At a Glance
- Tasks: Develop innovative AI solutions and shape the future of our platform.
- Company: Join a fast-growing startup on a mission to transform deal-making.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Dynamic team culture with excellent career advancement opportunities.
- Why this job: Make a real impact by solving complex problems in a collaborative environment.
- Qualifications: 5+ years in full-stack development with strong skills in Python and React.
The predicted salary is between 48000 - 84000 £ per year.
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
Full Stack AI Engineer in City of London employer: TipTopJob
At Handshaik, we pride ourselves on being a dynamic and innovative startup that empowers our employees to take ownership of their work and contribute meaningfully to our mission of transforming deal-making through AI. Our remote UK-based team enjoys a collaborative work culture that fosters creativity and growth, with ample opportunities for professional development and the chance to shape cutting-edge technology from the ground up. Join us to be part of a fast-paced environment where your ideas can directly impact the future of our product and the company.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 related to AI and full-stack development. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Handshaik. Don’t miss out!
We think you need these skills to ace Full Stack AI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Full Stack AI Engineer role. Highlight your expertise in Python, React, and any relevant AI/ML projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background makes you a perfect fit. Share specific examples of your past work that demonstrate your problem-solving skills and entrepreneurial mindset. We love a good story!
Showcase Your Projects:If you've got a portfolio or GitHub with projects related to full-stack development or AI, make sure to include it! We’re keen to see your hands-on experience and how you tackle complex problems. It’s a great way to stand out from the crowd.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Don’t miss out on this opportunity to join our team!
How to prepare for a job interview at TipTopJob
✨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 Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in full-stack development. Highlight your experience with data pipelines and AI/ML models, and be ready to explain how you approached challenges and what solutions you implemented.
✨Demonstrate Collaboration
Since this role involves working closely with product teams and mentoring other engineers, be prepared to share experiences that showcase your teamwork and communication skills. Discuss how you’ve contributed to technical strategy and fostered a collaborative environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s mission and future. Inquire about their approach to innovation in AI development or how they envision the evolution of their platform. This shows you’re not just looking for a job, but are genuinely interested in contributing to their vision.
