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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

• Competitive salary with 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? 

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.