HybridApproximately two to three days in the London office per week.
Software EngineeringAI Application Engineering
About the job
Requirements
Hands-on experience building agents, workflows, or automations, ideally in a company environment.
Comfort with Python and scripting, including wiring systems together through REST APIs, webhooks, authentication, and permissions.
Direct experience with large language model APIs such as OpenAI or Anthropic, including prompts, tool use, and agent design.
Hands-on experience with AWS or Azure, including deploying serverless functions, using managed artificial intelligence services, and basic storage and authentication.
Working knowledge of workflow automation platforms such as n8n or Make.
Enough front-end experience with HTML, React, CSS/Tailwind, or similar technologies to build a usable interface.
Working knowledge of SQL and relational databases such as PostgreSQL or SQL Server, including querying, structuring, and connecting data sources.
Experience with authentication and access-management patterns such as OAuth/OIDC, Auth0, or Microsoft Entra ID.
Experience using Git/GitHub and maintaining good repository hygiene.
Strong communication skills, especially when working with non-technical teams.
Responsibilities
Build and ship custom internal artificial intelligence tools, agents, and automations used by the agencies day to day.
Automate reporting, monitoring, and workflow tasks across the group.
Prototype and build minimum viable products for client-facing artificial intelligence products alongside the artificial intelligence team.
Work with internal teams and, where appropriate, clients to embed artificial intelligence within communications workflows and functions.
Scope use cases with stakeholders across the agencies and translate them into working solutions.
Work directly with large language model APIs from OpenAI and Anthropic and managed artificial intelligence services on AWS and Azure.
Deploy serverless functions and connect APIs, data sources, authentication, and lightweight front ends.
Use workflow automation platforms such as n8n and Make for tasks that do not require code.
Maintain and improve tools already shipped and tools in development.
Work with Group IT to operate within approved platforms and security standards.
Desired Qualifications
Recent graduate status with a degree in Computer Science, Data Science, Software Engineering, or a related field, ideally combined with relevant work or internship experience.
Exposure to both AWS and Azure.
Experience with retrieval-augmented generation patterns, vector stores such as Pinecone or pgvector, or Azure AI Search.
Experience using Airtable or a similar structured data layer.
Background in marketing services, public relations, or communications.
Experience working with a Group IT or governance function.
Experience working directly with clients or embedded teams in a forward-deployed or solutions-engineering capacity.
Location: London (Chancery Lane)
Working pattern: Full time, hybrid (circa 2/3 days in office)
About the role
Accordience Group is the parent company of four specialist communications agencies - Grayling, CDR, Red Consultancy, and Cirkle - operating across 30+ offices worldwide.
We are building custom AI tools across the group. We have strong demand and clear ideas; we need someone to turn them into working products that our agencies and clients can use.
This is a hands-on builder's role. You'll spend most of your time shipping - agents, internal tools, automations, reporting workflows, and the occasional client-facing MVP. You'll scope work with stakeholders, then own delivery end-to-end. The role may also involve working directly with clients to help embed AI within their communications functions.
What you'll do
Build and ship custom internal AI tools, agents, and automations that the agencies use day to day
Automate reporting, monitoring, and workflow tasks across the group
Prototype and build MVPs of client-facing AI products, working alongside the AI team
Work with internal teams and, where appropriate, clients to embed AI within communications workflows and functions
Scope use cases with stakeholders across the agencies and translate them into working solutions
Work directly with LLM APIs (OpenAI, Anthropic) and managed AI services on AWS and Azure
Deploy serverless functions, wire up APIs, data sources, auth, and light front-ends around what you build
Use workflow automation platforms (n8n, Make) for the jobs that don't need code
Maintain and improve the tools you ship - and the ones already in flight
Work with Group IT to stay inside approved platforms and security standards
What we're looking for
You've shaped real things, you can show us what they do, and you can explain why you made the choices you made.
We’re also open to recent graduates with a degree in Computer Science, Data Science, Software Engineering or a related field, ideally with some relevant work experience or internship experience.
You'll have:
Hands-on experience building agents, workflows, or automations - ideally inside a company rather than just side projects
Comfort with Python and scripting, and the ability to wire things together via REST APIs, webhooks, auth, and permissions
Direct experience with LLM APIs (OpenAI, Anthropic, or similar) - prompts, tool use, agent design
Hands-on with at least one cloud (AWS or Azure): deploying serverless functions (Lambda / Azure Functions), using managed AI services (Bedrock, Azure OpenAI), basic storage and auth
Working knowledge of workflow automation platforms (n8n, Make, or equivalent)
Enough front-end (HTML, React, CSS/Tailwind, or similar) to build a usable interface around what you've built
Working knowledge of SQL and relational databases (e.g. PostgreSQL, T-SQL / SQL Server, or similar), including enough to query, structure, and connect data sources
Experience with authentication and access management patterns (e.g. OAuth/OIDC; Auth0, Microsoft Entra ID, or equivalent)
Git/GitHub and good repo hygiene
A pragmatic, ship-it mindset - you'd rather get a v1 in front of users than perfect a v0 in private
Strong communication skills, especially with non-technical teams
Useful but not essential:
Multi-cloud exposure (AWS and Azure)
Retrieval / RAG patterns - vector stores (Pinecone, pgvector), Azure AI Search, or similar
Airtable or similar as a structured data layer
Background in marketing services, PR, or communications
Experience working with a Group IT or governance function
Experience working directly with clients or embedded teams in a forward-deployed / solutions engineering capacity
How to apply
To apply, send us:
Your CV
A few lines on similar work you've done and what you took from it
A link or demo of something you have built OR a short take on how you would build this: weekly client coverage, pulled and summarised for sentiment and themes, into a shared doc every Monday morning