AI Engineer

Indicium AI; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Highly competitive salary package

Company bonus

Personal learning budget

Choice of working equipment

Job summary

A growing AI consultancy in the UK is seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems. The role focuses on integrating large language models with an emphasis on reliability and scalability. Candidates should possess hands-on experience with LLM APIs, solid Python proficiency, and a good understanding of cloud platforms. This position offers career growth in a collaborative environment and competitive salary, making it a great opportunity for ambitious professionals.

Responsibilities

• Design and implement production AI systems integrating LLMs and RAG pipelines.
• Create evaluation frameworks to measure system performance.
• Build and maintain production AI applications with clean code.
• Experience implementing retrieval systems and chunking strategies.
• Implement feedback loops to continuously improve system performance.

Skills

Experience with LLM APIs

Proficiency in Python

Strong data manipulation skills

Understanding of CI/CD

Experience with cloud platforms

Tools

AWS

GCP

Azure

Elasticsearch

Job description

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.

Overview

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 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.

Responsibilities

• 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

Required Skills and Experience

• 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

Nice to Haves

• 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 optimisation strategies
• Experience in specialised 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

Why Indicium AI

• Fast-growing start-up organisation with huge opportunity for career growth
• Highly competitive salary package along with company bonus
• A 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 expansion
• Pick your own Gear! Macbooks, PCs, Accessories!
• Drive your development with a personal learning budget