Full Stack AI Engineer

New Today

Join to apply for the Full Stack AI Engineer role at TipTopJob

Location: UK remote

Type: Full-time

Overview

Handshaik is on a mission to transform how deals get done. We are building the AI platform of choice for modern dealmakers, supported by a GBP 1.7m pre-seed raise. We are a fast-growing startup 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.

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 and 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 and 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.

Requirements

  • 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 with RAG systems, vector databases (pgvector/FAISS/Weaviate/ES k-NN), embeddings, and hybrid search (BM25 + vectors).
  • Strong grasp of chunking strategies, metadata, indexing, recall/precision trade-offs, reranking, and evaluation (ground-truth sets, offline/online metrics).
  • Strong proficiency in Python (FastAPI) and React/Next.js.
  • Solid experience with SQL and NoSQL databases (e.g., Postgres, DynamoDB).
  • Experience working with AI/ML models and APIs (LLMs, embeddings, vector search).
  • Strong understanding of data engineering practices (ETL, schema design, performance tuning).
  • Proficiency in cloud environments (AWS preferred) and containerised deployments (Docker, ECS).
  • Strong grasp of secure coding practices and 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 resume or application as requested by the posting.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Advertising Services

Referrals increase your chances of interviewing at TipTopJob by 2x

#J-18808-Ljbffr
Location:
City Of London, England, United Kingdom
Salary:
£80,000 - £100,000
Job Type:
FullTime
Category:
IT & Technology

We found some similar jobs based on your search