Full Stack AI Engineer

Equals One Ltd; Greater London; Remote; GBP 70,000 - 90,000; Full time

Job summary

A dynamic startup is seeking a Full Stack AI Engineer to develop and integrate AI solutions that solve customer problems. This role involves the development of robust backend APIs, advanced data pipelines, and user-friendly interfaces, requiring strong full-stack expertise and cloud knowledge. The ideal candidate will have over 5 years of experience in full-stack development and a passion for innovation. This position offers the flexibility of remote work.

Qualifications

• 5+ years of professional experience in full-stack development.
• Hands-on experience with RAG systems, vector databases, embeddings, and hybrid search.
• Strong grasp of chunking strategies, recall/precision trade-offs, and evaluation metrics.

Responsibilities

• Build reliable, secure backend APIs that power AI features.
• Design and implement retrieval pipelines.
• Integrate AI models and manage complex data pipelines.
• Develop accessible front-end UIs for AI features.

Skills

Full-stack development

Python (FastAPI)

React/Next.js

Factorized retrieval systems

SQL and NoSQL databases

Data engineering practices

Cloud environments (AWS)

Secure coding practices

Communication skills

Tools

Postgres

DynamoDB

Docker

AWS

Job description

Full Stack AI Engineer

Location:UK remote

Type:Full-time

About us

Handshaik is on a mission to transform how deals get done.Already trusted by leading industry organisations and fuelled by a £1.7m pre-seed raise, we’re building the AI platform of choice for modern dealmakers.

We’re a fast-growing start-up where ideas move quickly from concept to product.Our technology spans backend, frontend, data, and AI, giving our team real scope to shape the future of the product and the company itself.If you’re excited by solving complex problems end-to-end, working in a collaborative environment, and having a tangible impact, you’ll feel at home here.

The role

As a Full Stack AI Engineer, you will work within the development team to help shape the technical vision.This is a hands-on role that requires deep technical expertise, entrepreneurial drive, and the ability to create a scalable solution, from prototype to production.You’ll have the opportunity to build the product from the early stages, solving real customer problems, and playing a key role in the company’s journey towards achieving its business milestones.

Responsibilities (including but not limited to):

• Backend APIs (Python/FastAPI):Build reliable, secure services that power AI features and data retrieval at scale.
• RAG & vector search:Design, implement and iterate retrieval pipelines (chunking, embeddings, hybrid search, ranking, feedback loops).Own pgvector/Vector DB schemas, latency, relevance and cost.
• LLM integration:Integrate OpenAI/Bedrock models, prompt/response orchestration, tool use, guardrails, and evaluation.
• Data pipelines:Ingest and transform structured/unstructured data; design efficient schemas (Postgres/NoSQL) to support retrieval and analytics.
• Frontend (React/Next.js):Ship fast, accessible UIs that expose AI features clearly (search, filters, explanations, citations).
• Architecture:Evolve a modular, scalable platform (ECS on AWS), with clear boundaries between ingestion, retrieval, reasoning and delivery.
• Quality & reliability:Testing (unit/integration/evals), CI/CD, observability (tracing/metrics for LLM and retrieval paths), and performance tuning.
• Collaboration:Work closely with Product and ELT; mentor engineers; contribute to technical strategy and research.
• Innovation:Research and recommend new tools, frameworks, and approaches for full-stack and AI development.

We’re looking for…

• A passionate individual that’s hardworking and dedicated, with an entrepreneurial/ownership mindset, strong communication skills and a team player
• 5+ years of professional experience in full-stack development.
• Hands-on experience withRAG systems,vector databases(pgvector/FAISS/Weaviate/ES k-NN),embeddings, andhybrid search(BM25 + vectors).
• Strong grasp ofchunking strategies, metadata, indexing, recall/precision trade-offs, reranking, andevaluation(ground-truth sets, offline/online metrics).
• Strong proficiency inPython(FastAPI) andReact/Next.js.
• Solid experience withSQL and NoSQL databases(e.g., Postgres, DynamoDB).
• Experience working withAI/ML models and APIs(LLMs, embeddings, vector search).
• Strong understanding ofdata engineering practices(ETL, schema design, performance tuning).
• Proficiency incloud environments(AWS preferred) and containerised deployments (Docker, ECS).
• Strong grasp ofsecure coding practicesand handling of sensitive data.
• Excellent communication, problem-solving, and leadership skills.

Nice to have

• Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs.
• LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards.
• Experience in B2B data products or fintech.

Get in touch!

If this role excites you and you believe you’re a strong fit, we’d love to hear from you.Please submit a short cover note along with your CV.

INDLS