We're looking for a Senior Software Engineer with a passion for AI to join a growing development team in Ireland on a fully remote basis. The role itself will be building and scaling production-grade AI systems powering real-time applications and high-volume data pipelines.

This role is ideal for someone passionate about AI infrastructure, modern cloud-native engineering, and building reliable LLM-powered services at scale. You’ll work in a highly collaborative environment using modern DevOps practices, Infrastructure-as-Code, and agentic development tools to deliver impactful solutions quickly and safely.

<h3>Key Responsibilities</h3>

<ul>
	<li>Build and maintain LLM-powered services and retrieval workflows.
	<li>Design scalable cloud infrastructure and event-driven systems.
	<li>Implement Infrastructure-as-Code and modern CI/CD practices.
	<li>Improve reliability, monitoring, and operational excellence across AI services.
	<li>Collaborate across engineering and product teams to deliver secure, scalable solutions.
</ul>

<h3>Requirements</h3>

<ul>
	<li>Strong background in building distributed systems in production environments.
	<li>Experience working with modern AI/ML platforms and LLM applications.
	<li>Deep cloud and container orchestration experience.
	<li>Strong Python skills; additional backend experience is beneficial.
	<li>Familiarity with vector search, observability tooling, and DevOps practices.
</ul>

<h3>What’s Offered</h3>

<ul>
	<li>Work on cutting-edge AI products and infrastructure.
	<li>Flexible, collaborative engineering culture.
	<li>Opportunity to shape scalable AI systems in a fast-moving environment.
</ul>

AI Engineer 

Nicoll Curtin are partnering with a leading enterprise‑scale medical technology company in the west of Ireland to hire a Senior .NET Engineer. This is a key opportunity to join a growing engineering team and play a central role in delivering a high‑impact, innovative project within a rapidly scaling environment.

Write clean, efficient, maintainable C# code and promote best engineering practices through example. 
Design and implement features using a Redux-based architecture (Redux.NET), including actions, reducers, effects, and immutable typed state 
Communicate effectively with non-technical stakeholders, translating complex technical concepts into clear, understandable language. 
Advanced proficiency in C#/.NET, including modern asynchronous programming.

This position is a hybrid role and requires two days per week onsite in Limerick. If interested please reach out to <a href="mailto:Carolina.Melo@Nicollcurtin.com">Carolina.Melo@Nicollcurtin.com</a>

.NET Developer

Carolina Melo

Full Stack Engineer (AI Systems) – Remote (Global)

We’re working with a well-established, tech-led business that is building a new AI product focused on handling real-world tasks, workflows and decision-making. 
 
This is a small, high-calibre team building systems where AI capability is translated into reliable, structured product behaviour, with a strong emphasis on execution and consistency in real usage. 
 
The product focuses on:

<ul>
	<li>Long-running workflows
	<li>Persistent context
	<li>Multi-step task execution
	<li>Integration with external systems
	<li>The core challenge is designing systems that can apply model capability in a structured and reliable way, even when behaviour is non-deterministic.
</ul>

<hr>
The Role

This role sits at the product layer, connecting backend systems, AI capability and the end-user experience. 
 
The focus is on building systems that enable:

<ul>
	<li>AI workflows to run end-to-end within the product
	<li>User-facing features that behave consistently under real usage
	<li>Real-time interaction with AI-driven systems
</ul>

You’ll be working on:

<ul>
	<li>End-to-end product features across frontend and backend
	<li>Agent workflows, including planning, tool usage, failure handling and recovery
	<li>Integration of LLMs, memory and external systems into user-facing flows
	<li>Real-time interactions, including streaming responses and partial updates
	<li>Reliability and fallback behaviour within the product experience
</ul>

<hr>
What They Care About

The hiring bar is centred around real production experience:

<ul>
	<li>Whether you have built and shipped features end-to-end
	<li>Your experience working with AI-powered applications beyond simple API usage
	<li>Your ability to handle practical challenges such as:
	<li>ambiguity in product requirements
	<li>failure and recovery in AI workflows
	<li>maintaining consistent behaviour in real-world usage
</ul>

<hr>
Tech Environment

<ul>
	<li>Next.js / React
	<li>Python and Node.js
	<li>SQL / NoSQL databases
	<li>LLM ecosystem (OpenAI, Anthropic, etc.)
	<li>Docker and Kubernetes
	<li>AWS, Azure or GCP is fine
</ul>

The emphasis is on how you design and ship product features, rather than any single technology.

<hr>
Team & Working Style

<ul>
	<li>Remote-first
	<li>Small, highly capable engineering team
	<li>Strong emphasis on ownership and delivery
	<li>Comfortable working across frontend, backend and evolving systems 
</ul>

Full Stack Engineer (AI / LLM, React + Python)

Senior Python Backend Engineer (AI / LLMs) 
Remote (United Kingdom) | Permanent | Flexible compensation + equity 
 
We’re working with a well-established, tech-led business that is building a new AI product focused on handling real-world tasks, workflows and decision-making. 
 
This is a small, high-calibre team building systems where AI capability is translated into reliable, structured product behaviour, with a strong emphasis on execution and consistency in real usage. 
 
The product focuses on:

<ul>
	<li>
	Long-running workflows
	
	<li>
	Persistent context
	
	<li>
	Multi-step task execution
	
	<li>
	Integration with external systems
	
</ul>

 
The core challenge is designing systems that can apply model capability in a structured and reliable way, even when behaviour is non-deterministic. 
 
The Role 
This role sits in the backend layer that connects models to the product. 
 
The focus is on designing and operating systems that enable:

<ul>
	<li>
	AI workflows to run end-to-end
	
	<li>
	APIs to serve AI features consistently
	
	<li>
	Systems to perform reliably under real usage conditions
	
</ul>

 
You’ll be working on:

<ul>
	<li>
	Inference pipelines and orchestration layers
	
	<li>
	Backend services for AI-driven workflows
	
	<li>
	Performance considerations such as latency, throughput, batching and caching
	
	<li>
	Monitoring, logging and production reliability
	
</ul>

 
What They Care About 
The hiring bar is centred around real production experience:

<ul>
	<li>
	Whether you have owned backend systems end-to-end in production
	
	<li>
	Your experience working with AI systems beyond simple integration
	
	<li>
	Your exposure to practical challenges such as:
	
	<li>
	latency and throughput optimisation
	
	<li>
	monitoring and observability
	
	<li>
	debugging and incident handling
	
	<li>
	scaling systems in production environments
	
</ul>

 
Tech Environment

<ul>
	<li>
	Python (primary backend language)
	
	<li>
	Node.js
	
	<li>
	SQL / NoSQL databases
	
	<li>
	LLM ecosystem (OpenAI, Anthropic, etc.)
	
	<li>
	Docker and Kubernetes
	
	<li>
	AWS, Azure or GCP is fine
	
</ul>

 
The emphasis is on how you design and run systems, rather than the specific cloud used. 
 
Team & Working Style

<ul>
	<li>
	Fully remote-first, work from anywhere
	
	<li>
	Small, highly capable engineering team
	
	<li>
	Strong emphasis on ownership and delivery
	
	<li>
	Comfortable working in evolving systems and making pragmatic decisions.
	
</ul>

Senior Python Backend Engineer

We are looking for a Compliance Onboarding Officer for one of our key banking clients in Zurich, a globally recognised private bank, for a contract role.

 

In this role, you will step into the heart of the client onboarding journey, where your focus will be on reviewing high-risk client cases and conducting detailed KYC and financial crime risk assessments.

 

You will work closely with cross-functional teams and booking centres, ensuring that complex onboarding cases, particularly within Emerging Markets (MEA and NRI), are handled with precision and care.

 

Your ability to connect the dots across advisory teams, clients, and internal stakeholders will be critical in delivering high-quality compliance decisions.

 

You will bring strong onboarding experience, combined with solid AML/KYC knowledge, and a sharp analytical mindset.

 

The role requires someone who can work under pressure, communicate clearly, and produce concise, well-structured risk assessments. Additional certifications or training in AML/KYC are highly valued.

 

This is an exciting opportunity to join a leading financial institution, gain exposure to complex international client structures, and work in a dynamic and fast-paced environment in Zurich.

 

Finally, the knowledge of German and English at C1 level is mandatory

 

Contract details:

 

Start date: 01 August 2026

 

End date: 31 October 2026

 

Workload 80%

 

If you want to hear more about this role, apply directly to:

 

vuk.susa-stupar@nicollcurtin.com

 

Phone:+41 43 508 2671

Compliance Onboarding Officer

About the Company

 

Our client is a global technology organization supporting the build and delivery of large-scale data centre, compute, storage, and AI infrastructure. The team works closely with manufacturing partners, suppliers, engineering, supply chain, and operations teams to ensure hardware is delivered on time and at scale.

 

Contract

1-year contract, subject to extension based on performance and business needs.

 

About the Role

We are looking for a Materials Planner to support material planning, procurement coordination, supplier follow-up, and production readiness across compute, storage, and AI infrastructure programs.

This role will work closely with ODM partners, suppliers, internal supply chain teams, and cross-functional stakeholders to ensure materials are available on time to support manufacturing and delivery schedules.

 

Key Responsibilities

<ul>
	<li>Coordinate with ODM partners, vendors, and internal stakeholders to manage material readiness across full BOM requirements.
	<li>Support purchase order placement and follow up on PO coverage, delivery timelines, and material availability.
	<li>Work with supply and demand planning teams to track component supply and support Clear to Build status.
	<li>Monitor MRP readiness and ensure material plans are aligned with forecasts and purchase orders.
	<li>Identify material shortages, supply risks, delivery delays, and potential disruptions early.
	<li>Work with suppliers and manufacturing partners to resolve material issues and support on-time delivery.
	<li>Track supplier manufacturing schedules, capacities, and material delivery commitments.
	<li>Analyze demand, supply, inventory, and MRP reports to support planning decisions.
	<li>Support KPI tracking related to material planning, PO placement, supply coverage, and operational performance.
	<li>Partner with inventory and logistics teams to maintain appropriate stock levels at ODM and 3PL sites.
	<li>Support material allocation decisions to maximize production output and hardware delivery.
</ul>

 

Requirements

<ul>
	<li>Bachelor’s degree in Supply Chain Management, Engineering, Business, or a related field.
	<li>4+ years of experience in procurement, materials planning, operations, or supply chain management.
	<li>Prior experience in technology, hardware, electronics, manufacturing, or data centre infrastructure environments would be advantageous.
	<li>Good understanding of MRP, BOM, PO management, material readiness, or production planning.
	<li>Strong ability to work with complex data, identify key issues, and provide clear recommendations.
	<li>Strong stakeholder management skills with the ability to work across internal teams, suppliers, and external manufacturing partners.
	<li>Able to manage multiple priorities in a fast-moving environment.
	<li>Strong communication, coordination, and problem-solving skills.
	<li>Comfortable working with teams and partners across different time zones.
</ul>

 

Preferred Experience

<ul>
	<li>Exposure to computer hardware manufacturing, production, configuration, or server infrastructure.
	<li>Familiarity with ODM environments, component planning, and mass production support.
	<li>Ability to quickly understand technical terminology and hardware-related supply chain processes.
	<li>Experience working in a cross-functional environment requiring independent judgment and hands-on coordination.
</ul>

Mass Production Material Planner

You will work at the intersection of AI agents, automation, and real business challenges. You will partner closely with product managers, data scientists, and business stakeholders to own, shape and deliver impactful AI products. These projects span both internal and external products, including AI-powered operational tools, AI-driven agents and game localization platforms, supporting real-time interactions and global users at scale. 
 
Job Description 
•Build AI products end to end alongside an AI Product Manager, from discovery and prototyping to shipping, measuring, and iterating. 
•Own the full backend of an AI product, including model orchestration, retrieval layers, APIs, data flow, storage systems, and middleware. 
•Set technical direction for the systems you own, make architecture decisions, and uphold high standards for code quality and review. 
•Strengthen the foundations that make AI products reliable, including evaluations, guardrails, fallbacks, human-in-the-loop workflows, and clear error handling when models fail. 
•Operate the products you build end to end, taking ownership of monitoring, incident response, and quality investigations. 
•Select the right techniques and tools for each problem, including prompting, RAG, fine-tuning, agents, and classical ML. 
 
Job Requirements 
•At least 3 years of full-time engineering experience, with a track record of 0-to-1 and end-to-end product ownership. 
•Strong backend foundation in system design, distributed systems, databases, caching, and message queues. 
•Comfortable working across the stack, including APIs, infrastructure, frontend, and product metrics. 
•Fluent in LLM product patterns such as chat, copilots, RAG, agentic AI-harness, with sound judgment and proven experience making technical decisions on prompt vs. fine-tune, retrieval vs. long context, and automation vs. human review. 
•Proficient in reading and modifying code across common backend languages. 
•Strong cross-functional collaboration skills to work effectively with product, data science, business, operations, and end-user teams. 
•Open-minded, agile, and proactive mindset with a strong willingness to learn. 
•Strong sense of responsibility and accountability in delivering quality work on time.

AI Product Engineer

Responsibilities:
<ul>
	<li>Lead the end-to-end delivery of new initiative and prototype programs, ensuring alignment with defined scope, timelines, and quality standards
	<li>Develop and maintain comprehensive program plans, governance structures, and reporting frameworks across multiple concurrent initiatives
	<li>Partner with cross-functional stakeholders across business units, technical teams, and external collaborators in different regions
	<li>Translate business needs into structured delivery plans and actionable roadmaps, incorporating data-driven and AI-enabled approaches where applicable
	<li>Identify and manage program dependencies, risks, and issues, implementing proactive mitigation strategies
	<li>Monitor and report program progress using established metrics, milestones, and key performance indicators
	<li>Facilitate clear and consistent communication to ensure alignment, visibility, and transparency across all stakeholders
	<li>Drive continuous improvement in delivery processes and promote operational efficiency and best practices
</ul>
 
Requirements:

<ul>
	<li>Demonstrated experience in program or project management within complex, fast-paced environments
	<li>Strong understanding of product or solution lifecycle processes, including early-stage development or launch phases
	<li>Familiarity with AI/ML concepts and their practical application in business or operational contexts
	<li>Excellent stakeholder engagement and communication skills, particularly in geographically distributed teams
	<li>Ability to manage multiple priorities and deliver outcomes in a matrixed organizational structure
	<li>Strong analytical thinking, problem-solving, and decision-making capabilities
	<li>Experience collaborating with cross-regional teams and managing diverse stakeholder groups
	<li>Professional certifications in program or project management (e.g., PMP, Agile, Scrum)
	<li>Experience in large-scale transformation or strategic change initiatives
	<li>Exposure to partner engagement models, distribution channels, or go-to-market processes
	<li>Familiarity with innovation-led programs or digital transformation efforts
</ul>

Project Manager,  AI/ML - New Products

A leading global technology business is looking for a Field Marketing Specialist to support its APAC sales and marketing teams across regional campaign execution and pipeline-focused initiatives.

This is a 12-month contract with the possibility of extension or conversion to a permanent position, subject to performance and business needs.

This is an operationally focused role responsible for ensuring field marketing programs run smoothly across APAC. You will work closely with internal stakeholders and external partners to coordinate campaigns, events, and field activities that support customer engagement and revenue growth.

Responsibilities

<ul>
	<li>Support the planning and execution of regional field marketing programs across APAC.
	<li>Coordinate marketing campaigns, events, sales initiatives, and customer engagement activities.
	<li>Manage campaign and event logistics, including scheduling, vendor coordination, venue arrangements, travel, and marketing materials.
	<li>Partner closely with sales teams to support pipeline generation and deal acceleration.
	<li>Prepare and distribute sales and marketing assets for regional campaigns.
	<li>Maintain accurate campaign data within marketing systems, CRM platforms, and reporting trackers.
	<li>Support campaign tracking, performance reporting, budget monitoring, and spend documentation.
	<li>Coordinate with internal teams and external vendors to ensure programs are delivered smoothly and on time.
	<li>Ensure all marketing activities comply with internal processes, brand standards, and regional guidelines.
</ul>

Requirements

<ul>
	<li>At least 3 years of experience in B2B marketing, field marketing, marketing operations, or a related role.
	<li>Prior field marketing experience within SaaS, enterprise technology, or another fast-paced regional business is preferred.
	<li>Strong organisational, time management, and coordination skills.
	<li>High attention to detail when managing data, budgets, timelines, and campaign logistics.
	<li>Proficiency in Microsoft Office, CRM platforms, and marketing tools.
	<li>Strong communication skills and the ability to collaborate across sales, marketing, operations, and external vendors.
	<li>A proactive, hands-on, and reliable team player who is comfortable managing multiple priorities.
	<li>APAC market experience would be an advantage.
	<li>Korean language proficiency would be beneficial due to the markets covered.
</ul>

Field Marketing Specialist

Chief Legal & Compliance Officer - Regional Group Level

 

About the Company

The company is a fast-growing regional business group operating across technology, payments, merchant services, and digital commerce. The business has multiple operating companies across Asia and is continuing to expand through new markets, partnerships, acquisitions, and corporate structuring.

 

About the Role

We are looking for a smart, business-minded legal professional to act as the legal and compliance face of the group.

 

This is a regional, group-level role covering multiple markets across Asia. The person will work closely with founders, senior leadership, external counsel, banks, partners, and business teams to support growth while protecting the group from legal, regulatory, commercial, and structural risks.

 

This role is best suited for someone who is practical, commercially sharp, and comfortable operating beyond traditional legal review.

 

Key Responsibilities

<ul>
	<li>Act as the main legal and compliance advisor across the group’s operating companies.
	<li>Support regional legal matters across Singapore, Indonesia, Taiwan, Hong Kong, and future markets.
	<li>Manage external counsel and legal partners across different jurisdictions.
	<li>Advise leadership on commercial decisions, partnerships, acquisitions, expansion, and corporate structuring.
	<li>Review and negotiate key commercial agreements, including partnership, vendor, reseller, merchant, and strategic contracts.
	<li>Support M&A activity, including legal due diligence, transaction review, negotiation, and risk assessment.
	<li>Oversee corporate governance, holding company structures, shareholder agreements, ESOP matters, and group-level legal documentation.
	<li>Build practical legal, compliance, contract, and risk frameworks that allow the business to scale safely.
	<li>Strengthen compliance standards across payments, merchant onboarding, regulatory expectations, data protection, and cross-border operations.
	<li>Provide clear, business-friendly legal advice rather than only highlighting risks.
</ul>

 

Requirements

<ul>
	<li>8+ years of legal, compliance, corporate, or risk-related experience.
	<li>Strong regional exposure across Asia, ideally including markets such as Singapore, Indonesia, Taiwan, or Hong Kong.
	<li>Experience in fintech, payments, merchant services, technology, SaaS, digital platforms, or high-growth businesses.
	<li>Strong commercial contract, corporate governance, structuring, and risk management experience.
	<li>Comfortable working directly with founders, CEOs, business heads, external counsel, banks, and partners.
	<li>Able to balance legal protection with business growth and speed.
	<li>Practical, independent, and confident in making judgement calls in a fast-moving environment.
	<li>In-house experience is preferred, but strong law firm candidates with relevant commercial, corporate, fintech, or technology exposure may also be considered.
</ul>

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