Capsa AI

Capsa AI is looking for a Senior Fullstack Engineer to take ownership of product features and enhance the development process. You will work primarily in London in a hybrid role, responsible for delivering value across all layers of our application. The ideal candidate has a strong technical background and experience in a fast-paced environment. Capsa AI is scaling quickly and offers competitive compensation along with equity in a rapidly growing company.

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: Senior Fullstack Engineer Location: London, UK (Hybrid, in-person 4 days per week) Team: Engineering Compensation: Top of market. Competitive base + OTE The role Own product features and take them from ideation to production and measure the impact. Work across all layers of the application to deliver value for our customers. Uphold the quality of our codebase and find ways to move faster. The opportunity Ownership: You'll own whole surfaces of the product end to end, not slices of someone else's design. You'll make the architecture calls, ship them, and operate them. Growth: You'll work across the entire stack, alongside a team of startup veterans, and take on real responsibility. Upside: You'll receive meaningful equity in a company that grew 15x last year. Impact: You'll leave an indelible mark on an industry responsible for 7% of US GDP. Recent projects include Agent Harness: Our own agent harness built on a custom, streaming-first graph execution framework. Code Execution Framework: Our own code execution framework that can be interrupted and resumed mid-execution for programmatic tool calling. Document Ingestion, Indexing, and Search: A VLM-based OCR pipeline, a self-hosted search cluster, and domain-aware search strategies. Citations: An end-to-end approach to citation, enabling users to quickly review supporting documentation for any AI generated statement. Document Authoring: Agent tooling and a document editor supporting advanced collaborative authoring across Word, Excel, PowerPoint, and email. Your track record You've worked in a high performance environment. Four or more years building production software at a venture-backed startup or top tech firm, owning features end-to-end, not just one layer. You've shipped things that mattered. Entire products or features taken from ideation to production, with impact you can speak to. Expertise with our stack. Python, TypeScript, React, FastAPI, Postgres, OpenSearch, RabbitMQ, Kafka, LLMs, Agents. Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the product does for the person using it, and that shows in how you build. Comfortable at pace. Fast-moving environments are where you do your best work, not something you tolerate. How you operate Accountable: You take responsibility for what you build and make sure it has a positive impact on our customers and the team. Thoughtful: You think deeply about the problems you're solving and the code you're submitting. You use AI to enhance your thinking, not to outsource it. Pragmatic: You accept that time is limited and information is incomplete. You make progress regardless, and adjust as we learn more. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: Senior Fullstack Engineer Location: London, UK (Hybrid, in-person 4 days per week) Team: Engineering Compensation: Top of market. Competitive base + OTE The role Take what you already know about building reliable systems, or about infrastructure that has to work at scale, into a category-defining company. A fast track to owning the backend that powers decisions at the world's leading PE firms. You'll build and own the services, pipelines, and infrastructure that sit underneath our AI platform - the systems that ingest documents, process financial data, and make everything downstream possible. Whether you've built high-throughput data pipelines, designed distributed systems that don't fall over, or shipped backend services used by demanding professional users, you bring rigour most engineers don't have, and the job is to point that rigour at problems the industry has never had good tooling for. This isn't a place to keep the lights on. We hire engineers who want to build the foundation, not inherit it. Scope grows fast, ownership is real from day one, and the founding team is close enough that the decisions you make now will shape the architecture for years. The opportunity Build the infrastructure the platform runs on. Design and ship the services, APIs, and systems that underpin everything our AI does, reliable, performant, built to scale. Own the data pipelines. Ingest, process, and index large volumes of documents and financial data. The quality of the agent's outputs starts here. Expand what the agent can see. Integrate new data sources into the loop and increase the depth and breadth of analysis our customers can perform. Support the AI layer. Work closely with the AI team to design and implement backend capabilities that give our agent genuine investment expertise. Keep the codebase clean. Uphold rigorous standards across everything you ship. Tech debt is a tax on velocity, and you don't let it accumulate. Recent projects include Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In-house, streaming-first agent framework AI-assisted document editor Track record Backend depth, not just breadth. Four or more years building production software at a venture-backed startup or top tech firm, owning services and systems end-to-end, not just contributing to them. You've shipped things that mattered. Entire features or products taken from ideation to production, with impact you can speak to. If you can't point to what changed because of your work, that's a flag. The right technical toolkit. Strong Python, hands-on experience with FastAPI, Postgres, ElasticSearch, RabbitMQ, Redis, message queues, and distributed systems, or close enough that the gaps close fast. Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the system does for the person depending on it, and that shows in how you build. Comfortable at pace. Fast-moving environments are where you do your best work, not something you tolerate. How you operate Low ego, high ownership. You want to be part of building something that matters more than you want a title that says so. Hungry and resilient. Start-up pace is the appeal, not the trade-off. Rejection doesn't slow you down. Bias for action over planning theatre. You move with incomplete information and adjust as you go. Genuinely curious about AI. Using it, breaking it, building it into how you work. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

Capsa AI is seeking a Senior Fullstack Engineer to build the infrastructure behind our AI Operating System. Located in London, this hybrid position requires your expertise in developing scalable systems that process financial data. We expect candidates to have at least four years of experience in production software and a solid grasp of backend technologies like Python and FastAPI. Join us to shape the future of private capital with cutting-edge technology.

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: AI Consultant Location: London, UK (Hybrid, in-person 4 days per week). Experience Required: Several years in private equity, investment banking or management consulting (specifically with M&A experience) Compensation: Highly Competitive Salary + ESOP The role Sit between the product and the most sophisticated buyers in private capital. Drive adoption, prove ROI, and turn Proof-of-Concept Pilots (PoCs) into long-term partnerships. This role sits at the heart of how Capsa wins and keeps its biggest customers. You'll guide Private Capital funds through implementation, design PoCs that convert pilots into multi-year contracts, and refine the playbook the team runs on as we scale. You report to the CRO, work hand in glove with sales and product, and your work directly shapes both revenue and the product roadmap. The opportunity Client implementation. Guide clients through technical setup, integrations (CRM, data platforms like FactSet), and workflow optimisation. Proof of concept. Design and run PoC engagements that demonstrate clear, measurable ROI during the trial period. Set the bar candidates expect. Adoption and use cases. Identify high-value applications across deal sourcing, due diligence, and portfolio monitoring. Train client teams to execute and embed Capsa into their workflows. PoC to paid conversion. Partner with sales to convert engaged PoCs into paying enterprise clients. You're measured on conversion, not activity. The consulting playbook. Build the repeatable implementation frameworks, training materials, and success metrics that the function will run on as we scale. Executive engagement. Present usage analytics, insights, and strategic recommendations to client C suite and AI committees. Product feedback loop. Work closely with the product team to influence the roadmap based on client needs and market signals. Commercial support. Help scope statements of work, surface expansion opportunities, and contribute to contract negotiations. Why Capsa Exceptional traction. 15x ARR growth in 12 months, PMF with top PE funds managing over $1tn AUM. Category leadership. Defining the AI operating system for private capital markets. High impact role. Direct line to the CEO and CRO. You shape how sophisticated clients embed AI into investment decisions. Career step change. Move from PE, banking or consulting into one of the most watched AI companies in private capital. The kind of move that compounds. Backed by the best. Top VCs and senior PE execs from Warburg Pincus, KKR, and Goldman Sachs. Track record Several years in private equity, management consulting, or investment banking. You've worked in or alongside the buyers we sell to. You understand how PE firms operate, what they value, and how decisions actually get made. Exceptional academic record. A Bachelor's or Master's in Business, Economics, STEM, or a comparable subject from a top-tier university or business school, or an equivalent record of academic achievement. Strong written, verbal, and presentation skills. You can run a C suite briefing, write a board ready deck, and lead a workshop. Comfortable with diverse audiences at any level. Project management. You manage multiple workstreams and tight deadlines with autonomy. You don't wait to be told what's important. AI curious. Experience with foundation models (ChatGPT, Claude, Gemini, etc.) is a requirement, with experience with tools such as Claude Code, Cursor, Lovable and others being a plus. We expect everyone here to use AI to compound their own output. How you operate Client obsessed. Confident presenting to C suite, facilitating workshops, and managing multi stakeholder relationships. Builder. Energised by creating processes, playbooks, and frameworks in fast paced startup environments. Low ego, high ownership, bias for action over planning theatre. Direct communicator. You make decisions, write them down clearly, and tell the team why. Comfortable disagreeing with the founders and the CRO when you believe you're right. Genuinely curious about AI. Using it to compound your own output and building it into how the function operates. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi billion dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top tier VC investors to scale the team. We're hiring hyper talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: Senior AI Engineer Location: London, UK (Hybrid, in person 4 days per week) Team: Engineering Compensation: Top of market. Competitive base + OTE The role Take what you already know about AI systems, or about building at the frontier, into a category-defining company. A fast track to owning the infrastructure that powers decisions at the world's largest PE firms. You'll design and ship the core AI capabilities that sit at the heart of our platform, working directly alongside our founding engineers and CTO. Whether you've built production LLM systems, designed agentic architectures, or pushed the limits of RAG and reasoning chains, you bring depth most engineers don't have, and the job is to point that depth at problems the industry has never had good tooling for. This isn't a place to maintain someone else's codebase. We hire engineers who want to own things end-to-end from day one, and we give responsibility based on impact, not seniority. Strong execution is the fast track to shaping the technical direction of a high growth AI company, building alongside a founding team that will back your best ideas. The opportunity Build the agent's brain. Design and ship features that give our AI genuine investment expertise, the kind that makes analysts faster and makes partners take notice. Push the architecture forward. Prompts, reasoning chains, agent design. You own the quality and reliability of what the model produces, not just the code that runs it. Stay at the frontier. Evaluate new models, techniques, and research as they drop. When something better exists, you're the one who brings it in. Expand what the agent can see. Integrate new data sources into the loop and increase the depth and breadth of analysis the platform can perform. Keep the codebase clean. Uphold rigorous standards across everything you ship. Tech debt is a tax on velocity, and you don't let it accumulate. Recent projects include Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In house, streaming first agent framework AI-assisted document editor Track record Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture backed startup or top tech firm -not as a side project, as the core of the work. You've shipped things that mattered. Entire features or products taken from ideation to production, with impact you can speak to. If you can't point to what changed because of your work, that's a flag. The right technical toolkit. Strong Python, hands on experience with LLMs (OpenAI, Anthropic, open source), agent frameworks, RAG pipelines, vector databases, and backend infrastructure like FastAPI, Postgres, and ElasticSearch, or close enough that the gaps close fast. Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the product does for the person using it, and that shows in how you build. Comfortable at pace. Fast-moving environments are where you do your best work, not something you tolerate. How you operate Low ego, high ownership. You want to be part of building something that matters more than you want a title that says so. Hungry and resilient. Start up pace is the appeal, not the trade off. Rejection doesn't slow you down. Bias for action over planning theatre. You move with incomplete information and adjust as you go. Genuinely curious about AI. Using it, breaking it, building it into how you work. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Capsa AI in London is seeking a Senior Platform Engineer to own the infrastructure supporting AI for leading private equity firms. This role includes managing Kubernetes clusters, designing secure systems, and shaping the architecture for growth. Ideal candidates will have over four years in production environments, strong Kubernetes skills, and a passion for platform engineering. The position offers a hybrid work environment and equity opportunities.

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry. At a Glance Role: Senior Platform Engineer Location: London, UK (Hybrid, in-person 4 days per week) Team: Platform & Security Compensation: Top of market. Competitive base + ESOP The role Own the infrastructure that an AI platform for the world's leading PE firms runs on. You'll join the Platform & Security team and take responsibility for our Kubernetes estate, multi-cloud footprint (Azure primary, plus AWS and GCP), Istio service mesh, Terraform-managed infrastructure, and LGTM observability stack, and for making all of it secure by default. Our customers trust us with their most sensitive data, so security is built into every layer of the platform. You'll also shape how our engineers ship: the paved roads, CI/CD pipelines, and guardrails that let a fast-moving product team deploy confidently without thinking about the infrastructure underneath. The opportunity Ownership: You'll own the platform end to end. You'll make the architecture calls, ship them, and operate them. Foundations: We're at the Series A inflection point. The platform decisions you make now will carry the company through the next 10x. Growth: You'll work alongside a team of startup veterans and take on real responsibility from day one. Upside: You'll receive meaningful equity in a company that grew 15x last year. Impact: You'll leave an indelible mark on an industry responsible for 7% of US GDP. Recent projects include Kubernetes at the core: Operating and scaling our K8s clusters: GitOps deployments with ArgoCD and Helm, networking with Istio, and increasingly demanding stateful and compute-heavy workloads. AI infrastructure: Self-hosted model serving and GPU workloads on Kubernetes as we bring more of our AI stack in-house, alongside our existing self-hosted search cluster. Infrastructure as code: A multi-cloud Terraform estate spanning Azure, AWS, and GCP, built for repeatability, auditability, and least privilege. Observability: Our LGTM stack (Loki, Grafana, Tempo, Mimir), making the platform's behaviour legible to every engineer on the team. Security & compliance: Identity and access, secrets management, network policy, and the hardening and compliance work our enterprise customers demand. Your track record High performance environment. Four or more years running production infrastructure at a venture-backed startup or top tech firm, owning systems end to end. Kubernetes in production, at depth. Designed, operated, and debugged real clusters under load. GitOps with ArgoCD, Helm, and Terraform as your default. Security is how you build. You design with IAM, secrets, and network boundaries in mind from the start. You love this stuff. Curious about how things work under the hood; the kind of person who self-hosts or runs a homelab. Platform engineering is your craft. Comfortable at pace. Fast-moving environments are where you do your best work. Nice to have: GPU and LLM workloads on Kubernetes (the strongest plus, it's where we're heading), Istio or other service mesh, multi-cloud (we're Azure first with AWS and GCP), the LGTM observability stack, and compliance work (SOC 2, ISO 27001). How you operate Accountable: You take responsibility for what you build and make sure it has a positive impact on our customers and the team. You run what you ship, including the on-call and incidents that come with it. Secure by default: You believe the easy path should be the safe path, and you build the guardrails that make it so. Thoughtful: You think deeply about the problems you're solving and the changes you're making. You use AI to sharpen your own thinking, not to outsource it. Pragmatic: You accept that time is limited and information is incomplete. You make progress regardless, and adjust as we learn more. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

Capsa AI is looking for a Senior AI Engineer in London, UK, to design and ship core AI capabilities critical for investment decisions. The engineer will work directly with founding engineers to create impactful solutions at a rapidly growing AI firm. Successful candidates will have strong backgrounds in Python, LLMs, and AI/ML systems, ready to deeply engage with innovative technology in a fast-paced environment.