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Senior AI Platform Engineer

9finLondonData & AI
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Salary
Not listed
Job type
Full-time
Posted
6 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Senior AI Platform Engineer position at 9fin in London offers an exciting opportunity to design and build the core infrastructure powering the next generation of financial technology. This role suits an experienced software professional eager to shape the architectural direction of generative and agentic artificial intelligence applications from the ground up rather than maintaining legacy systems.

Key Responsibilities

Design, build, and continuously evolve the enterprise artificial intelligence platform utilized across 9fin.
Develop scalable artificial intelligence services that support agentic systems, Retrieval-Augmented Generation, vector searches, embeddings, model serving, and automation.
Create orchestration layers that translate structured and unstructured enterprise information into reusable technological capabilities.
Build production-ready applications leveraging modern large language model frameworks and orchestration utilities.
Design reusable platform components for prompt management, artificial intelligence gateways, and evaluation services.
Construct application programming interfaces, software development kits, and developer tools to foster self-service development.
Design secure and scalable deployment pipelines for artificial intelligence models and applications.
Implement monitoring, tracing, evaluation, cost optimization, and production quality measurement for observability.
Collaborate closely with peers and engineering leadership to define robust platform architecture and standards.
Establish engineering best practices centered around testing, governance, and responsible artificial intelligence deployment.

Requirements

Minimum of five years of software engineering experience, including at least two years focused on artificial intelligence or machine learning platforms and generative applications.
Hands-on background building applications powered by large language models, Model Context Protocol, and Retrieval-Augmented Generation solutions.
Strong backend engineering proficiency using Python or TypeScript, with experience designing REST application programming interfaces and event-driven architectures.
Cloud-native development expertise utilizing Docker, Kubernetes, continuous integration and deployment pipelines, and containerized deployments.
Familiarity with operational challenges like latency, reliability, hallucination monitoring, and model quality evaluation.
Strong collaboration skills with the ability to influence technical direction in a fast-paced environment.

Nice to Have

Experience with artificial intelligence gateways and model routing.
Familiarity with prompt management platforms and evaluation frameworks.
Background using LangGraph, LangChain, LlamaIndex, DSPy, CrewAI, or comparable orchestration frameworks.
Knowledge of vector databases, semantic retrieval, knowledge graphs, or document understanding systems.
Prior involvement in constructing internal platforms utilized by multiple engineering teams.

Skills and Tools

Python
TypeScript
AWS (including Amazon Bedrock and AgentCore)
Kubernetes
Docker
Large Language Models (LLMs)
LangChain
Retrieval-Augmented Generation (RAG)
Vector Databases
Arize Phoenix, Langfuse, or Langsmith

Salary and Benefits

Competitive salary benchmarked at the top end of the market alongside equity options.
Pension scheme with minimum employee contributions of 4% and matching employer contributions up to 7%.
Private medical insurance, group life assurance, and paid sick leave with income protection.
Season ticket loan and cycle-to-work schemes.
Twenty-five days of annual holiday plus local public holidays with the option to exchange them.
Hybrid working model with the option to work abroad for up to three months each year.
One month of paid sabbatical leave after completing five years of service.
Enhanced parental leave alongside a professional learning and development budget.
Annual artificial intelligence experimentation budget of £800 to trial new tools.
Regular quarterly socials alongside annual summer and winter company events.

About the Company

9fin serves as the artificial intelligence platform powering global debt markets, which represent the world’s largest asset class. By replacing fragmented data, manual workflows, and PDF-based processes with a centralized platform, the company delivers proprietary credit data and deep analysis to hundreds of blue-chip institutions worldwide. These clients include global banks, asset managers, private equity firms, law firms, and advisors. The organization experiences rapid scaling and global expansion driven by strong product-market fit.

How to Apply

Interested candidates should visit the official company careers page to submit their application for this position.

Skills and tech stack

Questions candidates ask

What is the location of the Senior AI Platform Engineer role?

The position is based in London with a hybrid working model available.

How many years of experience are required for this position?

Applicants must have at least 5 years of software engineering experience, including 2+ years building artificial intelligence or machine learning platforms.

What core programming languages are required?

Candidates need strong backend production experience using Python and/or TypeScript.

What kind of benefits does the company offer?

Benefits include a competitive salary, equity, matched pension contributions, private medical insurance, hybrid working, an artificial intelligence experimentation budget, and professional development funds.

How should I apply for the job?

You should apply directly on the official company careers page.

Ready to apply?

The application is on the official 9fin careers page.

Apply on company site