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Our client, a rapidly growing AI startup in the hospitality sector, is hiring a Founding Applied AI Engineer to join their team in New York. The successful candidate will play a key role in developing the platform, delivering AI applications into production and leading technical decisions, while also helping define the product roadmap and broader business strategy.
Responsibilities
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Build and launch end-to-end product features, spanning backend services, AI workflows and customer-facing React applications.
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Develop the systems that enable AI agents to operate effectively, including context handling, tool execution, orchestration, persistent state and human approvals.
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Create APIs, integrations and data pipelines linking point-of-sale, accounting, payroll and other business systems.
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Convert invoices, recipes, supplier catalogues and inventory records into accurate, structured data.
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Design evaluations around real customer workflows and diagnose issues across model outputs and tool interactions.
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Strengthen agent reliability through effective error recovery and escalation processes.
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Use production results to guide model selection and improve accuracy, completion rates, response times and operating costs.
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Engage with customers to understand their operational needs and translate feedback into practical product enhancements.
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Help shape system architecture, product priorities and engineering practices as the business grows.
Skillset
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Strong technical expertise in LLM and agentic applications, backend and data systems, or React product development.
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Proficiency in Python or JavaScript/TypeScript, with a willingness to develop across both.
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Experience delivering production AI agents, including tool integration, context management, persistent state, error recovery and evaluations.
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An understanding of different AI models and providers, and how their strengths and limitations influence architecture and performance.
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Experience developing and operating cloud applications on AWS, GCP, Azure or similar platforms.
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A track record of building substantial software and explaining the technical decisions behind it; startup work, personal projects and open-source contributions are welcome.
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Experience building data pipelines and working with SQL or document databases to manage incomplete or inconsistent information.
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Strong engineering practices, including version control, maintainable code, effective testing and systematic debugging.
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A product-focused mindset, with the initiative to understand customer needs, challenge assumptions and take ownership of delivery.
Benefits
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Salary: $150k - $225k.
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Equity.
Our client, a major transportation organization, is hiring a German-speaking ServiceNow SPM Business Analyst for an urgent contract opportunity in Austria. The successful candidate will partner with business and technology teams to enhance portfolio management and planning, maximize the benefits of ServiceNow Strategic Portfolio Management (SPM) and encourage its adoption across the organization.
Responsibilities
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Work with stakeholders to capture and assess requirements across demand, project and portfolio management, investment planning and strategic planning.
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Turn business requirements into well-defined user stories, acceptance criteria and functional documentation.
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Recommend standard ServiceNow SPM capabilities that meet business needs while limiting unnecessary customization.
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Lead workshops to clarify requirements, refine processes and demonstrate how SPM can support business objectives.
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Encourage platform adoption by explaining its value and securing stakeholder support.
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Constructively challenge requests and guide stakeholders towards effective solutions using existing functionality.
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Partner with product owners, architects and technical teams to agree practical solutions and clarify delivery requirements.
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Help prioritize the backlog and identify improvements to SPM workflows and supporting business processes.
Skillset
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Fluent German is essential.
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Proven experience as a ServiceNow Business Analyst, with a strong focus on Strategic Portfolio Management (SPM).
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In-depth knowledge of standard ServiceNow SPM capabilities and how to apply them with minimal customization.
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Experience across Demand Management, Project Portfolio Management, Investment Planning, Portfolio Planning and Strategic Planning.
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Ability to translate complex business needs into practical solutions, clear user stories and acceptance criteria.
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Strong stakeholder management skills, with experience leading workshops and communicating requirements.
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Confidence influencing business and technical teams, demonstrating SPM's value and encouraging adoption.
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A track record of supporting ServiceNow implementations or transformation programs.
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Relevant ServiceNow certifications, particularly in SPM, would be a bonus.
Our client, a rapidly growing AI startup in the hospitality sector, is hiring a Founding Software Engineer to join their team in New York. The successful candidate will be responsible for helping to shape the product roadmap, work closely with customers and lead feature development from early ideas through to launch.
Responsibilities
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Build and launch end-to-end features across backend systems, AI agents and customer-facing React applications.
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Develop the infrastructure supporting agent context, tool use, orchestration, persistent state and human approvals.
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Create APIs, integrations and data pipelines linking point-of-sale, accounting, payroll and other operational platforms.
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Convert invoices, recipes, supplier catalogues and stock records into accurate, structured data.
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Evaluate agents against real customer workflows, diagnose failures and strengthen recovery and escalation processes.
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Use production results to assess models and providers, improving accuracy, completion rates, response times and cost efficiency.
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Collaborate with customers to understand day-to-day challenges and turn their feedback into practical product enhancements.
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Help shape product priorities, system architecture and strategic decisions as an early member of the engineering team.
Skillset
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Strong technical expertise in LLM and agentic applications, backend and data system and/or React product development.
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Proficiency in Python or JavaScript/TypeScript, with the flexibility to work across both.
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Experience deploying production AI agents, including tool execution, context management, persistent state, failure recovery and evaluations.
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Ability to assess different AI models and providers, understanding how their strengths and limitations influence architecture and performance.
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Experience developing and operating cloud infrastructure on AWS, GCP, Azure or equivalent platforms.
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Strong data engineering skills, including APIs, integrations, pipelines and databases that handle incomplete or inconsistent information.
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A track record of building substantial software, with the ability to explain technical decisions, trade-offs and lessons learned.
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Good engineering discipline, including readable code, version control, testing and systematic debugging.
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A product-focused, proactive approach, with the confidence to work with customers, challenge assumptions and own delivery in an early-stage environment.
Benefits
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Salary: $150K - $225K
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Equity.
Our client, a growing US proptech company, is hiring a Full-Stack Engineer to join the team in New York. The successful candidate will collaborate with product, operations and leadership teams to develop platform features, take ownership of projects from initial design through to delivery and help shape the technical architecture and engineering culture.
Responsibilities
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Build full-stack functionality that helps renters secure housing and supports landlords in increasing occupancy.
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Develop and scale backend systems using Ruby on Rails and PostgreSQL.
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Deliver and enhance customer-facing applications with React, JavaScript and TypeScript.
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Manage features end to end, covering backend logic, API development and frontend delivery.
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Work with product and leadership teams to define roadmap priorities, technical architecture and system design.
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Strengthen platform reliability, optimize application performance and improve development workflows.
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Help establish engineering best practices and guide technical decisions to support future growth.
Skillset
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Minimum of 2 years of professional software engineering experience, with a strong command of Ruby on Rails.
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Proven experience building frontend applications with React and JavaScript.
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Comfortable working across backend development, frontend applications and infrastructure.
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A degree in computer science or an equivalent engineering background.
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Able to work independently, take initiative and own delivery in a fast-moving environment.
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Strong analytical and problem-solving skills, with the ability to turn changing requirements into effective solutions.
Benefits
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Salary: Up to $175k DOE.
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Comprehensive health benefits.
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A laptop and full equipment setup.
Our client, AI-focused Insurance startup, are hiring a Software Engineer to join their team in New York. The successful candidate will be responsible to own core systems from day one, developing products that transform complex, unstructured insurance data into actionable insights.
Responsibilities
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Develop data ingestion pipelines to convert insurance policies, schedules, loss runs and other complex documents into structured data.
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Connect and enrich insurance data with insights from over 100 external datasets.
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Create AI-driven underwriting and risk modelling workflows that inform pricing and insurance placement decisions.
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Design and build customer-facing applications that simplify insurance portfolio organization, analysis and management.
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Work across backend systems, infrastructure and frontend applications.
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Take ownership of features from concept to launch, collaborating closely with the CTO and founding engineering team.
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Apply modern AI development tools to streamline delivery and increase engineering productivity.
Skillset
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At least 4 years of software engineering experience, with a track record of shipping products for real customers.
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Experience as a founding or early-stage engineer or in a small startup team with a broad remit.
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Strong full-stack capabilities, with confidence across backend development, infrastructure and customer-facing applications.
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Practical experience building APIs, data pipelines, asynchronous workflows and data enrichment processes.
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An interest in using AI and software to turn complex, unstructured data into useful information.
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Initiative, sound judgement and the ability to work independently as requirements evolve.
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Clear communication skills, openness to challenging assumptions and a commitment to taking ownership of results.
Benefits
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Salary: $150k - $200k.
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Equity.
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Health Insurance.
Our client, a global Healthcare organisation, are hiring an experienced Portfolio Product Lead with expertise in AI to join their team remotely on a 12-month contract. The successful candidate will lead and shape a portfolio of AI initiatives, with a strong focus on identifying high-value opportunities, setting priorities and driving initiatives from concept through to successful delivery and adoption.
Responsibilities
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Lead and oversee a portfolio of AI initiatives, ensuring alignment with wider business priorities.
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Develop and manage the AI portfolio roadmap, balancing strategic objectives, business value and delivery priorities.
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Translate business challenges and opportunities into clearly defined AI initiatives and product priorities.
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Partner with senior stakeholders to establish priorities, build alignment and drive effective decision-making.
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Collaborate across product, technology, data, AI and business teams to move initiatives from concept through to delivery and adoption.
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Define clear objectives, success measures and expected business outcomes across the AI portfolio.
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Track portfolio performance, dependencies, risks and value realisation, adjusting priorities where required.
Skillset
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Proven experience leading and delivering AI or data-driven initiatives within a complex organisation.
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Strong understanding of AI from a strategic, product and business perspective, rather than requiring deep technical expertise.
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Experience developing product roadmaps, managing competing priorities and overseeing a portfolio of initiatives.
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Excellent stakeholder management and influencing skills, with experience engaging and aligning senior stakeholders.
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Strong strategic and commercial mindset, with the ability to connect AI opportunities to business value and measurable outcomes.
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Experience collaborating across multidisciplinary teams spanning business, product, technology, data and AI.
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Excellent communication and presentation skills, with the ability to translate complex AI concepts into clear business language for non-technical audiences.