AI Engineer Jobs

Alldus has a wide range of AI Engineer Jobs listed below. Search the latest AI Engineer Jobs today.

Remember you can always sign up for job alerts and get the latest AI Engineer Jobs sent straight to your inbox. It’s easy and quick simply click here to get started.

  • Our client, an AI-driven infrastructure company, are hiring a hands-on Head of Engineering to join their team in New York. The successful candidate will take ownership of the company's technical vision and architecture, helping the organization to build reliable, production-grade AI infrastructure designed to scale across increasingly complex enterprise environments.



    Responsibilities

    • Own the long-term technical strategy, architecture and engineering roadmap for the company's AI-native platform.

    • Build, develop and lead a high-performing engineering team as the business scales.

    • Establish engineering standards and development practices that promote quality, accountability and ownership.

    • Lead the development of document processing, contract analysis, invoice verification and autonomous AI agent capabilities.

    • Design scalable infrastructure for processing large volumes of structured and unstructured enterprise data.

    • Ensure the platform remains secure, resilient, scalable and capable of meeting complex enterprise requirements.

    • Partner with the CEO and commercial leadership to align technical priorities with customer needs and business objectives.

    • Remain hands-on with architecture and complex technical decisions, providing guidance and challenge where required.

    • Communicate the company's technical vision to customers, prospects, partners and investors.

    • Balance rapid product development with the robust technical foundations required for long-term growth.




    Skillset

    • Extensive hands-on software engineering experience, with a strong track record of building and deploying production systems at scale.

    • Experience working within an early-stage, high-growth or rapidly scaling technology company.

    • Proven experience hiring, developing, and leading high-performing engineering teams.

    • Strong expertise in designing, building, and operating production-grade AI and LLM applications.

    • Hands-on knowledge of RAG, LLM orchestration, AI agents and evaluation frameworks.

    • Experience developing data-intensive platforms that process large volumes of structured and unstructured data.

    • Strong knowledge of backend architecture, data pipelines, distributed systems, and search technologies.

    • Experience building enterprise software with a focus on security, compliance, integrations and multi-tenant architecture.

    • The technical depth to review code, assess architectural decisions and work closely with senior engineers on complex challenges.

    • Strong commercial awareness with the ability to translate business requirements and customer needs into an effective technical strategy.




    Benefits

    • Salary: $220k - $250k.

    • Equity.

  • Our client, a leading financial services company, are hiring a C++ Quantitative Research Engineer to join the team in New York City. The successful candidate will collaborate with quantitative researchers, engineers and traders to build high-performance applications, research platforms and trading systems that uncover and capture opportunities across global financial markets.


    Responsibilities

    • Develop and maintain high-performance applications using modern C++.

    • Engineer low-latency systems capable of processing and normalising large volumes of market data.

    • Integrate data feeds across global exchanges, vendors and multiple asset classes.

    • Design and optimise high-frequency trading and execution platforms.

    • Create scalable analytics libraries for quantitative research and real-time forecasting.

    • Develop research tools using advanced statistical and machine learning technologies.

    • Translate quantitative models into reliable, production-ready systems.

    • Enhance the speed, resilience and accuracy of critical live-market platforms.

    • Build and monitor distributed systems and complex data-processing pipelines.

    • Partner with quantitative researchers, traders and engineers to deliver commercially valuable solutions.



    Skillset

    • Bachelor's, master's degree or PhD in Computer Science, Computer Engineering, Mathematics, Physics or similar.

    • Extensive software engineering experience, including the development of production-grade systems using C++.

    • Strong knowledge of modern C++, low-latency engineering and performance optimisation.

    • Experience creating reliable, maintainable and high-performance software for business-critical environments.

    • A thorough understanding of distributed systems, scalable architecture and complex data-processing pipelines.

    • Ability to assess interconnected systems from first principles and deliver effective improvements.

    • Experience enhancing established production platforms and designing new systems from the ground up.

    • A rigorous approach to software correctness, system resilience, monitoring and fail-safe engineering.



    Benefits

    • Salary: $275k - $350k

    • Performance bonus.

  • Our client, a growing HealthTech company, are hiring a Senior Full Stack Engineer to join their team In New York City. The successful candidate will develop the product experiences and shared infrastructure that power the platform, while also taking features from initial specification through to production and help shape the technical direction of a rapidly scaling healthcare product.


    Responsibilities

    • Develop and maintain reliable production applications across the full technology stack.

    • Create responsive, user-friendly product experiences using React and TypeScript.

    • Build scalable backend services with Node.js, TypeScript and Python.

    • Manage features throughout the complete development lifecycle, from specification to deployment and ongoing support.

    • Develop shared infrastructure that strengthens platform reliability and improves engineering productivity.

    • Work with complex clinical data and connect the platform with EMR systems.

    • Monitor system performance and optimize database queries, application efficiency and infrastructure costs.

    • Enhance the quality, structure and maintainability of the existing codebase.

    • Work closely with product, design and engineering teams to deliver effective solutions.

    • Contribute to engineering standards and best practices as the organization continues to grow.



    Skillset

    • At least 5 years of experience building and deploying production web applications.

    • Strong TypeScript expertise across frontend and backend development.

    • Extensive hands-on experience developing modern applications with React.

    • Backend development experience using Node.js, TypeScript or Python.

    • A solid understanding of databases, query optimization and infrastructure costs.

    • Proven experience managing features across the full development lifecycle.

    • The ability to improve complex or established codebases without relying on unnecessary rewrites.

    • Strong product judgement, with the ability to balance delivery speed, quality and long-term maintainability.

    • Experience in healthcare, health technology or another regulated industry would be beneficial.



    Benefits

    • Salary: $180k - $225k.

    • Equity.



    Apply below or contact julia@alldus.com directly.

  • Our client, a global Fortune 10 healthcare organisation, is hiring a AI Transformation Specialist for an initial nine-month contract in Ireland. The successful candidate will be responsible for designing, building and scaling AI-powered products, transforming ambitious AI use cases from early-stage experimentation into robust, production-ready systems.


    Responsibilities

    • Design, develop and deploy production-ready AI products, taking solutions from early experimentation and prototyping through to scalable enterprise deployment.

    • Build generative AI and machine learning applications, including LLM workflows, RAG systems, AI agents, predictive models and intelligent automation.

    • Own the end-to-end technical architecture of AI products across models, data, APIs, infrastructure, security, observability and user experience.

    • Create reusable AI platform components, frameworks and engineering patterns that accelerate the development and deployment of AI solutions across the company.

    • Assess and integrate foundation models, AI platforms and emerging technologies, making informed decisions around build vs. buy, performance, cost, security and reliability.

    • Develop evaluation, testing and monitoring frameworks to measure model performance, reliability, latency, safety, adoption and business value.

    • Partner with Product, Engineering and business stakeholders to translate complex operational challenges into practical, high-impact AI solutions.

    • Provide senior technical leadership across AI engineering, mentoring engineers, reviewing architectures and helping shape technical direction across multiple teams.



    Skillset

    • Extensive experience in software engineering, AI engineering or machine learning engineering, ideally operating at Principal, Staff or Senior Staff level.

    • Strong hands-on engineering expertise with a proven track record of designing, building and operating large-scale production systems.

    • Demonstrated experience taking AI and machine learning products from initial concept and prototyping through to production deployment and adoption.

    • Practical experience building LLM and generative AI applications, including RAG, AI agents, tool calling, structured outputs, model evaluation and multi-model systems.

    • Deep understanding of AI/ML architectures and the end-to-end model lifecycle, from data preparation and experimentation through to deployment, monitoring and optimisation.

    • Experience working with MLOps/ModelOps, cloud platforms, APIs, data pipelines, observability and modern software development practices.

    • Experience deploying AI within regulated, sensitive or high-stakes environments, with a strong understanding of security, privacy, governance, compliance and auditability.

    • Proven ability to develop AI evaluation and testing frameworks covering accuracy, reliability, hallucination, latency, safety, cost and business impact.

    • Strong product and commercial judgement, with the ability to identify high-value AI opportunities and translate them into practical technical solutions.

    • Excellent communication and stakeholder management skills, with the ability to influence technical teams, product leaders and senior executives.

  • Our client, a growing HealthTech company, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will develop the services and applications that power patient communications and clinic operations, ensuring they remain reliable and compliant in a regulated healthcare environment.


    Responsibilities

    • Design, develop and maintain backend services and web applications.

    • Build real-time tools for communicating with patients by voice and SMS.

    • Create resilient workflows for long-running tasks and background processing.

    • Collaborate with frontend, product and infrastructure teams to deliver dependable systems that meet healthcare compliance requirements.



    Skillset

    • Proven experience developing reliable backend applications in healthcare, finance or another regulated sector.

    • Strong backend development skills in TypeScript or Python.

    • Experience working with Node.js APIs and technologies such as Express, Mongoose and Twilio.

    • Familiarity with Temporal or another platform for managing distributed workflows.

    • A solid understanding of distributed systems, including retries, idempotency and handling failures.

    • Experience with EHR integrations, HL7 or FHIR, cloud platforms, CI/CD, observability or monorepos is an advantage.



    Benefits

    • Salary: $160k - $200k DOE.

  • Our client, a rapidly growing fintech company, is hiring a Forward Deployed Engineer to join their team in San Francisco or New York City. The successful candidate will lead the technical implementation of the company's AI platform, working closely with customers' compliance teams to understand their investigation processes, integrate the platform with existing systems and data and configure AI agents to follow internal procedures.


    Responsibilities

    • Manage customer implementations from initial API integration through production deployment.

    • Configure and build AI agents to conduct financial crime investigations in line with each customer's procedures.

    • Connect the platform with customer APIs, data pipelines and internal systems.

    • Validate the platform against historical cases and compare its decisions with previous analyst outcomes.

    • Partner with compliance teams to refine agents until their outputs are accurate, explainable and ready for production.

    • Troubleshoot technical issues involving customer data, third-party APIs, integrations and application environments.

    • Serve as the primary technical contact for customers during implementation and following launch.

    • Turn complex or unclear customer requirements into practical technical solutions.

    • Identify recurring customer challenges and share actionable insights with product and engineering teams.

    • Develop reusable tools, templates and implementation frameworks to accelerate and standardize future deployments.



    Skillset

    • At least two years of professional software engineering experience.

    • Strong programming skills in Python, TypeScript, Rust, Java or C++.

    • Previous experience in customer-facing engineering, solutions engineering, implementation engineering or technical consulting.

    • Familiarity with AI and LLM agents, including their configuration, development and prompting.

    • Proven ability to troubleshoot complex issues involving third-party APIs, external data and customer environments.

    • Strong knowledge of APIs, systems integrations, data pipelines and end-to-end application workflows.

    • Ability to apply first-principles thinking when approaching unfamiliar systems and technical challenges.

    • Excellent communication skills, with the ability to work effectively with technical and non-technical stakeholders.

    • Experience within a startup or rapidly growing enterprise software company would be an advantage.



    Benefits

    • Salary: $170k - $250k.

    • Equity.

    • Vision, Mental and Dental insurance.

  • Our client, a leading utilities organization, is hiring an experienced Controls Engineer to join the team in San Antonio. The successful candidate will help ensure the safe, reliable and efficient operation of power generation facilities by providing technical expertise across plant control systems, instrumentation, electrical equipment and operational processes.


    Responsibilities

    • Lead the technical management of plant control systems, instrumentation, electrical equipment and operational processes.

    • Act as the main technical contact for customers, plant teams, technicians, contractors and internal stakeholders.

    • Monitor plant performance and respond to power outages, control system faults, equipment failures and other operational issues.

    • Lead troubleshooting efforts and coordinate corrective actions to restore safe and reliable operations.

    • Complete root cause investigations and develop incident reports, corrective action plans and reliability improvements.

    • Support equipment inspections, testing, preventive maintenance, predictive maintenance and lifecycle planning.

    • Work with multidisciplinary teams throughout plant commissioning, deployment, maintenance and ongoing operations.

    • Review operational data, equipment performance and reliability trends to identify improvement opportunities.

    • Ensure operations comply with company policies, customer expectations, safety procedures, regulatory requirements and industry standards.

    • Maintain accurate technical procedures, operational reports, maintenance records, investigation findings and compliance documentation.



    Skillset

    • A bachelor's degree in Engineering with at least 5 years of experience in controls engineering, power generation, plant engineering or industrial operations.

    • Strong technical knowledge of control systems, instrumentation, electrical systems, mechanical equipment and plant operations.

    • Proven ability to diagnose complex technical issues and deliver practical, long-term solutions.

    • Experience completing root cause investigations and implementing corrective and preventive measures.

    • Good knowledge of industrial safety standards, regulatory requirements and operational risk management.

    • Excellent written and verbal communication skills, including the ability to explain technical concepts clearly.

    • Strong organizational skills with the ability to balance multiple priorities and meet operational deadlines.

    • Flexibility to provide rotational and emergency support when required.

    • Willingness to travel to company facilities and customer sites.

  • Our client, an early-stage AI startup, are hiring a Senior Software Engineer to join the team in New York.  The successful candidate will own a critical part of the future accounting technology stack, working directly with customers to understand their challenges, design effective solutions and build systems that replace complex manual processes.


    Responsibilities

    • Own the end-to-end development of a core finance domain and its supporting technology.

    • Design reliable AI agents that finance teams and auditors can understand and trust.

    • Develop verification, guardrail, monitoring and evaluation systems for nondeterministic AI.

    • Build financial context across transactions, ledgers, contracts, policies and historical decisions.

    • Integrate, standardize and reconcile data from ERPs, banks, payroll systems, billing platforms, CRMs and email.

    • Create durable and replay-safe workflows across complex stateful enterprise systems.

    • Develop secure and fully traceable write-back capabilities for financial systems.

    • Work directly with customers to understand finance processes and translate them into production software.

    • Contribute to technical decisions across LLM pipelines, infrastructure, backend systems and user experience.

    • Use AI coding agents to accelerate development and deliver high-quality production systems.



    Skillset

    • At least 5 years of software engineering experience focused on backend development or infrastructure.

    • Strong programming experience with Python, Go, Java, Rust or another modern backend language.

    • The ability to quickly become productive within a Python-based environment.

    • Experience building complex backend systems including distributed pipelines, transactional platforms, ledger systems, integrations or workflow engines.

    • Previous experience working within an early-stage startup from pre-seed through Series B.

    • Ability to work directly with customers and translate operational challenges into scalable software.

    • Experience within fintech, accounting, payments, banking, treasury, audit, ERP or compliance technology.

    • Experience building production AI agents, evaluation frameworks, verification systems or AI observability platforms.

    • Knowledge of data warehouses, financial systems and enterprise integrations.

    • Strong system design, product judgment and problem-solving skills.


    Benefits

    • Salary: $180k - $220k.

    • Early-stage equity.

    • Full medical, dental and vision coverage.

    • A 401(k) contribution match.

  • Our client, a leading consulting firm, are hiring a hands-on Product Security Architect to join their team on a contract basis in Dublin, Ireland. The successful candidate will integrate secure-by-design principles across cloud-native applications and modern engineering environments, including shaping application security strategy, and working closely with engineering and platform teams to drive secure delivery practices.


    Responsibilities

    • Lead threat modelling and security design reviews for cloud-based applications.

    • Embed security controls and best practices across the SDLC.

    • Integrate security testing into CI/CD pipelines and DevSecOps workflows.

    • Drive application security initiatives, including SAST, DAST and penetration testing.

    • Advise engineering teams on secure coding, cloud security and container security.

    • Identify, assess, and mitigate security risks across applications, platforms and cloud services.

    • Promote a security-first culture and support the adoption of Shift-Left security practices.



    Skillset

    • At least 5 years' experience in Product Security, Application Security or Security Architecture.

    • Strong expertise in Azure and AWS cloud environments.

    • Hands-on experience in threat modelling and secure architecture reviews.

    • Strong knowledge of SAST and DAST tools and associated methodologies.

    • Experience conducting, managing or reviewing penetration testing activities.

    • Solid understanding of DevSecOps, CI/CD security and Shift-Left security practices.

    • Experience securing containers and containerised platforms.

    • Strong understanding of cloud application security and secure software development practices.

    • Strong stakeholder engagement and communication skills.

    • Experience in complex enterprise or highly regulated environments is a plus.

  • Our client, an established IT Services and Consulting firm, are hiring an AI Copilot Specialist to join their team in Dublin or Waterford on a contract basis. The successful candidate will play a key role in shaping and delivering AI-driven solutions across the Microsoft ecosystem, while supporting internal engineering teams in developing their AI capability, knowledge and confidence.


    Responsibilities

    • Take a leading role in developing and advancing the organisation's AI and Copilot capabilities.

    • Architect and deliver AI-driven and agentic solutions across the Microsoft technology stack.

    • Serve as the internal subject matter expert for Microsoft Copilot technologies and AI Foundry.

    • Contribute to the evolution of AI strategy, governance frameworks, tooling and best practices.

    • Support and upskill engineering teams through mentoring, training and hands-on guidance in AI technologies.

    • Develop and deploy AI agents and automated agentic workflows to meet growing business needs.

    • Collaborate with technical stakeholders to gather requirements and design scalable AI solutions.

    • Provide hands-on technical support and solution delivery where required across projects.

    • Champion the adoption of AI technologies and help drive overall AI capability and maturity across the business.



    Skillset

    • Proven commercial experience working with Microsoft Copilot technologies and solutions.

    • Strong hands-on experience designing and developing AI and agentic solutions.

    • Solid understanding of the wider Microsoft technology ecosystem, including Microsoft 365.

    • Experience working with AI Foundry and associated Microsoft AI platforms and tooling.

    • Ability to provide technical leadership while remaining actively involved in delivery.

    • Previous experience mentoring, coaching or enabling engineering and development teams.

    • Excellent stakeholder engagement, communication and collaboration skills.

    • Background in software engineering, technical architecture or solution design is a plus.

  • Our client, a growing tech consultancy, are hiring an experienced ServiceNow Architect to join the team in Virginia. The successful candidate will provide technical leadership across a large, multi-module ServiceNow environment supporting a federal customer. Including to own the platform architecture and technical strategy, and lead major upgrades, new implementations and complex integrations.


    Responsibilities

    • Own and evolve the ServiceNow platform's technical architecture, strategy and long-term roadmap.

    • Lead the design of major platform upgrades, new module deployments and complex integrations across the ServiceNow ecosystem.

    • Develop and enforce engineering standards, security controls, architectural guidelines and governance practices aligned with federal requirements.

    • Convert business and mission-critical requirements into secure, scalable and maintainable ServiceNow solutions.

    • Assess emerging ServiceNow products and capabilities, recommending appropriate technologies and features for adoption.

    • Provide technical direction, mentorship and architectural guidance to senior and mid-level ServiceNow developers.

    • Partner with federal customers, stakeholders, program managers and delivery teams throughout the solution lifecycle.

    • Review technical designs and high-risk platform changes to maintain quality across implementations and upgrades.

    • Ensure all solutions satisfy federal requirements relating to security, compliance, auditability, reliability and performance.

    • Promote continuous platform improvement by addressing technical debt and advancing the overall ServiceNow environment.



    Skillset

    • Active Top Secret security clearance is essential.

    • ServiceNow Certified System Administrator (CSA) certification.

    • CompTIA Security+ and ServiceNow Certified Application Developer (CAD) certifications are highly desirable.

    • Additional ServiceNow credentials, such as Certified Technical Architect (CTA) or relevant Certified Implementation Specialist (CIS) certifications, would be a plus.

    • Extensive experience designing and implementing ServiceNow solutions across large, complex enterprise environments.

    • Demonstrated success leading technical strategy for major platform upgrades and multi-module implementations.

    • Advanced knowledge of ServiceNow architecture, security, integrations, development standards and platform best practices.

    • Proven ability to design scalable ServiceNow architectures and effective enterprise governance frameworks.

    • Experience supporting federal or Department of Defense customers, with knowledge of relevant security, compliance, and audit frameworks is a bonus.

    • Excellent stakeholder engagement, communication and technical leadership skills.

  • Our client, a ServiceNow solutions organization, is hiring an experienced ServiceNow Principal Technical Consultant specializing in AI and Agentic AI to join the team in Ohio on a contract basis. The successful candidate will design and deliver intelligent solutions across the ServiceNow platform, including lead the architecture and development of solutions leveraging Now Assist, AI Agents, Agentic AI Workflows, Predictive Intelligence and GenAI, while mentoring technical teams and owning overall project delivery.

     

    Responsibilities

    • Architect and deliver AI-powered ServiceNow solutions.
    • Implement Now Assist, AI Agents and Agentic AI Workflows.
    • Build GenAI-enabled process automation and intelligent workflows.
    • Configure AI Agents, skills, prompts and workflow orchestration.
    • Integrate ServiceNow with LLMs, third-party AI tools and data platforms.
    • Lead and mentor technical teams.
    • Advise customers on AI architecture, governance and best practices.
    • Communicate the business value and ROI of AI solutions.

     

    Skillset

    • Expert-level ServiceNow development and architecture experience.
    • Strong experience with Now Assist, AI Agents and Agentic AI.
    • Expertise across at least two ServiceNow modules/process areas.
    • Understanding of GenAI, LLMs and prompt engineering.
    • Experience with AI integrations and workflow automation.
    • Strong client-facing, communication and presentation skills.
    • Ability to lead technical delivery while remaining hands-on.
    • Relevant ServiceNow certifications highly desirable.
    • Able to travel up to 15%.
    • US citizen or Green Card only.
  • Our client, a global life sciences organization based in Dublin, Ireland, is hiring a Senior AI / ML Production Engineer to join their team remotely on a 12-month daily-rate contract. The successful candidate will transform experimental AI and machine learning models developed by internal Data Science teams into secure, scalable, production-grade solutions for clinical trial environments.


    Responsibilities

    • Transform prototype Python algorithms and machine learning models into reliable, production-ready APIs, microservices and automated data pipelines.

    • Design, build and maintain enterprise-grade CI/CD and MLOps pipelines supporting automated testing, deployment, model versioning and monitoring.

    • Refactor and optimise research code to improve runtime performance, scalability and memory efficiency when processing large clinical datasets.

    • Collaborate with backend engineering teams and cloud architects to integrate AI services into existing AWS and Azure environments.

    • Implement model monitoring, telemetry, performance tracking and drift detection to maintain long-term reliability and reproducibility in production.

    • Ensure all production systems and pipelines comply with GDPR, HIPAA, GxP and other applicable data privacy and regulatory requirements.



    Skillset

    • At least 5 years of professional software engineering experience, including a minimum of 3 years focused on production ML engineering or MLOps.

    • Expertise in Python, with experience using frameworks and libraries such as Pandas, PyTorch, TensorFlow, FastAPI or Flask.

    • Hands-on experience with MLOps and data orchestration tools such as MLflow, Databricks, Kubeflow, Airflow or DVC.

    • Strong experience with AWS or Azure, alongside Docker, Kubernetes, and CI/CD platforms such as GitHub Actions, Azure DevOps or Jenkins.

    • Strong understanding of SQL and NoSQL databases, Spark, distributed computing and large-scale complex data processing.

    • Previous experience within life sciences, pharmaceuticals, clinical research, healthcare or another highly regulated industry is a bonus.

  • 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.

Load more listings
Add Alert
Sign in or create an account to continue.