AI Cloud Architect Jobs

Our client, an AI-driven startup focused in the digital media industry, are hiring a Senior/Staff Backend Engineer to join their team in Brooklyn, New York. The successful candidate will lead the organization's backend systems, driving technical direction, owning core infrastructure and shaping the growth of their backend team to support fast-growth expansion.


Responsibilities

• Design and implement a generation orchestration layer capable of supporting rapid user growth and high-demand workloads.

• Enhance observability across backend systems to proactively identify and resolve issues before they impact users.

• Optimize the database layer, including schema design, indexing strategies, migrations and overall performance at scale.

• Drive vendor and architectural decisions to enable new features and improve system reliability.

• Partner with the CTO, Product Engineer and Intelligence Engineering teams to deliver a stable, high-performance foundation for all clients.

Skillset

• At least 7 years of experience building resilient backend systems that operate at significant scale.

• Minimum of 5 years of TypeScript expertise with strong convictions on type safety, error handling and code structure.

• Demonstrated ability to design, deploy and maintain highly reliable systems.

• Hands-on experience with queue-based architectures, including job scheduling, orchestration and fault-tolerant workflows.

• Strong intuition for observability e.g. instrumentation, monitoring and proactively improving system reliability.

• Proven technical leadership e.g. defining architecture, making critical decisions and mentoring engineering teams.

• Experience with Convex or other real-time database architectures is a plus.

• Familiarity with creative tools, media pipelines or workflows involving complex asset management.

• Expertise in large-scale queueing and orchestration systems.

• Knowledge of serverless patterns and platforms, including Vercel, AWS Lambda and Google Cloud Run is an advantage.

Benefits

• Salary: $180k - $220k DOE.

• Equity.

• Comprehensive health and dental coverage.

Our client, a venture-backed AI Startup, is hiring a talented ML/AI Research Engineer to join their team in San Francisco. The successful candidate will lead the design, training, evaluation and optimization of agent-native AI systems, working at the cutting edge of LLMs, vector search, graph reasoning and reinforcement learning to build the intelligence layer on top of their enterprise data fabric.


Responsibilities

• Fine-tune and evaluate open-source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise-grade applications.

• Build and optimize RAG pipelines using tools such as LangChain, LangGraph, LlamaIndex or Dust.

• Develop and iterate on agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using real-world enterprise workflows.

• Design embedding-based memory systems with efficient, high-performance retrieval strategies.

• Implement reinforcement learning pipelines (RLHF, DPO, PPO) to improve agent behavior and decision-making.

• Create scalable evaluation frameworks, including synthetic evaluations, trace capture and explainability tooling.

• Own model observability, drift detection and alignment strategies across production systems.

• Optimize inference latency and GPU utilization across cloud and on-premise infrastructure.

Skillset

• Strong experience fine-tuning open-source LLMs using frameworks such as HuggingFace, DeepSpeed, vLLM, FSDP and LoRA/QLoRA.

• Hands-on experience with modern alignment techniques, including SFT, RLHF and DPO pipelines.

• Proven ability to build high-quality training datasets and robust evaluation frameworks for LLM systems.

• Deep understanding of scaling and optimization trade-offs, including batching, context windows, precision and quantization.

• Experience building and deploying production-grade RAG systems.

• Familiarity with orchestration and retrieval tools such as LangChain, LangGraph and LlamaIndex, and vector databases (Weaviate, Qdrant, FAISS).

• Experience working across structured (SQL, graph) and unstructured data sources.

• Experience designing agent-based systems with memory, tool use, and multi-step reasoning.

• Strong understanding of agent workflows (e.g. Plan-Act-Reflect), including self-correction and multi-agent systems.

• Expertise in inference and retrieval optimization, including chunking strategies, reranking, and low-latency deployment (e.g. vLLM, TGI).

Benefits

• Salary: $180k - $240k

• Equity.

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 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, an award-winning Legal Tech company, is hiring a Backend Engineer to join their team remotely. The successful candidate will join an early-stage team and play a pivotal role in developing AI-driven technology that is shaping the future of the legal industry.


Responsibilities

• Partner with product and customer-facing teams to enhance and evolve platform features.

• Take ownership of projects to build, optimize and maintain the web application and Microsoft Word add-in.

• Produce clean, scalable and well-documented code.

• Architect and improve backend systems across Azure and AWS, prioritizing performance, security and accessibility.

• Explore and assess different technical solutions to inform product decisions.

• Keep up to date with emerging technologies and industry best practices.

• Collaborate cross-functionally with engineering, product, sales and customer success teams.

• Support, mentor or manage team members as the organization grows.

Skillset

• Bachelor's degree in Computer Science or similar.

• Minimum of three years of experience in software development with hands-on skills with Python.

• Experience working with Docker and containerised environments.

• Ability to build and deploy services on AWS, Azure or Google Cloud.

• Experience working with NoSQL databases and file/blob storage systems, particularly within AWS or Azure.

• Familiarity with testing frameworks such as Pytest, Jest or Cypress.

• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

• Experience working with Agile methodologies and product management tools.

Benefits

• Salary: $120k - $130k

• Equity.

Our client, a Series A HealthTech startup, is hiring a talented Senior Backend Software Engineer to join their team in New York. The successful candidate will design, develop and maintain backend services and web applications in order to deliver reliable, compliant systems that enhance efficiency, reduce costs and drive better outcomes for more than 1.5 million patients.


Responsibilities

• Architect, develop and support backend services and web applications.

• Create real-time web applications for patient communication via audio and SMS.

• Build and manage resilient, long-running workflows for asynchronous and background processes.

• Work closely with frontend, product, and infrastructure teams to deliver dependable, compliant systems.

Skillset

• Proven track record of building highly available backend applications in regulated industries such as healthcare, finance, or compliance-driven SaaS.

• Proficient in TypeScript and/or Python for backend service development.

• Hands-on experience with Node.js, Express, Mongoose, Twilio or similar frameworks.

• Familiarity with Temporal or other distributed workflow orchestration systems (e.g. Cadence, AWS Step Functions, Conductor).

• Strong understanding of distributed systems fundamentals, including retries, idempotency, and failure handling.

• Practical experience with cloud platforms such as AWS, Azure, or GCP.

• Hands-on experience with CI/CD pipelines, infrastructure automation, and version control (Git).

• Exposure to DevOps practices, containerization, observability and deployment automation is a plus.

• Experience in healthcare technology or medium-sized SaaS startups is a bonus.

Benefits

• Salary: $150k - $200k DOE.

• Equity.

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.

Our client, an AI-driven organization, is hiring experienced Senior Software Engineers to join their team in New York. The successful candidate will design and build large-scale systems that enable AI to run quickly, securely and reliably in production, contributing to a transformative platform that reimagines how organizations build internal software and helps define the future of SaaS.


Responsibilities

• Design and build large-scale untrusted code execution environments with secure sandboxing.

• Develop and operate massively parallel AI agent runtimes and scheduling systems.

• Architect and maintain multi-cloud and customer VPC deployment models.

• Build highly reliable distributed systems with strict security and data integrity guarantees.

• Implement deep observability across AI workflows and underlying infrastructure.

• Create and evolve enterprise-grade integration and metadata platforms.

Skillset

• Strong foundation in distributed systems, scalability, multi-cloud architecture and security.

• Practical experience with operating systems, containers, Kubernetes, cloud networking and event-driven runtimes such as Knative or KEDA.

• A passion for creating simple, elegant solutions to complex systems challenges.

• Demonstrated experience designing, building and operating large-scale infrastructure.

• A strong zero-to-one mindset with the ability to thrive in ambiguous problem spaces.

Benefits

• Salary: $220k - $250k DOE.

• Equity.

Our client, an exciting AI-driven SaaS company, is hiring a Frontend / Browser Extension Engineer to join their team in Palo Alto, CA. The successful candidate will design and develop enterprise-grade browser extensions that deliver real-time visibility and control across web applications., from building systems that monitor data flows, enforcing security policies and scaling seamlessly across large organizations.


Responsibilities

• Design and develop browser extensions for Chrome, Safari and Firefox with enterprise-grade security features.

• Implement in-browser real-time monitoring and policy enforcement systems.

• Build secure communication channels between browser extensions and cloud services.

• Develop scalable deployment and management frameworks for enterprise environments.

• Enable in-browser data detection and classification for sensitive information.

• Optimize extensions for performance, security and reliability across complex enterprise settings.

Skillset

• Minimum of 6 years of experience building production SaaS with a strong focus on frontend engineering.

• At least 3 years of hands-on experience with Web Extensions, browser security models and shipping production extensions (Chrome Web Store portfolio required).

• Expert-level proficiency in TypeScript and React, including build systems, performance optimisation and state management.

• Strong systems thinking for designing complex frontend architectures that balance security, performance and maintainability.

• Experience developing security or data protection systems.

• Proven track record of independently shipping complete solutions from ambiguous or undefined problems.

Benefits

• Salary: $160k - $200k.

• Equity.

• Health, Dental & Vision Insurance.