Artificial Intelligence Engineer

Accelero
Newcastle upon Tyne, Tyne and Wear
10 months ago
Applications closed

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Artificial Intelligence Security Specialist EMEA SVP - Citi

eFinancialCareers London
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Posted
27 Dec 2025 (10 months ago)

Full-Stack AI Engineer

Salary: £50,000 £70,000

Location: Fully remote


We're looking for an experienced full-stack developer with AI expertise to design and deploy end-to-end intelligent systems. You'll own features from UI to model deployment and develop solutions that deliver AI capabilities to end users in AWS environments.


This role is perfect for someone with expertise in Open-source, API development, fine-tuning LLMs, and integrating AI into scalable applications. If you thrive in an AI-driven development environment, enjoy working on cutting-edge retrieval models, and have a passion for optimizing LLM performance, we want to hear from you.


What You'll Do

  • Design and implement full-stack AI-powered applications from frontend to model serving
  • Build intuitive user interfaces
  • Develop scalable backend systems using Python and Go for model inference, data pipelines, and API services
  • Develop sophisticated prompt engineering strategies for LLM-based features, including few-shot learning, chain-of-thought reasoning, and retrieval-augmented generation
  • Optimize models for specific use cases and performance requirements
  • Design and optimize database schemas for relational database
  • Collaborate with stakeholders to translate business requirements into technical solutions


What We're Looking For

  • 2+ years of professional full-stack development experience with AI/ML systems
  • Strong engineering skills across frontend and backend technologies
  • Proficiency with modern frontend frameworks (React, Vue, Angular) and TypeScript
  • Backend experience with Python, including API design (REST)
  • Hands-on experience deploying LLMs, transformers, or other neural networks
  • Proven experience with prompt engineering techniques and LLM optimization
  • Experience with ML frameworks (PyTorch/TensorFlow) and model serving
  • Proficiency with relational databases and AWS (PostgreSQL/MySQL)
  • AWS experience on basic services (ECS, S3, etc.)
  • Experience with containerization (Docker) and orchestration
  • Understanding of model evaluation metrics and experimental design


If interested, please apply with your latest CV. Sponsorship unfortunately, isn't available for this role.

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If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.