AI Engineer

Oscar; Greater London; Hybrid; GBP 49,000 - 89,000; Full time

Job summary

Oscar in London is seeking an experienced AI Engineer to own end-to-end AI solutions, from concept to production, with strong NLP foundations. You will build scalable AI systems that users experience, focusing on reliable, production-ready implementations in a hybrid work setup.

The role requires 5+ years in AI/ML or software development, deep Python skills, and hands-on experience with LangChain, LLM APIs, and cloud services (Azure preferred).

Qualifications

• 5+ years in AI/ML engineering or software development with production AI deployment experience.
• Degree in Computer Science or equivalent, with strong AI/ML/NLP foundations.
• Strong Python skills, familiarity with Java/Kotlin, and solid API design experience.

Responsibilities

• Own AI solutions end-to-end, from concept to production and ongoing optimization.
• Architect LLM-powered applications, multi-agent workflows, and autonomous systems.
• Orchestrate LLMs through advanced prompt engineering and fine-tuning.
• Deploy and monitor AI services in production, tracking quality, hallucination rates, and decision accuracy.
• Build scalable, cost-effective infrastructure with automated evaluation and fallback mechanisms.
• Ensure security, compliance, and rapid iteration based on user feedback.

Skills

Python

Java/Kotlin

API design

Prompt engineering

LangChain

LangGraph

LLM APIs

CI/CD

Docker

Kubernetes

Azure

Vector DBs

OpenSearch

ElasticSearch

Security/compliance

Debugging

Collaboration

Learning mindset

Education

BSc in CS or equivalent

Tools

OpenAI API

Anthropic API

Job description

Salary: £49,000 - 89,000 per year

Requirements:

• 5+ years in AI/ML engineering or software development, with production AI deployment experience
• Degree in Computer Science or equivalent, with strong AI/ML/NLP foundations
• Strong Python skills, familiarity with Java/Kotlin, and solid API design experience
• Hands-on experience with LangChain, LangGraph, and LLM APIs such as OpenAI and Anthropic
• Skilled in prompt engineering and orchestrating AI agents/chatbots
• Familiarity with cloud AI services, with Azure preferred, as well as Docker/Kubernetes, CI/CD, and monitoring
• Strong debugging, collaboration, and continuous-learning mindset
• Experience with vector databases and RAG, such as OpenSearch and ElasticSearch, is nice to have

Responsibilities:

• Own AI solutions end-to-end, from concept to production and ongoing optimization
• Architect LLM-powered applications, multi-agent workflows, and autonomous systems
• Orchestrate LLMs through advanced prompt engineering and fine-tuning
• Deploy and monitor AI services in production, tracking quality, hallucination rates, and decision accuracy
• Build scalable, cost-effective infrastructure with automated evaluation and fallback mechanisms
• Ensure security, compliance, and rapid iteration based on user feedback

Technologies:

• AI
• AI Agents
• API
• OpenSearch
• Architect
• Azure
• CI/CD
• Cloud
• Docker
• ElasticSearch
• Fine-tuning
• Java
• Kotlin
• Kubernetes
• LLM
• Python
• RAG
• Security

More:

We are offering a hybrid AI Engineer role with a salary of 85,000-120,000. We build AI systems that users actually experience, focusing on autonomous, user-facing AI solutions that perform reliably at scale rather than just in a demo.