Alldus has a wide range of AI Engineer Jobs listed below. Search the latest AI Engineer Jobs today.
Remember you can always sign up for job alerts and get the latest AI Engineer Jobs sent straight to your inbox. It’s easy and quick simply click here to get started.
-
Our client, a leading telecommunications company, are hiring a Senior ServiceNow Developer with Workspace & AI Integration expertise to join their team remotely on a contract basis. The successful candidate will contribute to the development of a next-generation, AI-enabled enterprise platform, helping to shape how ServiceNow integrates with intelligent backend systems to enable seamless interaction between users, workflows and AI-powered services.
Responsibilities-
Design, develop and customize ServiceNow Workspaces, including UI Builder, Agent Workspace, CSM Workspace and configurable workspace solutions.
-
Build bespoke UI components and deliver enhanced user experiences within Workspace frameworks.
-
Integrate ServiceNow with external APIs and AI-driven services.
-
Develop and maintain Flow Designer workflows, business rules and automation logic.
-
Collaborate closely with backend engineers delivering Python-based AI and data services.
-
Design and implement end-to-end workflows across multiple enterprise systems.
-
Support real-time data processing and event-driven architectures.
-
Ensure all solutions are scalable, high-performing, and maintainable.
Skillset-
Extensive experience as a Senior ServiceNow Developer.
-
Strong hands-on expertise with ServiceNow Workspaces and UI Builder.
-
Proven experience with Agent Workspace, CSM Workspace or configurable workspace development.
-
Strong ServiceNow scripting skills, including JavaScript and Glide APIs.
-
Solid experience with Flow Designer and end-to-end workflow automation.
-
Experience integrating ServiceNow with external APIs (REST, with GraphQL preferred).
-
Strong understanding of enterprise data models and process design principles.
-
Experience working within Agile delivery environments.
-
Exposure to AI/LLM integrations within ServiceNow or broader enterprise platforms.
-
Familiarity with event-driven architectures and real-time data pipelines.
-
-
Our client, a leading telecommunications company, are hiring a ServiceNow AI Engineer to join their team in Colorado on a contract basis. The successful candidate will support the development of next-generation AI-enabled workflows and enterprise automation on the ServiceNow platform, focusing on scalable backend services, integration of modern AI capabilities and intelligent orchestration across enterprise systems.
Responsibilities-
Design and implement high-performance ServiceNow integrations, AI-driven workflows and automation systems.
-
Build AI-powered automation solutions within the ServiceNow platform.
-
Develop and maintain ServiceNow APIs, workflows and integration logic.
-
Implement AI capabilities including embeddings, RAG pipelines, and knowledge retrieval systems.
-
Develop knowledge graphs and embedding-based semantic search capabilities.
-
Integrate ServiceNow with vector databases and knowledge graph technologies.
-
Enable real-time data integration across distributed enterprise systems.
-
Design and implement secure access models using OAuth 2.0 (scopes and claims).
-
Work with REST and GraphQL APIs, including complex JSON transformations.
-
Collaborate on ServiceNow architecture, system design, scalability and AI strategy.
Skillset-
Extensive experience with ServiceNow development and system integrations.
-
Strong senior-level experience in Python development.
-
Strong experience in API development, including REST and GraphQL.
-
Experience designing and building AI-enabled systems, including LLMs, embeddings, and RAG pipelines.
-
Strong knowledge of vector databases and semantic search architectures.
-
Experience with knowledge graphs and graph-based data modelling.
-
Experience with streaming data processing and message queue technologies (e.g. Kafka or similar).
-
Strong understanding of OAuth 2.0, including scopes, claims and secure access models.
-
Experience with CI/CD automation using GitLab and Kubernetes-based deployments.
-
Strong object-oriented design and system architecture capabilities.
-
-
Our client, a global AI and Data organisation, are hiring a AI Solution Architect to join their growing team in Dublin, Ireland. The successful candidate will join the company as they scale their AI capability and be responsible to help design, govern and build out their AI infrastructure.
Responsibilities-
Design and architect AI solutions across the organisation.
-
Contribute to the Architecture Review Board, influencing key decisions.
-
Lead security reviews and establish robust reference architectures.
-
Support engineering teams building AI infrastructure.
-
Partner directly with clients to understand requirements and deliver solutions.
Skillset-
Strong cloud engineering experience (Azure or AWS).
-
Proven system design and disaster recovery expertise.
-
Confident in client-facing environments with ability to translate technical detail clearly.
-
Experience working across multiple teams and projects in dynamic environments.
Benefits-
Competitive salary.
-
Performance bonus.
-
Comprehensive benefits package.
-
Hybrid working - 3 days onsite, 2 days remote.
-
-
Our client, a global AI and Data organisation, are hiring an AI Lead to join their growing AI Innovation Lab in Dublin, Ireland. The successful candidate will play a key role in shaping the platform, selecting the right technologies and leading teams to deliver AI solutions into production.
Responsibilities-
Take ownership of the AI platform architecture and its ongoing development.
-
Assess and select best-in-class AI tools and technologies.
-
Lead solution teams delivering and integrating AI across the business.
-
Establish standards, best practices and governance frameworks.
-
Oversee AI agent orchestration, monitoring and continuous optimisation.
Skillset-
At least 7 years of experience in software engineering.
-
Strong proficiency in Python, with experience using LangChain and LangGraph.
-
Solid understanding of Docker and cloud architecture (AWS preferred; Azure or GCP also considered).
-
Hands-on experience with Generative AI technologies and prompt engineering.
-
Proven track record of building and delivering enterprise-grade applications.
Benefits-
Competitive salary.
-
Performance bonus.
-
Comprehensive benefits package.
-
Hybrid working - 3 days onsite, 2 days remote.
-
-
Our client, a global AI and Data organisation, are hiring a Senior Front End Engineer to join their team in Dublin. The successful candidate will design and build intuitive, high-performance user interfaces for enterprise Data & AI solutions, combining front-end engineering with UX design to create seamless, scalable and visually engaging experiences for complex analytics and AI applications.
Responsibilities-
Design and develop responsive, user-friendly web interfaces using modern front-end technologies, including React.js.
-
Build reusable and scalable UI components that integrate seamlessly with backend services.
-
Optimise performance, ensure cross-browser compatibility and maintain accessibility standards.
-
Translate Figma or other design prototypes into functional, polished UI elements.
-
Apply user-centered design principles to simplify complex workflows and enhance usability.
-
Implement data visualisations for large and complex datasets.
-
Leverage AI-assisted development tools and collaborative platforms, such as Replit, to accelerate delivery.
-
Contribute to innovation initiatives and rapid prototyping of new features.
Skillset-
Minimum of 5 years’ experience in UI or front-end development.
-
Proficient in React.js, JavaScript/TypeScript, HTML5 and CSS3.
-
Experienced with UI frameworks such as Tailwind, Bootstrap and Material UI.
-
Strong understanding of UI/UX principles and hands-on experience implementing Figma designs.
-
Skilled in working with APIs, microservices and integrating UI with backend systems.
-
Solid knowledge of front-end build tools, CI/CD pipelines and version control systems.
-
Experience with data visualization libraries including D3.js, Recharts and Chart.js is a plus.
-
Familiarity with analytics or AI platforms is a bonus.
-
Working knowledge of cloud platforms such as AWS, Azure and GCP is an advantage.
Benefits-
Salary: €90k - €110k.
-
Generous bonus.
-
Private healthcare and Life assurance.
-
Pension scheme.
-
Flexible hybrid working model.
Interested? Contact kylec@alldus.com to learn more.
**Please Note** Applicants must have the right to work in the Republic of Ireland. Sponsorship is not offered by our client. -
-
Our client, a global AI and Data organisation, are hiring a Senior Full Stack Engineer to join their team in Dublin. The successful candidate will design, develop and maintain full-stack applications, including AI agent solutions, APIs and microservices, as well as implement real-time monitoring systems and deliver enterprise-grade solutions.
Responsibilities- Design, build and maintain full-stack applications using Python (backend) and React.js (frontend).
- Contribute to technical direction and strategy across all development phases.
- Develop AI agent solutions, including orchestration, workflow management and decision-making systems.
- Implement APIs and microservices to support AI agent communications and data exchange.
- Create real-time features for agent monitoring, logging and performance tracking.
- Troubleshoot and resolve technical issues across the full stack.
- Write clean, secure and maintainable code.
- Uphold software quality standards and mentor team members.
- Operate in an agile/DevOps environment with CI/CD pipelines.
- Explore and leverage AI tools to enhance innovation, efficiency and quality across the software development lifecycle.
Skillset- Bachelor’s or Master’s degree in Engineering or similar.
- Minimum 5 years of experience in application development and support.
- Proficient in Python with experience in frameworks such as FastAPI, Django or Flask.
- Advanced React.js skills, including hooks, Redux/Context API and TypeScript/JavaScript.
- Experience designing RESTful APIs and working with AI/ML libraries (e.g. LangChain, OpenAI API, Bedrock).
- Familiarity with cloud platforms (AWS, Azure, GCP), containerisation (Docker, Kubernetes) and infrastructure-as-code (Terraform/CDK).
- Strong grasp of algorithms, data structures and design patterns.
- Hands-on experience with CI/CD pipelines and automation.
- Excellent communication and collaboration skills.
Benefits-
Salary: €90k - €110k.
-
Generous bonus.
-
Private healthcare and Life assurance.
-
Pension scheme.
-
Flexible hybrid working model.
Interested? Contact kylec@alldus.com to learn more.
**Please Note** Applicants must have the right to work in the Republic of Ireland. Sponsorship is not offered by our client. -
Our client, a global AI and Data Organisation, are hiring a Senior DevOps Engineer to join their growing engineering team in Dublin. The successful candidate will be responsible for designing, automating and managing secure, scalable cloud-native infrastructure and CI/CD pipelines, which will help stream development workflows, optimise deployment strategies and drive operational excellence.
Responsibilities-
Design, build and manage cloud infrastructure on AWS, Azure or GCP.
-
Develop and maintain CI/CD pipelines using tools such as Jenkins, CloudBees and GitHub Enterprise.
-
Automate infrastructure deployment using Terraform and Terragrunt.
-
Implement robust monitoring and observability frameworks, including CloudWatch, Datadog and Prometheus.
-
Collaborate with development teams to optimise DevOps processes and deployment workflows.
-
Manage containerised environments using Docker and Kubernetes (K8s).
-
Develop automation scripts using Python and Bash.
-
Ensure secure and scalable environments by following best practices in IAM, security and compliance.
-
Integrate code quality and security tools such as SonarQube, Fortify, Prisma Cloud and Qualys.
-
Manage the artifact lifecycle using JFrog Artifactory.
Skillset-
At least 5 years of experience in application development and support.
-
Strong knowledge of cloud platforms such as AWS, Azure or GCP.
-
Practical experience with containerisation technologies, including Docker and Kubernetes.
-
Experience using Infrastructure-as-Code tools such as Terraform or CDK.
-
Proficiency in scripting and automation.
-
Solid understanding of DevOps practices and secure system design principles.
-
Experience with monitoring, logging and observability tools.
-
Relevant cloud certifications (e.g. AWS, Azure, or GCP DevOps Engineer, Solutions Architect or Security Specialty) is a bonus.
Benefits-
Salary: €90k - €110k.
-
Generous bonus.
-
Private healthcare and Life assurance.
-
Pension scheme.
-
Flexible hybrid working model.
Interested? Contact kylec@alldus.com to learn more.
**Please Note** Applicants must have the right to work in the Republic of Ireland. Sponsorship is not offered by our client. -
-
Our client, a global data and AI organisation, are hiring a Senior AI Engineer to join their growing team in Dublin. The successful candidate will design, build, and ship production AI systems within a fast-moving AI innovation team alongside data scientists, backend engineers, and delivery leads.
Responsibilities-
Build production-grade AI agent systems end to end, from design to deployment to ongoing support.
-
Design agentic workflows with checkpoints, approvals, safe retries and human-in-the-loop steps.
-
Architect agents that plan, use tools, manage memory and escalate when needed.
-
Build retrieval systems using vector search, reranking, and context assembly for grounded responses.
-
Create evaluation frameworks: offline test sets, regression gates, and live monitoring.
-
Instrument full observability across agent runs, including cost, latency, and failure tracking.
-
Build backend services in Python (FastAPI), working with Postgres, event-driven patterns and production APIs.
-
Deploy using Docker, Kubernetes and CI/CD pipelines.
-
Collaborate across teams to turn business problems into working AI solutions.
Skillset-
Minimum of 4 years in software engineering, applied ML or applied AI.
-
Strong Python skills with solid engineering practices (testing, code review, version control).
-
Experience building LLM-powered applications in production.
-
Hands-on experience with agentic frameworks (e.g. LangChain, LangGraph, CrewAI, LlamaIndex).
-
Experience with vector databases and retrieval systems (e.g. Pinecone, Weaviate, FAISS, Chroma).
-
Understanding of agent patterns e.g. ReAct, multi-agent systems, tool use, planning.
-
Cloud deployment experience on AWS, Azure or GCP.
-
Production mindset with experience in monitoring, governance, automated testing, operational readiness.
-
Familiarity with agentic coding tools (Cursor, Claude Code, GitHub Copilot).
Benefits-
Salary: €93k - €110k + Bonus.
-
Private healthcare.
-
Life assurance and income protection.
-
Strong pension.
Interested?
Reach out to kyle@alldus.com to find out more. -
-
Our client, a growing AI company, are hiring a Founding Data Engineer to join their team in New York. The successful candidate will establish and own the organisation’s data function from the ground up, spanning everything from instrumentation to infrastructure, and defining how data is captured, modelled, and leveraged to inform product and growth decisions.
Responsibilities-
Review and assess existing PostHog telemetry, event tracking and user behaviour.
-
Design scalable data models with robust metadata structures.
-
Build and take ownership of data infrastructure, warehousing and pipelines.
-
Identify and define key metrics (e.g. activation, engagement quality, power users).
-
Develop executive-ready dashboards that drive real usage and decisions.
-
Evaluate and select core data tools and technologies.
-
Collaborate with growth engineering to design tracking frameworks and instrumentation.
Skillset-
Over 6 years of experience in data engineering or analytics engineering.
-
Proven ability to operate autonomously, ideally as a first data hire.
-
Advanced SQL skills and experience with modern data platforms (e.g. Snowflake, BigQuery, Databricks).
-
Strong track record of building pipelines, schemas and data infrastructure from scratch.
-
Strong product intuition with clear commercial awareness.
-
Ability to distinguish signal from noise and communicate insights effectively.
-
Experience with activation modelling, conversion analysis, and A/B testing.
-
Experience in SaaS, web analytics or product-led growth environments.
Benefits-
Salary: $170k - $240k.
-
Medical, vision and dental insurance.
-
401(k).
-
Childcare support.
-
-
Staff Data Engineer
Location: Remote
Are you tired of being kept in a restricted creative box with limited autonomy to push boundaries and ideas to solve problems with Data products?
Or not seeing your work directly impact the companies mission?
If so , my HealthTech client is looking for a Staff Data Engineer who will love being in an autonomous environment where you will be given a problem area but full autonomy to be creative, push new ideas and build the data solutions you feel is best.
You'll join a smart and curious team who like to be challenged working on areas across the business that power key ML and data systems.
You'll achieve success here by combining your technical Data knowledge and coding skills with high positive energy, business acumen and clear articulate communication skills.
What else is in it for you?- Base Salary from 200-240k
- Equity/Stocks
- Are a technical leader who can work and manage their own projects and solutions with full autonomy. Like a Staff/ Principal Data Engineer
- You can clearly articulate your thoughts and write and communicate them clearly.
- Build Data products and solutions (with both batch and streaming data) that matter not just moving data from A to B
- Comfortable with being challenged and taking feedback to build better solutions with the right outcomes
- Can move with speed and intent and comfortable with life building a startup/scaleup
- Python and SQL expert with data engineering
- GCP suite expertise with tools like PubSub, BigQuery, airflow, Dataflow, Data Stream, Cloud Functions, Cloud Composer, Dataform.
Interested? Click the apply or For more info reach out at anthonyh@alldus.com
-
Our client, a growing Digital Transformation Consulting organisation, is hiring a Full Stack Engineer to join the team in Dublin, Ireland. The successful candidate will play a pivotal role in shaping and delivering modern applications, integrating AI-driven agents and enabling scalable cloud deployments within a fast-paced, innovation-led environment.
Responsibilities-
Design, develop and maintain full stack applications using Python and React.js.
-
Build and integrate AI-powered features, including agent workflows and decision-making logic.
-
Design and deliver RESTful APIs and microservices.
-
Implement real-time monitoring, logging and performance tracking solutions.
-
Identify, troubleshoot and resolve issues across the full stack.
-
Work closely with product, design and engineering teams to deliver high-quality solutions.
-
Write clean, secure and maintainable code in line with best practices.
-
Contribute to Agile and DevOps processes, including CI/CD pipelines.
-
Evaluate and adopt AI tools to enhance development efficiency.
Skillset-
Bachelor’s degree in engineering, computer science or similar.
-
At least 3 years of proven experience in software development and application support.
-
Strong expertise in Python, with experience in frameworks such as FastAPI, Django or Flask.
-
Advanced proficiency in React.js, including hooks, state management and modern JavaScript/TypeScript.
-
Demonstrated experience designing and building RESTful APIs.
-
Practical experience working with AI/ML tools (e.g. LangChain, OpenAI API, Bedrock).
-
Hands-on experience with Docker, Kubernetes and containerised environments.
-
Experience using AWS or a similar cloud platform.
-
Solid understanding of algorithms, design patterns and core computer science principles.
-
Strong communication skills with the ability to collaborate effectively across teams.
-
-
Our client, a growing Digital Transformation Consulting organisation, is hiring a hands-on Senior Applied AI Engineer to join the team in Dublin, Ireland on a contract basis. The successful candidate will design, build and scale advanced Generative and Agentic AI systems, contributing to the development of production-ready agent workflows, sophisticated retrieval pipelines, robust evaluation frameworks and scalable backend services.
Responsibilities-
Design, build and operate end-to-end production-grade AI agent systems.
-
Develop stateful agent workflows with checkpointing, retries and human-in-the-loop controls.
-
Architect intelligent agents with planning, tool use, memory and escalation strategies.
-
Implement advanced retrieval pipelines, including hybrid search, reranking and context construction.
-
Build robust evaluation frameworks with datasets, regression testing and clear success metrics.
-
Establish LLMOps / AgentOps practices, including observability across cost, latency, drift and failures.
-
Optimise system performance across latency, cost and output quality (e.g. routing, caching, model selection).
-
Develop scalable backend services using Python (e.g. FastAPI) and modern architectures.
-
Deploy and maintain systems using Docker, Kubernetes and CI/CD pipelines.
-
Translate business requirements into scalable, production-ready AI solutions.
Skillset-
Minimum of 4 years of experience in software engineering, applied machine learning or applied AI.
-
Strong Python skills, with a solid grounding in modern engineering practices e.g. testing, code quality, version control.
-
Demonstrated experience developing and deploying LLM-powered applications, including prompt design, evaluation and productionisation .
-
Practical experience with agent frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI or Langfuse.
-
Hands-on experience with retrieval systems and vector databases (e.g. Milvus, Pinecone, Weaviate, Chroma, FAISS).
-
Good understanding of AI architecture patterns, including microservices, event-driven systems and multi-agent frameworks.
-
Experience deploying applications on AWS, Azure or GCP using containerisation and CI/CD pipelines .
-
Strong production mindset, with experience in monitoring, testing, governance and LLMOps practices.
-
Exposure to developer copilots and rapid prototyping tools (e.g. Cursor, Windsurf, Replit, GitHub Copilot, Claude Code) is a plus.
-
-
Our client, a growing company working within freight data, is hiring a Forward Deployed Engineer to join their team remotely. The successful candidate will collaborate closely with customers to shape the product in real-world settings, tackle integration challenges head-on, ensure data accuracy, and translate insights directly into their platform and roadmap.
Responsibilities-
Lead the technical side of onboarding and pilots, ensuring integrations are seamless, reliable, and accurate.
-
Design, test and optimize ingestion pipelines, mappings, and webhooks, while identifying edge cases and provider-specific quirks.
-
Translate real-world insights into product impact, highlighting patterns from the field to guide roadmap and strategy decisions.
-
Partner with telematics providers to enhance APIs, sandboxes, and documentation for both internal teams and customers.
Skillset-
At least 2 years of experience in software engineering
-
Exposure to solution engineering or data operations.
-
Detail-oriented with a strong sense of ownership.
-
Hands-on experience with structured data (JSON, SQL, CSV) and APIs/webhooks.
-
Skilled at navigating complex, real-world systems.
-
Excellent communicator across technical and non-technical teams.
-
Thrives managing multiple integrations in a remote-first environment.
-
Experience in logistics, freight, or telematics is a bonus.
Benefits-
Salary: $140k - $170k DOE.
-
Equity.
-
Remote working.
-
401(k) match.
-
-
Our client, a growing company working within freight data, is hiring a Product Manager to join their team remotely. The successful candidate will join as the company’s first product management hire, giving them a rare opportunity to define the role, shape the roadmap and craft the product experience from day one.
Responsibilities-
Drive impactful improvements across API endpoints, schemas, data models and webhooks.
-
Collaborate closely with engineering to deliver solutions that developers can integrate quickly, trust fully and confidently build on.
-
Work with their product specialist to create clear, engaging documentation, integration guides, onboarding tutorials and code examples that accelerate first-time success.
-
Lead the complete onboarding experience for fleets and platform customers.
-
Streamline processes, clarify setup and guide customers to the “aha” moment where the company’s data demonstrates its value.
-
Engage directly with brokers, TMSs, fintechs, and fleets to understand operational workflows and uncover where data adds or misses value.
-
Translate customer insights into actionable roadmap priorities, shaping the product’s direction rather than simply informing it.
Skillset-
At least 4 years of product management experience, ideally with APIs, data platforms, developer tools or SaaS infrastructure.
-
Proven experience managing technical or API-driven products with a strong focus on developer experience.
-
Comfortable working with schemas, data models and complex integration workflows.
-
Expert at turning operational challenges into clear, actionable product requirements.
-
Ability to write precise specs, make informed decisions with incomplete information and drive initiatives forward.
-
Thrives in ambiguity and can independently define direction when needed.
-
Demonstrated success shipping platform or API products that integrate smoothly in real-world environments.
-
Capable of communicating effectively with developers, engineers and freight operators alike.
-
Experience in logistics, supply chain or fintech is an advantage.
Benefits-
Salary: $135k - $160k DOE.
-
Equity.
-
Remote working.
-
401(k) match.
-
-
New York, New York
Development - Back End
Permanent
Our client, an innovator in the logistics industry, are hiring Software Engineers to join the team remotely. The successful candidate will play a key role in turning complex systems into clear, intuitive experiences through thoughtful, high-quality interface design.
Responsibilities-
Design and build dashboards, workflows, onboarding experiences and developer tools that customers rely on daily.
-
Translate complex, real-time logistics data into clear and dependable interfaces.
-
Take charge of the development and maintenance of the marketing website and CMS using Next.js and Sanity.
-
Own the component architecture and content modelling, ensuring scalability and ease of use for non-technical teams.
-
Contribute to and continuously improve the component library and design system, maintaining consistency and high standards across the product.
-
Optimize frontend performance for applications handling high-volume, real-time data, focusing on speed, responsiveness and reliability.
-
Collaborate closely with engineering, product and design to take features from concept through to production, with full ownership throughout the development lifecycle
Skillset-
Minimum of 3 years of professional experience in frontend engineering.
-
Demonstrate strong, hands-on experience with React, TypeScript and Next.js in production environments.
-
Have practical experience using Sanity CMS, including content modelling and schema design.
-
Possess a solid understanding of state management, frontend architecture and performance, gained through real-world problem solving.
-
Comfortable integrating with APIs and handling real-time or high-frequency data.
-
Write clean, maintainable and well-tested code, and actively contribute to constructive code reviews.
-
Work effectively with designers and backend engineers to deliver cohesive solutions.
-
Thrive in ambiguous environments and make sound decisions even when requirements are not fully defined.
-
Experience in data visualization, mapping or logistics/supply chain domains is a bonus.
Benefits-
Salary: $140k - $170k DOE.
-
Equity.
-
Remote working.
-
401(k) match.
-