Job Search and Career Advice Platform

Enable job alerts via email!

AI Engineer

TalentCo

Greater London

Hybrid

GBP 100,000 - 130,000

Full time

2 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading tech recruitment agency is seeking an experienced AI Engineer to join a PE-backed tech company in Greater London. The role involves architecting and implementing AI modules, developing scalable backend services, and fine-tuning LLMs for various enterprise applications. Candidates should have at least 2 years' experience building production applications, be proficient in Python and TypeScript, and have a strong understanding of AI-powered applications. This position offers a salary between £100k-£130k and flexible remote work options.

Benefits

Comprehensive benefits package
Remote work flexibility
Work from anywhere policy

Qualifications

  • 2+ years of hands-on experience building production applications as an AI Engineer or ML Engineer.
  • Experience deploying LLM-based applications, including knowledge of tokenization and prompt optimization.
  • Strong knowledge of scalable architectures.

Responsibilities

  • Architect and implement LLM and agentic modules for the platform.
  • Develop scalable backend services for multi-tenant execution of AI agents.
  • Fine-tune and evaluate LLMs for enterprise use cases.

Skills

Backend development using Python
Proficiency in TypeScript
Understanding of LLMs
Knowledge of cloud infrastructure (AWS, GCP, or Azure)
Experience with agentic workflows
Job description

TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire several high‑calibre AI Engineer into their UK HQ (just north of London), as they build a new conversational AI platform from the ground up.

These hires will be based predominantly from home, ideally spending 1 day per week in the office, but with plenty of flexibility to suit individual circumstances.

The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows.

As AI Engineer you will:
  • Architect and implement the LLM, agentic and RAG modules that power the platform’s low‑code environment.
  • Build primitives, abstractions and orchestration components that allow clients to construct robust agentic workflows with deterministic and probabilistic behaviours.
  • Develop scalable backend services for multi-tenant execution of AI agents, including concurrency management, task routing and resource control.
  • Fine tune and evaluate LLMs and SLMs for enterprise use cases such as knowledge automation, summarisation, classification, conversational agents and multi-step reasoning.
  • Deploy LLM-based applications and agentic workflows at scale, with practical awareness of compute cost modelling, latency trade‑offs, container orchestration and distributed systems patterns.
We want to hear from you if:
  • You have 2+ years of hands‑on experience building production applications, with at least 1 year as an AI Engineer or ML Engineer shipping AI products and features.
  • You're an expert when it comes to backend development using Python and you're proficient in modern web technologies, especially TypeScript.
  • You have an understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows or strong desire to build AI products from scratch.
  • Hands‑on experience building and deploying LLM-based applications, including knowledge of tokenisation, prompt optimisation, model selection and evaluation methods.
  • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
What do they offer?
  • Salary between £100k-£130k
  • Comprehensive benefits package
  • Maximum of 1 day a week in office, the rest based at home
  • Work from anywhere policy
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.