Senior AI Engineer at Boldspace

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, TypeScript, Node.js, LangChain, LangGraph, OpenAI, Supabase, Data Modelling, RAG, Prompt Engineering, CI/CD, Cloud Infrastructure, Observability, Collaboration, Full-Stack Development, Analytics

Industry

Advertising Services

Description

Senior AI Engineer (OpenAI, LangChain / LangGraph, TypeScript, Supabase) About Boldspace & BoldStream™ Boldspace is a 6-year-old full-service Brand & communications agency that has experienced year-over-year growth since its founding. Our seasoned agency-side co-founders felt there was a critical lack of industry transparency in data and measuring the performance of client work, so we launched BoldStream on day 1, our flagship data & analytics platform that helps brands measure and act on the impact of their communications in real time. We will now continue to invest heavily in AI-native capabilities: agentic workflows, retrieval-augmented insights, and intelligent automation across our client reporting and analytics stack. Position Overview: We’re looking for a Senior AI Engineer to own end-to-end delivery of AI-powered features across BoldLoop and related internal products. You’ll sit at the intersection of OpenAI’s latest agentic tooling, LangChain / LangGraph, TypeScript, and Supabase, building production-grade systems rather than prototypes. This role is hands-on and full-stack: from designing LLM-powered workflows and data models to shipping polished front-end experiences and observability for everything you release. AI & Agentic Product Development Design and implement agentic workflows using OpenAI (Responses API, AgentKit & Agent Builder) and LangChain / LangGraph for use cases like analytics copilots, automated reporting, insight generation and internal tools. Build and tune prompts, tools and orchestration logic to make agents reliable: handle tool-calling, multi-step reasoning, fallbacks, and guardrails. Architect and implement RAG pipelines (embeddings, vector stores, retrieval strategies, caching) using Supabase and other data sources to ground models in BoldLoop and client data. Full-Stack Engineering. Own full-stack delivery of AI features: Backend: TypeScript/Node or edge functions, Supabase (Postgres + vector store), API design, schema design, migrations and performance tuning. Frontend: Modern TypeScript front-ends (React / Next.js or similar) for analytics dashboards, workflows and internal tooling. Integrate OpenAI and other LLM providers in a way that is robust, observable, and cost-aware (tracing, token usage monitoring, rate limiting, retries). Work closely with data engineers / analysts to expose BoldLoop metrics, models and datasets through AI features that feel intuitive to non-technical users. Engineering Quality & Platform Foundations Champion testing, observability and reliability for AI features: unit tests, integration tests, synthetic evals for prompts, and health checks for agent workflows Contribute to and improve CI/CD pipelines, deployment strategies and cloud infrastructure supporting AI workloads. Use GitHub, Linear and AI-enhanced tooling (Cursor, Lovable, etc.) to move quickly while maintaining high standards. Collaboration & Leadership Translate business and product requirements into technical designs and implementation plans for AI features. Provide technical leadership within the AI / BoldLoop squad, mentoring engineers on LLM patterns, agentic architectures and best practices. Partner with Product, Data, Client Services and Strategy to define AI roadmaps that unlock measurable value for clients. Skills & Experience Essential 5+ years experience as a Full-Stack / Backend Engineer, with at least 2+ years building LLM-powered products in production. Strong TypeScript and JavaScript fundamentals; production experience with Node.js backends and modern front-end frameworks. Hands-on experience with LangChain and/or LangGraph, ideally including multi-agent or complex tool-using workflows. Proven experience integrating OpenAI APIs (chat, Responses, Agents SDK) into production systems. Solid experience with Supabase or similar (Postgres, auth, edge functions, vector search) and data modelling for analytics and content. Deep understanding of RAG, prompt engineering, evaluation, and safety/guardrail patterns for LLM applications. Comfortable with CI/CD, cloud infrastructure and observability for distributed systems. Nice to have Experience with additional AI frameworks (CrewAI, LangFlow, semantic search stacks, etc.). Exposure to analytics or martech platforms, especially where data storytelling and communication impact are key. Experience with AI-assisted developer tools (Cursor, Lovable) and low-code platforms where appropriate. What You’ll Bring Engineering rigour – a track record of shipping reliable systems, instrumenting them well, and improving them over time. AI product mindset – you think in terms of user journeys, failure modes and measurable impact, not just model calls. Systems thinking – you understand how agents, tools, data and UI fit together to deliver value end-to-end. Collaboration – clear communication, especially when explaining AI systems to non-technical stakeholders. Pensions: a 5% employer contribution. Private Healthcare: Vitality Holiday: unlimited holiday (including all UK public holidays) – we trust our staff to take the time they need and still excel in their jobs – and days off for birthdays and moving house are guaranteed! Very Flexible working Socials: team socials regularly, chosen by the team. Team retreats: time to get to know each other away from the office. Bonus: transparent bonus structure where you can receive a % of base salary based on personal and company performance. Supporting good causes: we contribute some of our outperformance to charitable causes which the team help choose. Wellness: time within working hours every week for those that want or need it. Monthly benefits budget: £50 per month, every month, to spend on whatever you want – from a home delivered vegetable box and discounted gym memberships, to mental health support and professional coaching. A CARBON NEUTRAL BUSINESS Boldspace measures its performance on profit, people and planet combined. From day one, we will offset your carbon footprint entirely. The cost of this is covered 100% by the company.

Responsibilities

The Senior AI Engineer will own the end-to-end delivery of AI-powered features across BoldLoop and related internal products. This includes designing workflows, building production-grade systems, and ensuring the reliability and observability of AI features.