TechTree

TechTree in London is seeking a Senior Backend Engineer to design and scale robust backend systems for an AI-enabled financial platform. You will build high performing services, optimize data pipelines, and ensure enterprise grade security and compliance while collaborating with ML engineers and product teams. You will mentor junior engineers, drive technical decisions, and help shape engineering culture as we scale to serve leading financial institutions worldwide from our London office.

TechTree in London is seeking a highly skilled Full-Stack Engineer with 5+ years of professional experience. You will design, develop, and maintain scalable web applications using React and Next.js, and collaborate with product and design teams to deliver features end-to-end. The role covers backend services, databases, cloud infrastructure, CI/CD pipelines, and mentoring junior developers to promote engineering best practices in a fast-moving, equity-backed environment.

5+ years of professional software engineering experience Proven experience with React and Next.js in production environments Solid understanding of relational and/or NoSQL databases Experience with Git and collaborative development workflows Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines Experience implementing background workers and task queues (Celery, RQ, etc.) Proficiency with Redis for caching, pub/sub, or job queues They are seeking a highly skilled Full-Stack Engineer with at least 5 years of professional experience to join their growing team. The ideal candidate has a strong background in building modern web applications, is fluent in React/Next.js, experienced with backend development (Python preferred), and has hands on exposure to infrastructure and DevOps practices. You will play a key role in designing, developing, and maintaining high quality, scalable, and secure systems across the stack - from frontend interfaces to backend APIs, databases, and deployment pipelines. Key Responsibilities - Design, develop, and maintain frontend applications using React and Next.js. - Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, but other languages/frameworks welcome). - Collaborate with founders, growth team, designers, and other engineers to deliver high impact features. - Ensure scalability, performance, and security across the stack. - Implement CI/CD pipelines, automated testing, and monitoring solutions. - Contribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure). - Mentor junior developers and promote engineering best practices. Competitive salary + equity Supportive and innovative work environment Opportunity to help shape and build a generational company About TechTree's client The client is an AI native workspace initially designed for investment banking, private equity, consultancies, and asset managers. This role will work alongside two well known founders who successfully sold their last two YC backed companies. The company has already raised double figures from Y Combinator and top tier venture firms. With strong product market fit and live production deployments at some of the world's largest and most prestigious institutions, the team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise.

7+ years of professional backend engineering experience Expert-level proficiency in Python and modern web frameworks Deep understanding of relational databases, especially PostgreSQL Experience with cloud platforms (Azure preferred; AWS or GCP acceptable) Bachelor's degree in Computer Science, Engineering, or equivalent practical experience As a Senior Backend Engineer at this organization, you'll be at the forefront of building and scaling the infrastructure that powers the product. You'll design and implement robust, high-performance backend systems that handle complex data pipelines, enable seamless AI model deployment, and ensure enterprise-grade security and compliance for our financial services clients. Working closely with machine learning engineers, product teams, and infrastructure specialists, you'll architect scalable solutions that process sensitive financial data with precision and reliability. This role offers the opportunity to tackle unique technical challenges at the intersection of AI and finance, where your work will directly impact how financial institutions leverage artificial intelligence to transform their operations. You'll drive technical decisions, mentor junior engineers, and help shape the engineering culture as we scale our platform to serve the world's leading financial organisations. Key Responsibilities Design, develop, and maintain scalable backend services and APIs that power the AI workspace platform Build and optimize data pipelines for processing large-scale financial datasets with high accuracy and performance Implement robust security measures and ensure compliance with financial industry regulations (SOC 2, GDPR, FCA requirements) Collaborate with ML engineers to productionize machine learning models and integrate them into backend systems Optimize database schemas and queries for high-throughput, low-latency operations across distributed systems Lead technical design reviews and mentor junior and mid-level engineers Monitor system performance, troubleshoot production issues, and implement solutions to improve reliability and uptime Contribute to engineering best practices, code quality standards, and technical documentation Reporting directly to the founders Equity About TechTree's client This organization is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. This organization raised a historic $75M Series A, in December - one of the largest fintech Series A rounds ever. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, the team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise.

Experience with startup or high growth environments Proven track record of owning infrastructure end-to-end Experience with SOC 2, ISO 27001, or GDPR compliance Strong skills in Python or Bash for automation They are seeking an experienced Senior Infrastructure Engineer to lead the design, implementation, and maintenance of their cloud systems as we scale. This role is ideal for someone who thrives on building robust, secure, and cost-efficient infrastructure that empowers engineering teams to deliver quickly without sacrificing reliability or compliance. You will be the driving force behind our DevOps, observability, and compliance readiness, ensuring our systems are audit-ready, highly available, and optimized for both performance and cost. Key Responsibilities Architect, implement, and maintain cloud infrastructure to support rapid product growth. Prepare infrastructure for SOC 2 / ISO 27001 audits, aligning with customer expectations. Build and maintain CI/CD pipelines for backend, frontend, and data services to enable rapid, reliable releases. Drive product-wide systems for logging, metrics, tracing, alerting and on-call processes. Monitor and control cloud costs, identifying opportunities for optimization without sacrificing performance. Act as the internal advocate for operational excellence. Key Requirements Technical stack: Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, Github actions. Observability: Experience implementing logging, metrics, and tracing frameworks. Security: Familiarity with best practices, secrets management, and security scanning tools. Networking: Solid understanding of VPCs, private networking, DNS, load balancers, VPNs, and firewalls. Databases & Storage: Experience with provisioning, scaling, and managing production-grade databases (PostgreSQL, MySQL, NoSQL) and blob storage. Scripting & Automation: Strong skills in Python or Bash for automation and tooling. 4-7 years of relevant experience, ideally including startup or high growth/high load environments. Proven track record of owning infrastructure end-to-end - from architecture through production support. Experience implementing reliability, security, and compliance measures ahead of scale-up or audit readiness. History of driving cost efficiency while enabling growth. Exposure to SOC 2, ISO 27001, or GDPR compliance processes. Benefits You will be reporting directly to the founders, who have two successful venture-backed exits under their belt. 100 - 175 K GBP base salary + equity. About TechTree's client This organization is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. This role will work alongside two well-known founders who successfully sold their last two YC-backed companies. This organization raised a historic $75M Series A, in December - one of the largest fintech Series A rounds ever. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, this organization's team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise. Research, Analysis and Execution - This organization connects to clients' entire digital universe-files, folders, emails, meetings, data vendors, company filings, internal databases, and more. It finds what matters, reasons through complexity, and delivers polished outputs-faster than ever before.

TechTree is seeking a Senior Infrastructure Engineer to lead design, implementation and maintenance of cloud systems as we scale. You will build robust, secure, and cost-efficient infrastructure that supports rapid product growth while enabling engineering teams to move fast with reliability and audit readiness. You will drive DevOps, observability, and compliance readiness, ensuring systems are audit-ready and optimized for performance and cost.

5+ years of professional software engineering experience Proven experience with React and Next.js in production environments Solid understanding of relational and/or NoSQL databases Experience with Git and collaborative development workflows Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines Experience implementing background workers and task queues (Celery, RQ, etc.) Proficiency with Redis for caching, pub/sub, or job queues Hands-on experience building and deploying AI applications in production environments Experience implementing RAG pipelines, AI agent orchestration, model fine-tuning, and performance monitoring Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety They are seeking a highly skilled Full-Stack Engineer with at least 5 years of professional experience. The ideal candidate has a strong background in building modern web applications, has experience in React/Next.js, experienced with backend development (Python preferred), and has hands-on exposure to infrastructure, DevOps, and AI system development. This role will own and drive large portions of AI agent infrastructure, from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines, model fine-tuning, and evaluation frameworks. Responsible for delivering AI-powered features into production at scale - ensuring they are performant, reliable, and secure - while also contributing across the stack, from frontend interfaces to backend APIs, databases, and deployment pipelines. Design, develop, and maintain frontend applications using React and Next.js. Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, but other languages/frameworks welcome). Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features. Ensure scalability, performance, and security across the stack. Implement CI/CD pipelines, automated testing, and monitoring solutions. Contribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure). Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals). Build real-world AI use cases by integrating fine-tuned models and large language model APIs into user-facing products. Create data pipelines for AI model training, evaluation, and continuous improvement. Mentor junior developers and promote engineering best practices. Reporting directly to the founders Competitive salary £100 - 200 K GBP + equity Performance-based incentives Opportunity to be instrumental in our expansion into the APAC market Supportive and innovative work environment About TechTree's client The client is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. This role will work alongside two well-known founders who successfully sold their last two YC-backed companies. The company has already raised double figures from "Y Combinator" and top-tier venture firms. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, the team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise.

Expertise in designing, architecting, and implementing large-scale foundation models Significant hands on experience optimising and debugging deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building and operating ML systems on cloud platforms Passion and determination Able to grind through complicated and ambiguous problems Delivery-oriented; respects timelines and commitments Openness to disagreement Onsite work in London preferred - remote work with visits in office once a month acceptable What you will do: Lead the research, development, and production deployment of Hypercritical's foundation model. Define the long-term technical strategy for high-performance Machine Learning systems. Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. Serve as the technical guardian for the model's quality and Service Level Objectives (SLOs). Provide a hands-on solution architecture for the core ML infrastructure. Select, evaluate, and implement state-of-the-art technologies (e.g., distributed training, specialized hardware, efficient serving frameworks). Profile and optimize the end-to-end ML stack: data pipelines, training loops, inference serving, and deployment. Design and implement GPU-accelerated components, including custom CUDA kernels where off-the-shelf libraries are not enough. Work closely with the founders to translate product requirements into concrete optimization goals and technical roadmaps. Build internal tooling, benchmarks, and evaluation harnesses that make it easy for the rest of the team to experiment, debug, and ship safely. Why work with us: You'll make a significant impact, getting in on the ground floor of a company that will alter software development forever. You will shape how a never-before-seen foundation model is trained, optimized, and deployed. Our level of transparency is unusual. No management jargon, you will get the simple truth, never a lie. About the Interview: No live or take-home coding tasks. 2 interviews max, 1hr (cultural, online) with CEO and 2hr (technical, face-to-face) with CPO. Ask anything, full honesty is welcomed. Nothing offends us. About Hypercritical.ai An AI/ML tech start-up, developing a novel foundation model, with a singular vision: to achieve fully automated, unsupervised software delivery in embedded control systems. We are based in West London - backed by venture capital, and looking to scale our team.

Hypercritical.ai in West London is seeking a senior ML engineer to lead the research, development, and production deployment of our foundation model. You will define the long-term technical strategy for high-performance ML systems and ensure scalability across diverse hardware. You will optimize the model for peak performance, serve as the technical guardian for quality and SLOs, design GPU-accelerated components, and collaborate with founders to align product goals with technical roadmaps.

TechTree is seeking a highly skilled Full-Stack Engineer with 5+ years of professional experience. The role focuses on building modern web apps with React/Next.js, Python backend, and hands-on DevOps/AI infrastructure. You will own AI-agent infrastructure and drive RAG pipelines, model fine-tuning, and evaluation in production across frontend, backend, and deployment pipelines. The position offers a competitive salary and equity, with opportunities to expand into APAC and work alongside