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For Companies At a Glance
- Tasks: Build innovative AI software and shape the future of deal-making.
- Company: Exciting AI start-up with a £1.7M pre-seed investment.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in AI development.
- Qualifications: 5+ years in full-stack development with strong AI and database skills.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Full Stack AI Software Engineer – Full Remote UK. Base pay range discussed with recruiter. Applicants must be based in the UK with full right to work.
This role requires a software engineer with experience in implementing RAG pipelines and Vector Search (and hybrid AI searches, preferably).
The client is an AI-focused start-up backed by a £1.7M pre-seed investment. They aim to streamline the deal-making process, with founders who have firsthand experience of the challenges in deal processes. Their stack spans backend, frontend, data and crucially AI. This is an opportunity to shape the technical vision of the business and contribute to the product from an early stage.
What you\’ll work on:
- Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale.
- RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases.
- LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation.
- Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics.
- Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible.
- Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery.
- Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation.
- Collaboration: Partner with product and leadership teams, mentor peers, and help shape technical direction.
- Innovation: Explore and recommend new technologies, frameworks, and methods for both full-stack and AI development.
Requirements
- A motivated, hands-on engineer with an ownership mindset, strong communication skills, and a collaborative approach.
- 5+ years’ experience in full-stack development.
- Strong background in RAG systems, vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods.
- Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques.
- Proficient in Python (FastAPI) and React/Next.js.
- Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.).
- Exposure to LLMs, embeddings, and vector search APIs.
- Strong understanding of data engineering, schema design, ETL, and optimisation.
- Proficiency with cloud (AWS preferred) and containerised deployments (Docker, ECS).
- Knowledge of secure coding practices and managing sensitive data.
- Excellent communication, problem-solving, and leadership skills.
Nice to have
- Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs.
- Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency.
- Background in B2B data products or fintech.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Industries IT Services and IT Consulting
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Full Stack AI Software Engineer - Full Remote UK employer: Ada Meher
Contact Detail:
Ada Meher Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack AI Software Engineer - Full Remote UK
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving RAG pipelines and vector search. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to full-stack development and AI. Practice coding challenges and be ready to discuss your past experiences with RAG systems and data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Full Stack AI Software Engineer - Full Remote UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with RAG pipelines, vector databases, and any relevant AI projects. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Don’t forget to mention your collaborative spirit and ownership mindset!
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing practical examples of your work, especially those involving Python, FastAPI, or React/Next.js. It gives us a glimpse into your problem-solving skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at Ada Meher
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, and React/Next.js. Brush up on your knowledge of RAG systems and vector databases, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, particularly around data pipelines and AI integration. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Demonstrate Collaboration
This role requires a collaborative approach, so be ready to share examples of how you've worked with product teams or mentored peers. Highlight your communication skills and how they’ve helped you succeed in team environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision, the tech stack, and the challenges they face. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
