About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.OverviewWe'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 rather than model training or research. You'll work with cutting-edge LLM technologies, building advanced AI systems that solve complex real-world problems through multi-agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production-ready—handling failure modes, optimising agent collaboration, and ensuring consistent, reliable outputs at scale.You’ll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non-deterministic systems that users can trust.ResponsibilitiesDesign 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 reliabilityBuild and maintain production-grade AI applications with clean code, appropriate error handling, APIs, and data pipelinesExperience 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 performanceCraft effective prompts and optimize for latency, cost, and quality across different model providers and configurationsRequired Skills and ExperienceHands-on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modesPractical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineeringExperience building multi-step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where neededStrong 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 pipelinesSolid 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 systemsAbility to work with ambiguity and optimise non-deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffsNice to HavesExperience with AI-assisted coding using tools like Claude Code, OpenAI Codex, Github CopilotExperience with fine-tuning LLMs for domain-specific applications and knowledge of when fine-tuning is preferable to prompt engineering or RAGExperience with real-time streaming, multimodal models, or search technologies like ElasticsearchFamiliarity with model observability tools (LangSmith, Weights & Biases) and cost optimisation strategiesExperience in specialised verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practicesExperience with setting up tool calling agents, handoffs, and guardrailsWhy Indicium AI Fast-growing start-up organisation with huge opportunity for career growthHighly competitive salary package along with company bonusA hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark on the business from day one!Financially backed business meaning security and support for new initiatives and global market expansionPick your own Gear! Macbooks, PCs, Accessories!Drive your development with a personal learning budget