Autonomous AI Solutions Architect (Hybrid)

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

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).