search jobs

Our client, early-stage Fintech company in San Francisco, are hiring a Senior Software Engineer to join the team remotely. The successful candidate will become the founding engineer for the company's Vault product, taking ownership of designing and building the systems that connect software with real-world operations, including the automation of asset intake, inventory management and more.



Responsibilities

• Take end-to-end ownership of the Vault technology platform, leading systems and features from architecture and technical design through development, deployment and user experience.

• Design and automate the physical asset intake workflow, covering receiving, scanning, inventory processing, exception management and quality control.

• Build and scale Vault-as-a-Service, including account infrastructure, billing and APIs that enable enterprise partners to programmatically store, manage and ship assets.

• Develop resilient partner integration infrastructure capable of handling malformed data, duplicate submissions, out-of-order events, retries and SLA failures.

• Build and enhance the asset imaging and digitization platform, including image capture, lighting workflows, automated validation and 360-degree digital representations.

• Apply computer vision and AI models to automate quality assurance and detect imaging, labelling and inventory discrepancies before they impact customers.

• Develop AI agents and operational automation to investigate exceptions, identify recurring issues, surface root causes and reduce manual intervention.

• Create scalable tooling and data infrastructure that enables the rapid introduction of new asset classes, including schema creation, information extraction and classification.

• Build MCP servers, AI integrations, and agent-based workflows that make Vault inventory, asset status and event history easier for teams to access and manage.

• Provide technical leadership as the Vault engineering team grows, contributing to architectural decisions, code reviews, engineering standards, documentation and mentorship.

Skillset

• At least 5 years of professional software engineering experience, with a strong track record of building, shipping and operating production-grade applications.

• Strong backend engineering skills using Python, PostgreSQL, AWS or comparable technologies.

• Strong frontend development experience with React, React Native, JavaScript and/or TypeScript.

• Proven ability to take end-to-end ownership of complex systems, from architecture and technical design through implementation, deployment and user experience.

• Experience designing and building APIs, third-party integrations, event-driven systems, workflow automation and internal operational tooling.

• Strong understanding of system reliability, scalability, SLAs, performance, failure handling and production operations.

• Hands-on experience with AI-enabled engineering and automation, ideally including AI agents, computer vision, MCP servers, connectors or production AI tooling.

• Experience solving engineering challenges that connect software with physical-world operations, such as logistics, fulfilment, imaging, inventory, shipping or asset management.

• Strong product and commercial mindset, with an understanding of how engineering decisions influence customer experience, operational performance and business outcomes.

• Comfortable working in a fast-paced, high-ownership environment, making pragmatic technical decisions and moving quickly while maintaining high standards of reliability.

Benefits

• Salary: $180k - $220k DOE.

• Equity.

• Medical, dental, and vision coverage.

• 401(k).

• Remote working.

Our client, early-stage Fintech company in San Francisco, are hiring a Senior Software Engineer to join the team remotely. The successful candidate will build and evolve the double-entry ledger that serves as the platform's financial system of record, while playing a key role in shaping the next generation of the platform, including a major ledger rebuild and the expansion of payment infrastructure.


Responsibilities

• Own and evolve the double-entry ledger, covering transactions, balances, holds, reversals, payment states, point-in-time balances and comprehensive audit trails.

• Design and build highly reliable money-movement infrastructure across ACH, instant payments, wires, cards and emerging settlement rails.

• Develop scalable payout and settlement systems, supporting instant payouts, batch processing and high-volume marketplace transactions.

• Build automated reconciliation systems that detect and resolve discrepancies across internal ledgers, banking partners and payment processors.

• Design and scale the infrastructure underpinning lending products, including disbursements, repayments, partial payments, reversals and complex loan lifecycles.

• Build resilient multi-provider payment architecture, incorporating webhooks, idempotency, retries, state machines and robust failure handling.

• Develop controls for high-value financial transactions, including fraud prevention, disputes, chargebacks, limits, holds and settlement management.

• Ensure complex financial activity is translated into a clear and intuitive customer experience, including balances, transaction histories, funding sources and settlement activity.

• Make pragmatic architectural decisions that balance delivery speed with financial accuracy, reliability, scalability and long-term maintainability.

• Provide senior technical leadership through architecture, code reviews, documentation and mentorship, raising engineering standards across the team.

Skillset

• Minimum of 5 years of professional software engineering experience, with a strong focus on backend, payments, fintech or financial systems.

• Strong proficiency in Python, PostgreSQL, AWS, SQL and relational data modelling.

• Hands-on experience building and operating real-world money movement systems, including ACH, instant payments, wires, cards or comparable payment rails.

• Experience designing, building, migrating or owning a double-entry ledger in a production environment.

• Strong understanding of webhooks, idempotency, race conditions, state machines, eventual consistency and reconciliation.

• Experience building highly reliable systems for high-value financial transactions, where accuracy, resilience and traceability are critical.

• Strong knowledge of transactional database architecture, particularly for high-volume, concurrent and financially sensitive workloads.

• Experience within payments, fintech, lending, marketplaces or other complex financial transaction environments.

• Strong ownership and product mindset, with the ability to balance speed, financial correctness, customer experience and long-term architecture.

• Experience with React and TypeScript would be a plus.

Benefits

• Salary: $140k - $180k DOE.

• Equity.

• Medical, dental, and vision coverage.

• 401(k).

• Remote working.

Our client, an AI-driven legal tech company, is hiring a Founding Software Engineer to join the team in San Francisco, CA. The successful candidate will own the development and scaling of full-stack applications across the platform, combining product engineering, infrastructure and applied AI to deliver high-quality customer experiences.


Responsibilities

• Design, build and maintain production-grade full-stack applications using React and TypeScript.

• Develop scalable APIs, data models and backend services that support a rapidly evolving product.

• Design flexible and scalable data architectures using NoSQL databases.

• Build and maintain integrations with third-party APIs, authentication, payments and document platforms.

• Take end-to-end ownership of features, from initial design and development through deployment and continuous improvement.

• Leverage AI coding tools and agent-driven development workflows to accelerate engineering and improve productivity.

• Collaborate closely with product and design to turn customer needs into intuitive, high-quality product experiences.

• Continuously improve the platform's performance, reliability, scalability and developer experience.

• Contribute to technical architecture and engineering decisions as the platform and team scale.

• Solve complex and ambiguous technical problems within a fast-moving, highly iterative startup environment.

Skillset

• At least 2 years of professional software engineering experience, with a track record of building and shipping production-grade web applications.

• Strong proficiency in TypeScript, React and modern full-stack development.

• Hands-on experience designing, building and integrating APIs and backend services.

• Solid understanding of distributed systems, application architecture and scalable software design.

• Experience working with NoSQL databases and flexible data-modelling patterns.

• Comfortable using AI-assisted development tools, coding copilots and agent-based engineering workflows.

• Proven ability to own features end-to-end, from technical design and implementation through to production.

• Ability to work independently, navigate ambiguous requirements and make pragmatic technical decisions.

• Strong product mindset with a focus on shipping high-quality software that delivers meaningful customer value.

• Previous experience within an early-stage startup or other fast-paced engineering environment would be a big plus.

Benefits

• Salary: $120k - $180k

• Equity.

Our client, an AI-driven legal tech company, is hiring a Founding AI Engineer to join the team in San Francisco, CA. The successful candidate will design and deploy production-grade LLM systems for a next-generation legal technology platform, while also transforming complex legal workflows into reliable, agent-driven solutions that work seamlessly across documents, communications and structured data.


Responsibilities

• Build and deploy production-grade LLM systems for document analysis, legal drafting and workflow automation.

• Design and orchestrate AI agents that execute complex, multi-step tasks using frameworks such as LangChain and Deep Agents.

• Create comprehensive AI evaluation frameworks to measure accuracy, reliability, regressions and production performance.

• Build scalable pipelines for ingesting, processing and structuring complex documents, including OCR and unstructured data extraction.

• Improve model and agent performance through prompt engineering, retrieval optimization, context management and tool integration.

• Develop RAG, memory and retrieval systems that allow AI agents to reason effectively across large volumes of legal information.

• Monitor, troubleshoot and improve long-running agent workflows, identifying and resolving reliability issues and production failures.

• Partner with product and engineering teams to turn complex legal processes into scalable AI-powered workflows and product capabilities.

• Help shape the wider AI architecture, making practical technical decisions as the platform and customer base grow.

• Own AI systems throughout their lifecycle, from experimentation and evaluation to production deployment, monitoring and continuous improvement.

Skillset

• At least 3 years of professional software engineering experience, successfully building and shipping production AI systems.

• Strong proficiency in TypeScript, with a solid background in developing reliable, production-grade backend services.

• Hands-on experience building with LLMs, AI agents and agent orchestration frameworks, ideally including LangChain or similar technologies.

• Experience developing AI evaluation and testing frameworks, including benchmarks, test datasets, regression testing and performance monitoring.

• Strong knowledge of RAG, prompt engineering, context engineering and tool-enabled LLM architectures.

• Experience with document intelligence, OCR, information extraction and unstructured data processing.

• Proven ability to diagnose and improve the reliability, accuracy and performance of production AI systems.

• A high-ownership approach, with the ability to take complex technical systems from initial concept through to production.

• Experience within an early-stage startup or similarly high-growth engineering environment would be highly valued.

Benefits

• Salary: $120k - $200k DOE.

• Equity.

Our client, a fast-growing AI FinTech company, is hiring a Staff-Level Software Engineer to join their team in New York. The successful candidate will take ownership of the foundational platform systems powering the company's AI products, building shared infrastructure that enables engineering teams to develop and deploy reliable, scalable AI solutions.


Responsibilities

• Design and develop the core AI agent platform, building shared frameworks for context management, verification, guardrails, evaluation, observability and developer tooling.

• Architect the financial context layer that enables AI agents to reason across ledger data, accounting policies, contracts, historical decisions, dimensions and permissions.

• Define and implement standards for AI reliability, auditability, verification and evaluation, ensuring AI-generated outputs can be trusted within critical financial workflows.

• Build scalable financial data infrastructure for ingesting, normalizing, reconciling and modeling data from ERPs, banks, billing, payroll, CRM and other enterprise systems.

• Design reliable orchestration systems capable of supporting complex, long-running and stateful AI workflows.

• Develop secure and fully traceable mechanisms for writing AI-generated actions back to ERPs and financial systems of record.

• Identify architectural bottlenecks and create reusable platforms, frameworks and abstractions that improve engineering productivity across the organization.

• Lead key architectural decisions across distributed systems, AI infrastructure, data platforms, enterprise integrations and product architecture.

• Collaborate directly with accountants, controllers, CFOs and customers to understand complex financial processes and translate them into scalable production systems.

• Remain deeply hands-on, using modern AI development and coding tools to design, build, test and ship production-grade systems.

Skillset

• At least 8 years of professional software engineering experience, including experience operating at Staff, Principal or equivalent senior IC level.

• Deep expertise in backend engineering and distributed systems, including areas such as data infrastructure, workflow engines, transactional systems, integration platforms or AI agent platforms.

• Strong programming skills in Python, Go, Java, Rust or a comparable modern language, with the ability to quickly become productive in Python.

• Proven experience designing platform infrastructure, frameworks and architectural abstractions that support multiple engineering teams and products.

• Track record of leading significant technical and architectural decisions, particularly within ambiguous, rapidly evolving environments.

• Strong understanding of system reliability, scalability, observability, data integrity, security and production infrastructure.

• Ability to quickly understand complex business domains and translate workflows and requirements into scalable, reusable technical solutions.

• A high-ownership approach, with the ability to identify problems, define solutions, make technical decisions and deliver with minimal direction.

• Experience working within an early-stage technology company, ideally from pre-seed through Series B.

• Comfortable remaining deeply hands-on across AI systems, backend engineering, infrastructure, data platforms and product development.

Benefits

• Salary: $200k - $250k DOE.

• Equity:

• Comprehensive medical, dental and vision insurance.

• 401(k) match.