Senior AI Engineer Jobs

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 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 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, 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 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, 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, 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.

Our client is a venture-backed fintech startup, is hiring a hands-on Head of Engineering to join the team full-time in New York. The successful candidate will take full ownership of the company's technical direction, leading decisions across architecture, backend engineering, data, infrastructure, integrations and security, as well as building and shipping the company's most critical systems while defining the engineering standards that will support the team's growth.


Responsibilities

• Design and own a multi-tenant authorization architecture that controls access to sensitive information at the system level.

• Develop and maintain credentialed integrations, beginning with the IRS and expanding to credit bureaus, government systems, courts and financial institutions.

• Manage complex third-party API workflows, including credential lifecycles, data reconciliation, asynchronous processing, webhook failures, retries and exception handling.

• Establish and maintain a robust security and privacy framework covering PII encryption, access controls, secrets management, audit logging, monitoring and incident response.

• Build systems that protect data provenance, accuracy, and defensibility, ensuring every material value can be traced to its original source.

• Lead critical architectural decisions across backend systems, data infrastructure, application security, reliability and scalability.

• Write and ship production code, particularly for the company's most sensitive and technically complex systems.

• Define and uphold engineering standards across code quality, testing, documentation, observability, ownership and operational readiness.

• Recruit, assess, mentor and lead the engineers who will help build and scale the platform.

Skillset

• Extensive experience designing, building and operating production systems that manage regulated, confidential or highly sensitive information.

• A hands-on approach, with the ability and willingness to write code and personally deliver critical production systems.

• Strong technical expertise across backend engineering, systems architecture, data engineering, infrastructure and security.

• Proven experience delivering software where errors carry significant financial, legal, regulatory or operational consequences.

• The ability to design secure, reliable, traceable and defensible systems, and clearly explain the architectural decisions behind them.

• Experience owning complex integrations involving third-party APIs, credential chains, webhooks, asynchronous workflows, reconciliation processes and inconsistent data.

• Strong knowledge of multi-tenant authorization, granular permission models, encryption, audit trails, monitoring and incident-response procedures.

• Experience taking final responsibility for critical technical decisions and owning the resulting outcomes.

• The ability to balance rapid execution with the accuracy and rigor required when handling sensitive financial and personal information.

• Previous experience as a Head of Engineering, founding engineer, technical founder, or senior engineering leader within an early-stage company, ideally within fintech, legal or another regulated sector.

Benefits

• Salary: $225k - $275k DOE.

• Meaningful equity.

• Medical, Dental and Vision insurance.

Our client is a venture-backed fintech startup, is hiring a Senior AI Engineer to join the team full-time in New York. The successful candidate will take end-to-end ownership of the company's AI capabilities, from models and data pipelines to evaluation, observability and production standards, while also helping shape the future direction of its AI function and team.


Responsibilities

• Design, build and deploy LLM-powered systems that extract structured data from complex documents across multiple formats.

• Develop detailed source citation, confidence-scoring and human-in-the-loop review capabilities to ensure outputs are accurate and traceable.

• Build entity-resolution systems that reconcile information from banks, credit bureaus, government agencies, courts and family-provided records.

• Convert structured estate data into accurate, court-ready documents and filings.

• Create robust evaluation frameworks, ground-truth datasets, and automated regression tests for production AI systems.

• Implement monitoring and observability tools to track model quality, reliability, latency and cost.

• Develop intelligent routing strategies across multiple model providers, balancing accuracy, performance and cost.

• Own the underlying AI infrastructure, including data pipelines, retrieval systems, vector databases and deployment workflows.

• Establish the technical, evaluation and quality standards used to determine when AI capabilities are ready for production.

• Help build and scale the company's AI engineering function, shaping its technical direction, processes and future team.

Skillset

• Proven experience designing, building and deploying production-grade LLM or machine learning systems used by real customers.

• Hands-on experience with document intelligence, information extraction, RAG, AI agents or similar AI applications.

• Experience developing technology in high-stakes environments where accuracy, traceability, compliance and reliability are essential.

• Strong understanding of model evaluation, including how to measure performance, validate outputs and make AI-generated decisions explainable and defensible.

• Advanced proficiency in Python.

• Practical experience building and maintaining production data and AI pipelines.

• Strong knowledge of vector databases, retrieval architectures, model evaluation techniques and routing across multiple LLM providers.

• Ability to independently own the supporting AI infrastructure without relying on a dedicated platform team.

• Experience as a founding or early-stage engineer, technical founder, first AI/ML hire, or someone who has established an AI function within a growing company is highly valued.

Benefits

• Salary: $150k - $250k DOE.

• Meaningful equity.

• Medical, Dental and Vision insurance.

Our client, an AI-driven company within the real estate sector, is hiring a Senior Software Engineer to join their team in New York. The successful candidate will play a key role in designing and delivering scalable systems that address complex, high-impact challenges.


Responsibilities

• Design, build and deliver production-grade software across the company's AI platform.

• Own major systems end to end, from architecture decisions through to implementation and delivery.

• Work closely with the CTO and founding team to define product direction and technical strategy.

• Build AI-powered workflows, including LLM pipelines and agentic systems where accuracy and reliability are critical.

• Develop solutions for complex legal, financial and institutional data challenges.

• Make thoughtful architecture decisions and solve complex engineering problems in ambiguous environments.

• Champion software quality, data integrity, security and reliability across the platform.

• Collaborate cross-functionally to deliver intuitive products for families and professionals.

Skillset

• At least 5 years of experience designing, building and delivering production-grade software solutions.

• Strong programming skills with Python and/or TypeScript.

• Proven experience designing scalable systems and making effective architecture decisions.

• Familiarity with LLM pipelines, AI agents, or the ability to quickly learn and apply emerging AI technologies.

• Strong focus on software correctness, reliability and working with sensitive or regulated data.

• Experience working with databases such as PostgreSQL and data-intensive systems.

• Strong problem-solving skills with a proactive approach to delivering impactful solutions.

• Experience working within fintech, legaltech, healthtech or other regulated industries is a plus.

• Previous startup experience is a bonus.

Benefits

• Salary: $170k - $230k

• Equity.

• Health insurance.

• 401(k).

Our client, a fast-growing AI technology company is hiring a hands-on Director of Software Engineering to join the team in Cleveland, Ohio. The successful candidate will provide strategic and technical leadership across multiple engineering teams, from building high-performing teams, scaling complex software platforms, strengthening engineering practices, and delivering secure, reliable, enterprise-grade technology.


Responsibilities

• Provide strategic and technical leadership across multiple software engineering teams.

• Develop engineering roadmaps aligned with business objectives, product strategy and organizational growth.

• Lead, mentor and develop Engineering Managers and Senior Engineers while building high-performing teams.

• Oversee the delivery of complex software initiatives, ensuring quality, reliability and timely execution.

• Establish engineering standards, architectural principles, coding practices and operational best practices.

• Guide system architecture, scalability, platform modernisation and long-term technical strategy.

• Ensure software solutions meet high standards for performance, security, reliability and availability.

• Drive continuous improvement across Agile, DevOps, CI/CD and quality assurance practices.

• Partner with Product, Data, Security, Infrastructure and other cross-functional teams to align priorities and delivery.

• Communicate engineering strategy, performance, risks and priorities to senior and executive stakeholders.

Skillset

• Bachelor's or Master's degree in Computer Science, Engineering or similar.

• At least 10 years of software engineering experience, including a minimum of 5 years in senior engineering leadership roles.

• Proven track record leading large, distributed or multidisciplinary engineering teams.

• Strong expertise in modern software development, cloud architecture, DevOps and CI/CD practices.

• Experience designing and delivering scalable enterprise software, microservices, APIs and distributed systems.

• Demonstrated success delivering complex software products and platforms at scale.

• Strong understanding of high-availability, secure, and resilient systems.

• Hands-on experience with AWS, Azure, or GCP, alongside Kubernetes, containers and Infrastructure as Code.

• Excellent leadership, communication, stakeholder management and strategic decision-making skills.

• Experience managing engineering budgets, workforce planning and operational performance.

Benefits

• Salary: $150k - $200k.

• Performance Bonus.