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Senior Software Engineer
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Senior Software Engineer
High-Impact Senior Backend Engineer London | Bootstrapped Global Tech Start-Up "Mission: Build, scale, and architect the AI-first systems that power hundreds of billions in annual investments for the world’s premier financial and consulting firms."
About the Role
Join a highly profitable, self-funded start-up that grew revenue 10x last year. You’ll be part of a small core team designing the backbone of LLM-powered workflow tools used by some of the most elite firms in business.
This is a high-ownership opportunity to lead the construction of cutting-edge infrastructure, from AI-driven orchestration and vector search systems to powerful, end-to-end data pipelines. Your contributions don’t just scale products—they reshape the company’s technical future.
Key Responsibilities
Architecture & AI Infrastructure
- Design scalable, high-throughput backend systems for AI-driven applications, including:
- LLM-focused workflows (multi-agent routines, prompt orchestration)
- Vector databases & similarity search integrations
- Distributed computing & real-time processing for performance-critical paths
- Optimise systems for cost efficiency without compromising velocity
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Data Systems Automation
- Build seamless pipelines that stitch together:
- Model providers (e.g., LangChain, custom LLMs)
- Data stores (PostgreSQL, time-series DBs, et al.)
- Internal tooling/APIs into cohesive, performant architectures
- Reduce manual overhead by automating data lakeshare, versioning, and consumption
Culture & Teamship
- Drive major infrastructure decisions and engineering culture as a key contributor from day one
- Mentor growing team members and raise the bar on standards while executing at start-up speed
- Inspire a mindset of ottimality, latency minimisation, and re-usability in every system
About You
Experience
- End-to-end project ownership—from initial concept through production, deployment, and iteration
- Hands-on experience scaling systems under tight timelines, balancing empirical results with maintainability
Technical Stack
- Production-coder expertise in Python or TypeScript (both in-memory and cloud)
- Deep end user skills in PostgreSQL (performance tuning, schema design, transactions)
- Experience with ORM patterns (SQLAlchemy, Prisma, et al.)
- Bonus points for:
- LLM workflow design (e.g., LangChain, agent-based logic libraries)
- Serverless, Kubernetes, or stateless scales (AWS, GCP)
- Embedding+, search architectures (Milvus, Pinecone)
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Mindset & Practical Fit
- Thrives in unguided clarity—you improvise solutions when deadlines meet uncertainty
- Prefer sophisticated Python or scalable database-driven logic over vanilla generalism
- Can prioritise amongst 10x faster chatbot speeds, tighter latency bars, or tighter cost budgets
- Lucid technical communication (teing recommendations from panicked to polished)
- Bonus if you’ve:
- Built AI-specific platform services (e.g., integration layers for prompt Archiepfing, profession our agents)
- Worked with internal platform teams (devops, data science squads)
Perks & Offers
- Supportive founders who empower your expertise and let you ment immediately to results
- Flex wit infrastructure with the finals = of quiet, weekly hopcarps now nothing else
Apply if you want to* shift ahead—to play a defining crafted of the AI powering tomorrow’s consensus*.*
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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