
• Ability to work with ambiguity and optimise non-deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs

• Experience with AI-assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot
• Experience with fine-tuning LLMs for domain-specific applications and knowledge of when fine-tuning is preferable to prompt engineering or RAG
• Experience with real-time streaming, multimodal models, or search technologies like Elasticsearch
• Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies
• Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices
• Experience with setting up tool calling agents, handoffs, and guardrails

• Highly competitive salary package along with company bonus
• Pick your own Gear! Macbooks, PCs, Accessories
• Drive your development with a personal learning budget
• Holiday Entitlement - 25 days holiday plus bank holidays
• Learning & Development: 1.500€ training budget + 5 training days
• Company Bonus - Discretionary company and personal bonus paid quarterly
• Pension Scheme
• Choose Your Kit - Select from a range of laptops and accessories
• Social Events: meeting - Ups, Squad events, Summer/ Christmas events, etc

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.