AI Engineers
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Before you apply
LocationLondon
Typefull-time
SenioritySenior
DepartmentDelivery
Company size501–1,000 people
PostedFeb 4, 2026 · 9mo ago
Verified live14h ago
May no longer be actively hiring
Posted by the company on Feb 4, 202675% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
Strong Python (or other modern programming language) proficiency with production API/service development experience
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 experimentation and evaluation
Experience with AI-assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot
Experience with fine-tuning LLMs for domain-specific applications
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
Skills
Python
AWS
GCP
Azure
pandas
SQL
Elasticsearch
LangSmith
Weights & Biases
Claude Code
OpenAI Codex
Github Copilot
Benefits
Personal learning budget
Company bonus
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.
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, optimizing 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
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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
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Build and maintain production-grade AI applications with clean code, appropriate error handling, APIs, and data pipelines
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Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE)
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Implement feedback loops and observability to continuously improve system performance
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Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations
Required Skills and Experience
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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 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
Why Indicium AI
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Fast-growing start-up organisation with huge opportunity for career growth
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Highly competitive salary package along with company bonus
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A hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark on the business from day one!
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Financially backed business meaning security and support for new initiatives and global market expansion
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Pick your own Gear! Macbooks, PCs, Accessories!
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Drive your development with a personal learning budget