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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
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Manage customer implementations from initial API integration through production deployment.
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Configure and build AI agents to conduct financial crime investigations in line with each customer's procedures.
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Connect the platform with customer APIs, data pipelines and internal systems.
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Validate the platform against historical cases and compare its decisions with previous analyst outcomes.
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Partner with compliance teams to refine agents until their outputs are accurate, explainable and ready for production.
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Troubleshoot technical issues involving customer data, third-party APIs, integrations and application environments.
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Serve as the primary technical contact for customers during implementation and following launch.
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Turn complex or unclear customer requirements into practical technical solutions.
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Identify recurring customer challenges and share actionable insights with product and engineering teams.
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Develop reusable tools, templates and implementation frameworks to accelerate and standardize future deployments.
Skillset
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At least two years of professional software engineering experience.
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Strong programming skills in Python, TypeScript, Rust, Java or C++.
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Previous experience in customer-facing engineering, solutions engineering, implementation engineering or technical consulting.
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Familiarity with AI and LLM agents, including their configuration, development and prompting.
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Proven ability to troubleshoot complex issues involving third-party APIs, external data and customer environments.
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Strong knowledge of APIs, systems integrations, data pipelines and end-to-end application workflows.
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Ability to apply first-principles thinking when approaching unfamiliar systems and technical challenges.
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Excellent communication skills, with the ability to work effectively with technical and non-technical stakeholders.
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Experience within a startup or rapidly growing enterprise software company would be an advantage.
Benefits
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Salary: $170k - $250k.
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Equity.
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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
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Lead the technical management of plant control systems, instrumentation, electrical equipment and operational processes.
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Act as the main technical contact for customers, plant teams, technicians, contractors and internal stakeholders.
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Monitor plant performance and respond to power outages, control system faults, equipment failures and other operational issues.
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Lead troubleshooting efforts and coordinate corrective actions to restore safe and reliable operations.
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Complete root cause investigations and develop incident reports, corrective action plans and reliability improvements.
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Support equipment inspections, testing, preventive maintenance, predictive maintenance and lifecycle planning.
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Work with multidisciplinary teams throughout plant commissioning, deployment, maintenance and ongoing operations.
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Review operational data, equipment performance and reliability trends to identify improvement opportunities.
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Ensure operations comply with company policies, customer expectations, safety procedures, regulatory requirements and industry standards.
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Maintain accurate technical procedures, operational reports, maintenance records, investigation findings and compliance documentation.
Skillset
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A bachelor's degree in Engineering with at least 5 years of experience in controls engineering, power generation, plant engineering or industrial operations.
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Strong technical knowledge of control systems, instrumentation, electrical systems, mechanical equipment and plant operations.
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Proven ability to diagnose complex technical issues and deliver practical, long-term solutions.
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Experience completing root cause investigations and implementing corrective and preventive measures.
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Good knowledge of industrial safety standards, regulatory requirements and operational risk management.
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Excellent written and verbal communication skills, including the ability to explain technical concepts clearly.
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Strong organizational skills with the ability to balance multiple priorities and meet operational deadlines.
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Flexibility to provide rotational and emergency support when required.
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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
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Own the end-to-end development of a core finance domain and its supporting technology.
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Design reliable AI agents that finance teams and auditors can understand and trust.
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Develop verification, guardrail, monitoring and evaluation systems for nondeterministic AI.
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Build financial context across transactions, ledgers, contracts, policies and historical decisions.
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Integrate, standardize and reconcile data from ERPs, banks, payroll systems, billing platforms, CRMs and email.
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Create durable and replay-safe workflows across complex stateful enterprise systems.
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Develop secure and fully traceable write-back capabilities for financial systems.
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Work directly with customers to understand finance processes and translate them into production software.
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Contribute to technical decisions across LLM pipelines, infrastructure, backend systems and user experience.
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Use AI coding agents to accelerate development and deliver high-quality production systems.
Skillset
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At least 5 years of software engineering experience focused on backend development or infrastructure.
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Strong programming experience with Python, Go, Java, Rust or another modern backend language.
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The ability to quickly become productive within a Python-based environment.
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Experience building complex backend systems including distributed pipelines, transactional platforms, ledger systems, integrations or workflow engines.
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Previous experience working within an early-stage startup from pre-seed through Series B.
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Ability to work directly with customers and translate operational challenges into scalable software.
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Experience within fintech, accounting, payments, banking, treasury, audit, ERP or compliance technology.
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Experience building production AI agents, evaluation frameworks, verification systems or AI observability platforms.
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Knowledge of data warehouses, financial systems and enterprise integrations.
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Strong system design, product judgment and problem-solving skills.
Benefits
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Salary: $180k - $220k.
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Early-stage equity.
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Full medical, dental and vision coverage.
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A 401(k) contribution match.
Our client, a growing consultancy firm, is hiring a ServiceNow Developer with hands-on implementation experience supporting Legal Service Delivery (LSD) initiatives to join the team remotely on a six-month contract. The successful candidate will configure, develop and enhance ServiceNow solutions supporting legal operations, matter management, request intake, workflows and associated business processes.
Responsibilities
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Configure and develop ServiceNow applications, workflows, catalog items, forms and business rules to support Legal Service Delivery (LSD) processes.
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Implement and customize LSD functionality, including intake forms, routing, approvals, task management and reporting.
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Develop client scripts, business rules, UI policies and script includes in accordance with ServiceNow best practices.
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Participate in requirements-gathering sessions, solution design discussions and iterative development cycles.
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Support testing, defect resolution, release and deployment activities for LSD implementations.
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Create and maintain technical documentation covering platform configurations and customizations.
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Collaborate remotely with project teams, business stakeholders and fellow developers to deliver effective solutions.
Skillset
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ServiceNow Certified System Administrator (CSA).
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Hands-on experience implementing and configuring ServiceNow applications in production or project environments.
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Practical experience with ServiceNow scripting using JavaScript, as well as Flow Designer, Workflow and catalog development.
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Previous experience with Legal Service Delivery, legal operations or related ServiceNow modules and applications.
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Experience with ServiceNow integrations or reporting.
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Additional ServiceNow certifications such as Certified Application Developer (CAD) are desirable.
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Ability to work fully remotely and collaborate effectively as part of a distributed team.
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Strong problem-solving skills with excellent attention to detail.
Our client, a leading transportation organization, is hiring an experienced German-speaking ServiceNow Strategic Portfolio Management (SPM) Business Analyst on a contract basis in Austria. The successful candidate will connect business stakeholders with the ServiceNow platform, translating business requirements into effective SPM solutions and clearly demonstrating their value across the business.
Responsibilities
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Serve as the Business Analyst and subject matter expert for ServiceNow Strategic Portfolio Management (SPM).
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Engage with business and technology stakeholders to understand portfolio, investment, demand, project and strategic planning requirements.
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Analyze business processes and identify opportunities to use ServiceNow SPM's out-of-the-box functionality.
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Translate business requirements into practical, scalable SPM solutions while minimizing unnecessary customization.
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Define and optimize SPM processes, workflows and ways of working.
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Lead stakeholder workshops, clearly communicating SPM capabilities, benefits and best practices.
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Promote the value of ServiceNow SPM, building stakeholder buy-in and supporting adoption across the organization.
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Challenge requirements constructively and demonstrate how existing ServiceNow functionality can address business needs.
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Collaborate with product owners, architects and technical teams to develop clear user stories, acceptance criteria and functional documentation.
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Support backlog prioritization and drive continuous improvement of the SPM platform and associated business processes.
Skillset
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Fluency in German is mandatory.
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Strong hands-on experience as a ServiceNow Business Analyst, with significant expertise in Strategic Portfolio Management (SPM).
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ServiceNow SPM certification or other relevant ServiceNow certifications are highly desirable.
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In-depth knowledge of ServiceNow SPM's out-of-the-box functionality and capabilities.
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Experience across Demand Management, Project Portfolio Management, Investment Planning, Portfolio Planning and Strategic Planning.
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Proven ability to translate business requirements into practical and scalable ServiceNow SPM solutions.
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Strong stakeholder management, workshop facilitation and requirements-gathering skills.
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Ability to clearly communicate and promote the value of SPM to business and technology stakeholders.
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A pragmatic approach to solution design, prioritising out-of-the-box functionality over unnecessary customisation.
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Excellent communication, influencing and interpersonal skills.
Our client, a global consulting organisation, is hiring a Technical Business Analyst to join their team on a contract basis in Dublin. The successful candidate will join a newly established team responsible for transforming how work is delivered through AI and digital assistants, helping to shape the adoption of Microsoft 365 Copilot, Copilot Studio and other AI technologies across the company.
Responsibilities
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Work with internal stakeholders to understand business needs, service challenges and opportunities for improvement.
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Analyse and redesign processes to make effective use of people, AI and automation.
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Identify tasks that can be supported, automated or completed by digital assistants.
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Translate business needs into requirements for Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry and related technologies.
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Map current processes and design practical future-state workflows, including appropriate human oversight.
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Review meeting recordings, transcripts and other unstructured information to identify requirements, decisions and actions.
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Develop use cases, user stories, process maps, acceptance criteria and solution requirements.
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Collaborate with technical teams to design, build and test digital assistants, including the required data sources, integrations, permissions and controls.
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Test solutions with users and refine them based on feedback and performance evidence.
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Support implementation, user adoption and continuous improvement while measuring benefits such as time saved, improved quality and better service delivery.
Skillset
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Proven experience as a Business Analyst, Technical Business Analyst, Process Analyst or equivalent.
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A strong track record of analysing and redesigning business processes, services and workflows.
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Hands-on experience with Microsoft 365 Copilot, Copilot Studio and related technologies, such as Power Platform, Power Automate, SharePoint, Teams or Microsoft Graph.
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Familiarity with Microsoft Foundry or a similar AI development platform.
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Experience translating business challenges into clearly defined automation and digital assistant solutions.
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Strong skills in requirements gathering, process mapping, use-case development and technical documentation.
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Experience designing, testing or implementing digital assistants within service delivery or operational teams is a plus.
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Confidence working with meeting transcripts, unstructured data and organisational knowledge sources.
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A solid understanding of data access, systems integration, user permissions, privacy and information security is a bonus.
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Strong analytical, facilitation and stakeholder-management capabilities.