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Our client, an innovator in the eCommerce industry, is hiring a Lead Machine Learning Engineer to join their New York team remotely. The successful candidate will play a pivotal role in shaping the future of their marketplace by developing intelligent, data-driven products that enhance user experience and fuel business growth. This includes optimising search and ranking, building impactful recommendation models and developing scalable systems that serve millions of users.
Responsibilities-
Lead the design, development and deployment of scalable machine learning models across key domains such as search relevance, advertising, pricing and recommendations.
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Architect and implement robust, production-ready pipelines and REST APIs to deliver models at scale.
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Partner closely with product managers, engineers and cross-functional stakeholders to translate business requirements into effective technical solutions.
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Explore, prototype and assess new algorithms and emerging technologies to drive continuous innovation.
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Take full ownership of machine learning initiatives, from ideation and data analysis through to deployment, monitoring and ongoing optimization.
Skillset-
At least 5 years of hands-on experience developing and deploying machine learning models in production environments.
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Deep knowledge of core ML techniques, including classification, regression, ranking and recommendation systems.
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Proficiency in Python and modern ML frameworks such as Scikit-learn, TensorFlow or PyTorch.
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Strong software engineering fundamentals, with experience building production-grade services and REST APIs.
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Practical experience working with cloud platforms such as AWS, GCP or Azure.
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Exposure to Large Language Models (LLMs) and their use in search, recommendations, or related applications is a big plus.
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Familiarity with MLOps tools and practices, including platforms like MLflow or Kubeflow.
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Experience working within e-commerce or online marketplace environments is a bonus.
Benefits-
Salary: $160,000–$200,000 DOE
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Equity.
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Comprehensive benefits package.
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Remote working options.
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Our client, an AI-driven organisation, is hiring a hands-on Head of Engineering to lead their growing Irish operations. The successful candidate will own the full engineering lifecycle and work closely with product and research leaders to transform ambitious AI visions into scalable, resilient platforms that deliver exceptional customer value.
Responsibilities-
Shape and advance the engineering strategy, ensuring it aligns with company objectives and supports AI-driven product innovation.
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Lead architecture, delivery, security, quality and overall operational excellence across all engineering teams.
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Mentor and empower engineering leaders, promoting a collaborative, inclusive and high-performing culture.
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Enhance processes and champion best practices in DevOps, ML Ops and secure, scalable development.
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Ensure timely and cost-effective delivery while maintaining a strong emphasis on scalability, performance and long-term sustainability.
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Partner closely with product and research teams to bring sophisticated AI capabilities from concept to market.
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Cultivate a culture grounded in trust, accountability, continuous improvement and responsible innovation.
Skillset-
A proven track record of leading engineering organisations through startup-to-scale growth.
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Deep technical knowledge spanning modern software engineering, AI/ML architecture, cloud environments and platform development.
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Strong, inspirational leadership with the ability to mentor and empower diverse, globally distributed teams.
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Demonstrated ability to design and deliver scalable, secure and highly reliable systems.
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Hands-on expertise in DevOps, ML Ops and continuous delivery methodologies.
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Exceptional strategic thinking, communication abilities and cross-functional collaboration skills.
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A genuine commitment to ethical, responsible innovation and sustainable long-term growth.
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Our client, a leading IT Consulting firm, are hiring a ServiceNow ITOM/Azure Monitoring Engineer to join their team remotely on a 3 to 6-month contract. The successful candidate will be responsible for monitoring and supporting applications in the Azure Cloud and integrating monitoring data with ServiceNow ITOM.
Responsibilities-
Define and implement standards for monitoring and supporting Azure applications using SCOM, Azure Monitor and other relevant tools.
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Design, deploy and manage synthetic and application performance monitoring solutions.
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Establish monitoring baselines for Azure SaaS, PaaS and IaaS to facilitate efficient troubleshooting and issue resolution.
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Integrate Azure Monitor alerts with ServiceNow ITOM to ensure prompt incident response.
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Develop and maintain monitoring and reporting dashboards for visibility into application and infrastructure health.
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Collaborate with cross-functional teams to diagnose and resolve complex application and infrastructure issues.
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Provide technical support for cloud-based applications and services.
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Document monitoring processes, procedures and troubleshooting workflows for consistency and knowledge sharing.
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Continuously enhance monitoring and support processes through automation, optimization and best practices.
Skillset-
Bachelor’s degree in Computer Science, IT or similar.
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Proven experience with SCOM and Azure Monitor for application and infrastructure monitoring.
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Strong expertise in Azure IaaS, PaaS and SaaS environments.
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Relevant Microsoft Azure certifications (e.g. Azure Administrator, Azure Solutions Architect) are advantageous.
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Experience integrating monitoring solutions with ServiceNow event management.
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Ability to create and maintain monitoring and reporting dashboards.
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Familiarity with Splunk for log analysis is highly desirable.
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Experience with scripting and automation tools.
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Strong communication and interpersonal skills.
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Our client, an AI-focused FinTech company, is hiring a Senior Backend Engineer to join their team in Manhattan, New York. The successful candidate will take the lead for core systems, from owning the overall architecture and building systems that are low-latency, resilient and cost-efficient.
Responsibilities-
Design, build and maintain backend services that are high-performance, resilient and easy to scale.
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Define service boundaries, data models and API contracts to enable independent team development.
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Set performance benchmarks and SLOs, designing systems for durability and graceful degradation under load.
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Lead technical design reviews and mentor engineers on best practices in code quality, testing, and operations.
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Take ownership of critical systems, including queue orchestration (Temporal), caching (Redis) and infrastructure automation.
Skillset-
Proven expertise building Node.js/TypeScript services.
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Experience with Go in production is a plus.
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Solid grasp of memory management, distributed systems, durable execution and edge computing.
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Hands-on experience with Temporal (or similar durable workflow systems) and Redis at scale.
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Comfortable deploying and operating services in modern cloud environments with strong observability practices.
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Familiarity with LLM integrations and their operational considerations is a plus.
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Strong communication and decision-making skills.
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Ability to make both high-level architecture and detailed code design decisions.
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Experience working with agentic or LLM-driven workflows is a bonus.
Benefits-
Salary: $150K–$200K
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Equity.
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Health, dental and vision insurance.
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401k with 3% automatic contribution.
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Our client, an award-winning AI-driven company focused in the Legal sector, are hiring a Backend Engineer to join the team remotely. The successful candidate will collaborate with cross-functional teams to build and maintain the company’s backend on Azure and AWS, from writing clean, scalable code, prototyping features and mentoring fellow engineers.
Responsibilities-
Work closely with product and client-facing teams to improve and expand their web application and Microsoft Add-In.
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Architect, optimize and maintain backend systems on Azure and AWS, prioritizing scalability, security and accessibility.
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Develop clean, well-structured and maintainable code that supports critical platform features.
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Research, prototype and evaluate new approaches to feature development, providing technical guidance for product decisions.
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Stay up-to-date with emerging technologies to keep the organization at the forefront of innovation.
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Collaborate effectively across engineering, product, sales, and customer success teams.
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Provide mentorship and leadership to junior engineers.
Skillset-
Bachelor’s degree in Computer Science or similar.
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At least 3 years of professional software development experience.
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Strong expertise hands-on Python programming.
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Proficient in using Docker and containerization for scalable application deployment.
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Proven experience working with AWS, Azure or Google Cloud services.
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Strong understanding of file/blob storage systems and NoSQL databases, particularly in AWS or Azure.
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Experience with test automation frameworks such as Pytest, Jest or Cypress.
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Proven ability to manage complex projects and work effectively in Agile environments.
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Excellent communication skills for both technical and non-technical audiences.
Benefits-
Salary: $120K–$130K
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Equity.
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Remote working.
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Our client, a cutting-edge AI-driven FinTech company, is hiring a Backend Engineer to join their team in Manhattan, New York. The successful candidate will design, build and iterate on exciting products end-to-end, working across React/Next on the frontend and Node/Typescript on the backend, taking features from initial concept all the way to production.
Responsibilities-
Rapidly translate customer pain points into fully realized, high-impact features.
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Ship and iterate on frontend, backend and infrastructure components, prototyping quickly and hardening for production.
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Enhance developer experience, code quality and system observability.
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Shape product direction and contribute to the roadmap using data and user feedback.
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Make informed architectural and coding decisions, balancing speed, scalability and reliability.
Skillset-
Bachelor’s degree in Computer Science, Engineering or similar.
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Minimum of two years of experience in software engineering, with a focus on backend systems.
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Proficient in Typescript across the stack.
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Experience building seamless experiences with React/Next on the frontend and Node on the backend.
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Ability to deliver real value by crafting intuitive UX and designing APIs that simplify the user experience.
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Experience with LLM integrations and deploying applications in the cloud.
Benefits-
Salary: $100K–$200K DOE
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Equity.
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Health, dental and vision insurance.
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401k with 3% automatic contribution.
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Our client, an AI-driven organization, is hiring an AI Engineer to join their growing team in Massachusetts. The successful candidate will be responsible to design, develop and implement AI-driven solutions that enhance efficiency, sustainability and performance across their technology platforms.
Responsibilities-
Design, develop and deploy AI systems and tools within the organization’s software ecosystem.
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Research, architect and prototype innovative AI/Machine Learning solutions to solve real-world problems.
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Communicate AI insights and best practices across multidisciplinary teams, including software, engineering and business functions.
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Partner with subject matter experts to define, refine and evaluate AI problem statements and performance metrics.
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Manage the complete AI development lifecycle - from data preparation and model creation to deployment, monitoring and ongoing optimization.
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Collaborate seamlessly with a remote, globally distributed team operating across multiple time zones.
Skillset-
Bachelor’s degree or higher in Computer Science, Data Science or similar.
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At least 3 years of experience developing Reinforcement Learning (RL) solutions, or working with LLMs and RAG implementations.
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Strong software development experience with strong proficiency in Python, including NumPy and PyTorch.
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Demonstrated ability to process and analyze complex, real-world datasets.
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Hands-on experience with IoT and time-series data.
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Practical experience with AWS, Docker, or similar cloud/container technologies.
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Solid understanding of MLOps practices and workflows.
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Familiarity with AI-driven industrial process control applications.
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Working knowledge of Test-Driven Development (TDD) principles.
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Proven experience collaborating with distributed, global teams.
Benefits-
Salary: $150k
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Equity.
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ServiceNow ITOM Technical Consultant
Location: Remote (CET + 2 time zone)
Contract Duration: 3 Months (with potential extension)
Start Date: ASAP
Our client, a leading Banking organization, are hiring an experienced ServiceNow ITOM Technical Consultant to join their team on a 3-month remote contract. The successful candidate will be responsible for working closely with technical teams, stakeholders and ServiceNow platform owners to design, configure and implement ITOM capabilities, ensuring alignment with best practices and business goals.
Responsibilities- Implement, configure and customize the ServiceNow ITOM suite, including Discovery and Service Mapping, Event Management, Cloud Management / Orchestration and Operational Intelligence.
- Integrate ITOM with other ServiceNow modules such as ITSM, ITAM and CMDB.
- Develop and maintain Discovery patterns, probes and sensors.
- Ensure CMDB data integrity and normalization.
- Troubleshoot technical issues and provide subject matter expertise on ITOM capabilities.
- Collaborate with ServiceNow architects, developers and client stakeholders to translate business needs into technical solutions.
- Deliver documentation, configuration guides and operational handover materials.
Skillset- At least 3 years of hands-on ServiceNow ITOM implementation experience.
- Strong technical background in ServiceNow Discovery, Service Mapping and Event Management.
- ServiceNow certifications such as Certified Implementation Specialist – ITOM and/or ServiceNow System Administrator are a bonus.
- Proven experience with CMDB data modeling, reconciliation and maintenance.
- Familiarity with cloud and infrastructure environments (AWS, Azure, VMware).
- Scripting experience using JavaScript, PowerShell or Python.
- Excellent troubleshooting, communication and stakeholder management skills.
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ServiceNow ITOM Technical Consultant
Location: Remote (CET + 2 time zone)
Contract Duration: 3 Months (with potential extension)
Start Date: ASAP
Our client, a leading banking organisation, is hiring an ITOM Technical Consultant to join their team on a 3-month remote contract. The successful candidate will play a hands-on role in delivering high-quality IT Operations Management (ITOM) solutions across the full suite of ServiceNow modules. This role involves close collaboration with technical teams, stakeholders, and ServiceNow platform owners to design, configure and implement robust ITOM capabilities.
Responsibilities-
Implement, configure and customize the ServiceNow ITOM suite, including Discovery and Service Mapping, Event Management, Cloud Management / Orchestration and Operational Intelligence.
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Integrate ITOM with other ServiceNow modules (e.g. ITSM, ITAM, CMDB).
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Develop and maintain Discovery patterns, probes and sensors.
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Ensure CMDB data integrity and normalization.
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Troubleshoot technical issues and provide subject matter expertise on ITOM capabilities.
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Collaborate with ServiceNow architects, developers and client stakeholders to translate business needs into technical solutions.
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Deliver documentation, configuration guides and operational handover materials.
Skillset-
At least 3 years of hands-on ServiceNow ITOM implementation experience.
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Strong technical background in ServiceNow Discovery, Service Mapping and Event Management.
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ServiceNow certifications such as Certified Implementation Specialist – ITOM, ServiceNow System Administrator are a big plus.
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Proven experience with CMDB data modeling, reconciliation and maintenance.
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Familiarity with cloud and infrastructure environments (AWS, Azure, VMware, etc.)
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Scripting experience using JavaScript, PowerShell or Python.
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Excellent troubleshooting, communication and stakeholder management skills.
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Enterprise & Solution Architects
Location: Dublin (Hybrid)
Duration: 6–12 Months
Day Rate: Competitive
Our client, a leading management consulting practice, are hiring experienced Enterprise and Solution Architects to join their network of consultants on a contract basis. The successful candidate will have the opportunity to work with some of Ireland’s most recognised brands across sectors - such as Financial Services, Public Sector, Technology, Pharma and Utilities - helping shape their strategic technology landscapes and solution roadmaps.
Responsibilities-
Lead the design and delivery of enterprise and solution architectures aligned with business and technology strategy.
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Engage with senior stakeholders to define architecture principles, frameworks and standards.
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Translate business requirements into scalable, secure and efficient technical solutions.
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Provide architectural governance and assurance across multiple project workstreams.
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Collaborate with delivery teams, ensuring successful implementation of architecture designs.
Skillset-
Proven experience as an Enterprise Architect or Solution Architect within large-scale, complex organisations.
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Strong background in architecture frameworks (e.g. TOGAF, Zachman or equivalent).
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Experience across a range of domains such as Application, Data, Integration, IT, OT, Network or Cloud Architecture (Azure / AWS / GCP).
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Excellent stakeholder management and communication skills.
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Ability to work independently in fast-paced, client-facing environments.
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Based in Dublin or willing to work on-site with clients in the greater Dublin area.
Note: All applicants must have either a Stamp4, Stamp 1G or EU/UK Passport. -
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Our client, an AI-driven SaaS startup, is hiring a Staff Software Engineer to join their team in New York. The successful candidate will tackle complex technical challenges in a true greenfield environment, playing a key role in shaping the company’s foundational infrastructure from day one, including ownership over architecture, tooling and their long-term technical direction.
Responsibilities-
Architect and implement full-stack features for their AI-driven SaaS platform.
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Design and build core backend systems, data models, APIs and infrastructure focused on scalability, performance and maintainability.
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Translate business and product objectives into clear technical strategies, making impactful design decisions in ambiguous or evolving contexts.
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Develop intuitive frontend experiences that present complex AI and contract insights in clear, actionable ways.
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Partner closely with the Head of Engineering and product teams to define priorities and deliver exceptional outcomes.
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Take full ownership of projects, from initial design and development through deployment, monitoring and iteration.
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Champion engineering best practices and contribute to shaping a strong, collaborative technical culture as the team grows.
Skillset-
At least 8 years of professional software engineering experience, with a strong track record in system architecture and technical ownership.
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Demonstrated ability to design and build complex backend systems or distributed services, ideally in greenfield environments.
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Proficient in Node.js, Go or Python, and experienced with modern frontend frameworks such as React or TypeScript.
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Skilled in cloud infrastructure, CI/CD pipelines and infrastructure-as-code practices.
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Strong system design expertise with the ability to evaluate trade-offs and architect scalable distributed systems.
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Hands-on experience developing agentic AI systems or LLM-powered applications is a bonus.
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Background in legal tech or B2B SaaS is a plus.
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Exceptional communication skills with ability to clearly articulate and defend architectural choices.
Benefits-
Salary: $180k - $200k
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Early-stage equity.
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Comprehensive benefits package.
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Our client, an AI-driven SaaS startup, is hiring a Senior Software Engineer to join their growing team in New York. The successful candidate will be responsible to design, build and scale both frontend and backend systems that power innovative AI products.
Responsibilities-
Collaborate with cross-functional teams to define requirements, design solutions, prototype concepts and deliver new features.
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Architect, develop and maintain high-performance, scalable web applications.
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Implement responsive design principles to ensure seamless user experiences across all devices.
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Develop clean, modular code and well-structured interfaces to support integration-heavy systems.
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Diagnose, troubleshoot and resolve complex technical issues across the stack.
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Contribute to code reviews to maintain high-quality standards and promote knowledge sharing.
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Stay ahead of emerging technologies and industry trends to continuously enhance product performance and innovation.
Skillset-
Demonstrated experience as a Full Stack Developer with a solid portfolio of web-based applications.
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Expertise in ReactJS, TypeScript and modern server-side technologies.
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Strong knowledge of RESTful APIs, asynchronous programming and scalable application architecture.
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Proficient in Git and collaborative version control workflows.
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Hands-on experience working with generative AI APIs, embeddings, streaming outputs or tool calling is a plus.
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Familiarity with DevOps practices, including CI/CD pipelines, container orchestration and cloud-based infrastructure.
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Exceptional problem-solving abilities with strong communication and teamwork skills.
Benefits-
Salary: $160k - $200K DOE
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Comprehensive health, dental and vision insurance.
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401(k) with employer match.
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Remote working options.
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Our client, a IT Solutions organization, is hiring a Senior Splunk Engineer to join the team in Virginia on a contract basis. The successful candidate will play a key role in developing secure, scalable, and resilient enterprise Splunk environments in support of critical national security initiatives.
Responsibilities- Design, implement and maintain enterprise-scale Splunk environments, integrating CI/CD methodologies for streamlined automation.
- Leverage Terraform, Ansible and GitLab to build repeatable, scalable infrastructure deployments.
- Oversee Splunk upgrades and manage core components including Indexers, Search Heads and Universal Forwarders across distributed environments.
- Ingest, normalize and optimize a wide range of data sources - such as Syslog, HTTP Event Collector (HEC), and APIs - to maximize performance and minimize license impact.
- Develop and maintain standard operating procedures (SOPs), technical documentation, user guides and custom dashboards to support mission-critical analytics.
- Implement and maintain security hardening measures, including SSL configuration, STIG compliance and RHEL patching.
- Work closely with DevOps, Cloud and Security teams to deliver real-time security analytics using Splunk Enterprise Security (ES) and User Behavior Analytics (UBA).
- Act as a trusted technical liaison, collaborating directly with end users, analysts and government stakeholders to drive Splunk adoption and optimize system performance.
Skillset- Active Top Secret/SCI (CI Poly preferred or ability to obtain) is a must.
- Minimum of 3 years of hands-on experience with Splunk Enterprise, including deployments, upgrades, and data ingestion/onboarding.
- Proficient in Linux (RHEL/CentOS) and Windows systems administration.
- Skilled in Infrastructure-as-Code using Terraform and Ansible for automated deployments.
- Strong scripting abilities with Python or Bash for automation and operational efficiency.
- Deep understanding of Splunk configuration files such as inputs.conf, props.conf and transforms.conf.
- Proven experience managing clustered Splunk environments on both bare metal and virtualized infrastructure.
- Splunk Certified Administrator required; Splunk Certified Architect preferred or in progress.
- Possession of CompTIA Security+ or other DoD 8570 IAT II compliant certification.
- Outstanding written and verbal communication skills, with the ability to thrive in a collaborative, agile environment.
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Our client, a venture-backed AI startup, is hiring a Principal Front-End / Full Stack Engineer to join the team remotely. The successful candidate will lead the architecture and development of the user-facing platform, serve as the technical authority on front-end and middleware solutions, and guide the engineering team while shaping the overall product experience.
Responsibilities- Lead the architecture, design and implementation of their front-end platform, ensuring scalability, reliability and exceptional user experiences.
- Develop high-quality, maintainable full-stack code, integrating modern front-end technologies with AI/ML capabilities.
- Provide technical leadership and mentorship to the engineering team, promoting a culture of growth and best practices.
- Partner with product, design, and business teams to transform user requirements into intuitive, impactful technical solutions.
- Continuously enhance engineering processes, code quality, and front-end performance.
Skillset- At least 8 years of full-stack web development, including 5 years building complex front-end systems.
- Proven track record architecting advanced front-end and middleware solutions.
- Expertise in React, Next.js, modern CSS-in-JS and responsive design principles.
- Experience integrating with back-end services and AI/ML APIs (e.g. OpenAI, Anthropic, LlamaIndex).
- Comfortable translating Figma designs into functional interfaces and working with tools like Cursor or Windsurf.
- Deep understanding of LLM APIs, prompt engineering, and AI workflow design.
- Strong communication skills, able to explain complex technical concepts clearly.
- Experience mentoring engineers, with a focus on front-end best practices.
- Experience deploying AI/ML applications to cloud platforms is a plus.
Benefits- Competitive salary and equity.
- Fully remote working.
- Comprehensive healthcare coverage.
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Our client, a venture-backed AI SaaS startup, is hiring a Staff Software Engineer to join their team in New York. The successful candidate will have the opportunity to work within a small, product-driven team, tackling complex technical challenges in a greenfield environment and building foundational systems from the ground up.
Responsibilities-
Architect and develop full-stack features for the company’s AI-powered SaaS platform.
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Design core backend systems, data models, APIs and infrastructure with an emphasis on scalability, performance and maintainability.
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Translate business and product objectives into clear technical plans and make high-impact design decisions in ambiguous or evolving contexts.
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Build frontend components that present complex AI and contract insights in an intuitive and user-friendly way.
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Collaborate closely with the Head of Engineering and product stakeholders to define priorities and deliver effectively.
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Take full ownership of your work from planning through deployment and monitoring.
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Help establish engineering best practices and contribute to shaping team culture as they scale.
Skillset-
At least 8 years of professional software engineering experience, with a proven track record in system architecture and technical ownership.
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Demonstrated ability to design and build complex backend systems or distributed services, especially in greenfield projects.
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Proficiency with backend technologies such as Node.js, Go or Python, and modern frontend frameworks like React or TypeScript.
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Experience with cloud infrastructure, CI/CD pipelines and infrastructure-as-code practices.
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Strong system design skills, with the ability to evaluate and reason about architectural trade-offs.
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Hands-on experience building agentic AI systems or applications powered by large language models (LLMs) is a bonus.
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Experience in legal technology or B2B SaaS is a plus.
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Excellent communication skills, capable of explaining and defending architectural decisions.
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Self-motivated and effective in fast-paced, high-trust environments with a high degree of autonomy.
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