AI Scientist

Seven Sigma Group; Greater London; Remote; GBP 100,000 - 150,000; Full time

Benefits offered by this job

Top-of-market compensation

Ownership of AI products from idea to‑

Direct access to latest AI tools and A

One-on-one coaching and mentorship

Fast-moving AI projects

Job summary

Seven Sigma Group is seeking an AI Engineer to design and deploy production AI systems, moving from concept to production with end-to-end architectures that scale for real users.

You will work with LLMs, RAG pipelines, AI agents and vector databases, writing clean, reliable code and owning the stack from prompts to monitoring in a remote-first, high-skill team.

Qualifications

• Engineer focused on practical AI applications.
• Familiar with LLMs, RAG, AI agents, vector databases, prompt engineering and latest API releases.
• Capable of taking a model from concept to production without hand-holding.
• Experience with OpenAI, Anthropic, Gemini and open-source models.
• Able to balance AI approaches (RAG, fine-tuning, prompts) pragmatically.

Responsibilities

• Design and build production AI systems that solve real problems.
• Implement RAG pipelines, multi-agent systems, and LLM-powered features.
• Optimize for cost, latency, and accuracy across AI services.
• Create robust evaluation frameworks for AI performance.
• Own the entire AI stack from prompt design to production deployment.
• Collaborate with design and product to identify AI value.
• Make architectural decisions about leveraging AI where appropriate.
• Stay ahead of new models, techniques, and best practices.
• Build internal tools and abstractions to accelerate AI development.
• Move fast, iterate daily, and write code that handles AI unpredictability gracefully.

Skills

AI engineering mindset

Production systems

LLMs & AI ecosystem

RAG pipelines

Agentic workflows

Prompt engineering

System design

Cost/latency optimization

Tools

LangChain

LlamaIndex

Hugging Face transformers

Vector databases

Pinecone

Weaviate

Qdrant

Python (FastAPI)

TypeScript

React

Next.js

PostgreSQL with pgvector

Job description

We do not hire often. Fewer than one in one hundred and thirty applicants make it through. But the ones who do tell us the same thing: this is the team they have been looking for.

At Seven Sigma, you will build AI-powered products from the ground up, not just implement models. You will architect intelligent systems, ship to production, and see your work transform how real users interact with technology. You will get technical feedback from top-tier engineers. You will be trusted, coached, and pushed. And you will be part of a small team that takes the work seriously and each other even more seriously.

This is not just a job. It is a place for builders who want to operate at their edge.

The AI Engineer We're Looking For

We are not looking for an AI scientist or pure ML researcher. We need an engineer who lives and breathes the practical application of AI.

You are:

• An engineer first who happens to be obsessed with AI's real-world potential
• Current with the entire AI ecosystem: LLMs, RAG systems, AI agents, vector databases, prompt engineering, and the latest API releases
• Someone who can go from "here's a new model" to "here's a production system" without hand-holding
• Experienced in building with OpenAI, Anthropic, Gemini, and open-source models
• Comfortable implementing everything from simple ChatGPT integrations to complex agentic workflows
• Able to evaluate trade-offs between different AI approaches (when to use RAG vs fine-tuning vs prompt engineering)
• Pragmatic about AI - you know when to use it and when not to

Beyond the technical:

• Write clean, scalable code and care about the why as much as the what
• Stay up to date with new AI releases because you're genuinely excited about them (you probably already tried the latest model before we ask about it)
• Think in systems and love the challenge of making AI work reliably at scale
• Have side projects showcasing creative AI applications
• Value clear communication and fast iteration over tickets and process
• Want to be part of a small team where your ideas actually shape what gets built

We also care deeply about who you are. We look for character. Humility. Curiosity. The ability to give and receive direct feedback. People who would rather be told the truth than be made to feel comfortable.

We reference a well-known SAS principle: You need to be excellent, but you also need to be someone the team would trust with their lives. We do not take that lightly.

What You Will DO

• Design and build production AI systems that solve real problems
• Implement RAG pipelines, multi-agent systems, and LLM-powered features
• Optimize for cost, latency, and accuracy across different AI services
• Create robust evaluation frameworks for AI performance
• Own the entire AI stack from prompt design to production deployment
• Work closely with design and product to identify where AI creates real value
• Make architectural decisions about when and how to leverage AI
• Stay ahead of the curve on new models, techniques, and best practices
• Build internal tools and abstractions to accelerate AI development
• Move fast, iterate daily, and write code that handles the unpredictability of AI gracefully

TECH STACK

We use the right tools for the right job. Our AI engineering stack includes:

AI/ML Core:

• LangChain, LlamaIndex for orchestration
• Hugging Face transformers and inference
• Vector databases (Pinecone, Weaviate, Qdrant)
• Custom evaluation and monitoring tools
• Python (FastAPI) for AI services
• TypeScript, React, Next.js for AI-powered interfaces
• PostgreSQL with pgvector
• Real-time streaming for AI responses

Dev and Product Tooling:

• Weights & Biases, LangSmith for AI observability
• Stripe, Clerk, SendGrid for core infrastructure

What We OFFER

• Top-of-market compensation and performance-based bonuses
• Real ownership of AI products from idea to production
• Direct access to the latest AI tools and APIs (no budget constraints on experimentation)
• One-on-one coaching and technical mentorship
• Fast-moving projects at the cutting edge of AI application
• Deep involvement with senior engineers and founders
• Remote-first team with flexibility and autonomy
• A culture of honest feedback and constant growth
• Investment in your personal and professional development
• The chance to shape how a growing company leverages AI