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AI Engineer - LLMs, RAG & Inference Systems
Big Tech, Dublin - Full-Time

One of the world's leading technology companies is scaling its AI engineering function in Dublin - building production AI systems at the frontier, not research that never ships. This is a full-time seat on a team shipping LLM-powered products used at genuine scale.

What you'll work on:

Designing and deploying LLM-powered applications in production, not prototypesRAG architecture - retrieval pipelines, vector search, embedding strategy, chunking and re-ranking for relevance at scaleInference optimisation - quantisation, batching, and latency/throughput tradeoffs across large GPU fleetsAgentic systems - tool use, multi-step reasoning, orchestration frameworks for autonomous task executionFine-tuning and evaluation pipelines for foundation models, including guardrails and eval harnesses for production reliabilityCross-functional work with research, infra, and product teams - translating frontier techniques into shipped features

What we're looking for:

~2 years' experience, with genuine hands-on exposure to LLMs in production (not just personal projects)Strong Python, comfortable with PyTorch or equivalent production ML infraPractical experience with LLM APIs (OpenAI, Anthropic, or open-source stacks - Llama, Mistral) and prompt/context engineeringUnderstanding of vector databases (Pinecone, Weaviate, pgvector) and RAG design tradeoffsBonus: inference infra experience (vLLM, TensorRT, Triton) or open-source AI tooling contributionsComfortable in a fast-moving, ambiguous environment where the tooling changes every few months

Team & setup:

Embedded within a core AI product engineering team, Dublin officeFull-time, permanent - Big Tech-scale package with equity componentGenuine growth path into senior/staff AI engineering as the Dublin function scales

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We're seeking a Senior AI Engineer to join a high-performing technology team delivering advanced AI solutions across a global platform. This role offers the opportunity to work on complex engineering challenges, leveraging machine learning, generative AI, and intelligent automation to build products used by millions worldwide.

You'll be at the forefront of designing and deploying AI-powered applications, collaborating with cross-functional teams to transform innovative ideas into scalable, production-ready solutions.

Key Responsibilities

Develop and deliver AI-driven products and services using modern machine learning techniques.Build scalable backend systems, APIs, and workflows that support AI and GenAI applications.Deploy, optimise, and maintain ML models within production environments.Work closely with Data Science and Engineering teams to turn research and prototypes into robust solutions.Contribute to architectural decisions and drive technical excellence across AI initiatives.Mentor team members and promote best practices in software engineering and MLOps.

Required Experience

5+ years of experience in AI Engineering, Machine Learning Engineering, or a similar software-focused role.Strong hands-on experience with LLMs, Generative AI, and modern AI tooling.Demonstrated success building and deploying production machine learning solutions.Solid background in software development, cloud technologies, and distributed systems.Experience developing scalable data and AI platforms.Strong communication skills with the ability to engage both technical and non-technical stakeholders.

GCS is acting as an Employment Business in relation to this vacancy.

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AI Engineer

Full-time · Reports to Managing Director

ABOUT THE COMPANY

We are a well-established, fast-growing organisation with a strong commercial track record,
currently investing heavily in AI to drive the next phase of our growth. This is a rare opportunity to
join at a pivotal moment and build something meaningful from the ground up.

THE ROLE
This is a senior individual contributor and team leadership position sitting at the intersection of
engineering and applied AI. You will report directly to the Managing Director and lead a team of 6,
responsible for designing, building, and deploying AI-powered solutions that transform how the
business and its clients operate. You will be hands-on in the build while setting technical direction
for the team.

WHAT YOU'LL DO
* Architect and deliver agentic AI systems on GCP using Gemini models - from prototyping
through to production.
* Lead and develop a team of 6 engineers, setting technical standards, conducting code reviews,
and unblocking delivery.
* Partner with the MD and senior stakeholders to shape the AI product roadmap and translate
business priorities into engineering deliverables.
* Design and implement multi-agent workflows, RAG pipelines, and LLM-integrated tools that
serve internal teams and client-facing products.
* Own the AI infrastructure on GCP - Vertex AI, Cloud Run, BigQuery ML, and associated data
pipelines.
* Evaluate and integrate emerging tools, frameworks, and APIs - keeping the business at the
leading edge of applied AI.
* Champion responsible AI practices including model evaluation, bias testing, and governance
frameworks.

WHAT WE'RE LOOKING FOR
Required
* 5+ years in software or ML engineering
* Hands-on GCP experience (Vertex AI, Cloud
Run, GCS)
* Production-level work with Gemini or
comparable LLMs
* Agentic AI system design and deployment
* Python proficiency; LangChain, CrewAI or
similar
* Prior experience leading or mentoring a team
Nice to have
* Background in a fast-paced commercial or
agency environment
* Experience with Google Workspace APIs
* Familiarity with Looker, dbt or BigQuery
* Contributions to open-source AI projects
* GCP Professional certifications

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GCS is acting as an Employment Business in relation to this vacancy.

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Senior AI Engineering Leader - Enterprise GenAI Platforms

A global enterprise organisation is building out its next-generation AI engineering capability and is seeking a senior leader to drive the strategy, architecture, and delivery of enterprise-scale GenAI platforms and applications.
This role sits within a central engineering enablement function focused on accelerating software delivery, modernising engineering practices, and embedding AI capabilities across large-scale technology teams.
The position will lead multiple engineering teams responsible for delivering scalable, secure, and production-grade GenAI solutions in a highly regulated environment.

Key Responsibilities
* Define and lead the GenAI engineering roadmap and operating model
* Drive enterprise adoption of AI engineering standards and best practices
* Oversee development of LLM-powered applications and platforms
* Lead architecture and governance for RAG pipelines, agentic workflows, evaluation frameworks, and AI integration layers
* Ensure AI systems are scalable, observable, secure, and compliant
* Partner with Product, Security, Risk, Architecture, and Data teams to operationalise GenAI capabilities
* Lead organisational growth, hiring, team development, and engineering standards

Required Experience
* Proven leadership experience managing engineering organisations and technical strategy
* Strong experience deploying GenAI/LLM systems into production enterprise environments
* Expertise across AI engineering, distributed systems, APIs, microservices, and cloud-native architectures
* Strong understanding of AI governance, evaluation, monitoring, and controls
* Experience with modern engineering ecosystems including containers, DevSecOps, SQL/NoSQL databases, and event-driven systems
* Strong technical depth in languages such as Python, Go, or TypeScript

Ideal Background
Candidates are likely to come from applied AI engineering, AI platform engineering, ML infrastructure, or enterprise GenAI architecture environments rather than traditional pure data science or research backgrounds.

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Senior Python Engineer (AI Platforms & Distributed Systems)

Location: Chicago
Work Arrangement: Hybrid
Employment Type: Contract

Overview

We are seeking a highly specialized Senior Python Engineer to design and build scalable backend platforms, automation frameworks, and distributed systems within a cloud-native environment. This role requires deep expertise in Python development, microservices architecture, API engineering, and high-performance data processing.

The ideal candidate will have strong experience developing enterprise-grade applications, building scalable services, and working across modern DevOps and cloud ecosystems.

Key ResponsibilitiesDesign and develop scalable backend applications and distributed systems using PythonBuild high-performance RESTful and asynchronous APIsDevelop microservices and event-driven architecturesOptimize application performance, concurrency, and scalabilityCollaborate with platform engineering, DevOps, and cloud teamsBuild automation frameworks and orchestration toolingImplement monitoring, logging, and observability standardsContribute to CI/CD pipeline automation and infrastructure improvementsParticipate in architecture reviews and technical strategy discussionsTroubleshoot complex production issues and perform root cause analysisRequired Technical Skills7+ years of software engineering experience5+ years of advanced Python development experienceStrong expertise in:FastAPIFlask or DjangoAsyncIOMicroservices architectureREST and GraphQL APIsExperience building scalable distributed systemsStrong understanding of multithreading, concurrency, and asynchronous programmingHands-on experience with:DockerKubernetesKafka or RabbitMQRedisExperience with cloud-native environments:AWSAzureGCPStrong database experience:PostgreSQLMongoDBCassandraExperience implementing CI/CD pipelines using Jenkins, GitHub Actions, or GitLabFamiliarity withobservability tools:PrometheusGrafanaELKOpenTelemetryStrong Linux systems and scripting knowledgePreferred QualificationsExperience supporting AI/ML or data-intensive platformsKnowledge of infrastructure-as-code tools such as TerraformExposure to serverless architectures and event-driven workflowsExperience supporting enterprise-scale applications with high availability requirementsBackground in telecom, media, or large-scale enterprise environmentsNice to HaveExperience with Celery or distributed task processing frameworksExposure to MLOps tooling and model deployment pipelinesFamiliarity with security best practices and API authentication standards

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DATA INTEGRATION ENGINEER (BANKING) - CONTRACT

London | Hybrid (5 days in 10 on-site) 6 Months | Inside IR35£700 Per Day | Umbrella

THE PROJECT

A global banking organisation is expanding its data integration capability and needs a technically strong contractor who can manage complex data environments, support regulatory reporting, and build scalable integration solutions across critical platforms. If you enjoy solving data challenges, improving data quality, and working across enterprise systems-this role is for you.

Design, build, and support enterprise-grade data integration and transformation solutions.Work across SQL Server and Oracle environments to manage large-scale data processing.Develop and maintain ETL pipelines, data marts, and reporting datasets.Support regulatory and banking reporting requirements with accurate, reliable data flows.Ensure strong standards across data quality, security, governance, and compliance.Collaborate with technical and non-technical stakeholders across IT and business teams.Contribute to platform optimisation, tooling improvements, and integration best practices.Support ongoing delivery across cloud and enterprise data platforms.

SKILLS NEEDED

Strong hands-on experience with SQL Server, Oracle, and ETL tooling.Deep understanding of PL/SQL, TSQL, data integration, and transformation.Experience with ETL and integration tools such as DataStage, SSIS, or Alteryx.Strong analytical and problem-solving skills across complex data environments.Excellent communication skills with both technical and business stakeholders.Experience within banking or regulatory reporting environments.Bonus: exposure to Azure, Databricks, Kafka, Middleware, or ECB/AQR reporting.

YOUR IMPACT

Your work will directly support critical banking data operations, regulatory reporting, and enterprise integration initiatives. You'll help improve the reliability and scalability of key data platforms while partnering with senior technology and business stakeholders across a major financial services environment.

Sound good? Apply ASAP - this opportunity is expected to move quickly.

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Collibra Integration Engineer Role - Hybrid / Canary Wharf - 6 month Contract - Banking

Tier 1 Bank - Regulatory Reporting Team

Role - Collibra Integration Engineer

Duration - 6 months with very likely extension

Location - Hybrid / Canary Wharf - 3 days per week in a Canary Wharf office

Rate - £490 per day (inside IR35)

Tasks

Administer and maintain the Collibra platform from an IT engineering perspective, including configuration, health monitoring, troubleshooting, and performance management across EMEA environments.Configure, schedule, and manage integrations using DIP/CDQ, EDGE, and Lineage Harvester, ensuring consistent ingestion of metadata, schemas, and lineage from multiple data sources.Perform connectivity and prerequisite validation with Application teams, ETL teams, and DBAs, including driver installation, credential management, network/firewall requirements and technical onboarding for new data sources.Investigate and resolve incidents related to Collibra integrations, lineage ingestion, and platform availability; collaborate with infrastructure teams to address root causes and prevent reoccurrence.Ensure configuration consistency across environments (DEV/QA/PROD), maintaining runbooks, documentation, and standard operating procedures.Provide regular, clear updates on operational status, risks, and issues to Development Managers and stakeholders.

Additional Tasks

Support EMEA-wide Collibra platform stability by monitoring ingestion pipelines, schema drift, job failures, and performance degradation, ensuring reliable metadata and lineage availabilityMaintain technical documentation, including integration configurations, onboarding guides, troubleshooting logs and operational checklistsAssist with access control operations, ensuring proper provisioning, least-privilege consistency, and audit-readiness for regulatory requirementsParticipate in technical testing for new features, patches, and platform improvements, raising risks or gaps early in collaboration with vendor support and internal IT teams.

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AI Engineer - Cloud & Platform

Location: Fully Remote (UK)
Rate: Competitive (Inside IR35)
Duration: 12 Months
Start: ASAP

A leading global financial services organisation is seeking an experienced AI Engineer to support a range of enterprise-scale AI and platform initiatives. This contract will suit an AI Engineer with strong cloud deployment experience, combined with an understanding of platform, security, and control considerations within AI implementations.

Due to the specialist nature of the work, this role is available on a fully remote basis.

Key Responsibilities

Support the design, deployment, and operation of AI/ML solutions within cloud-based environmentsReview and assess AI platform implementations, identifying issues in underlying infrastructure and toolingSupport controls, security, and governance aspects of AI solutionsWork closely with engineering, platform, and architecture teams to ensure scalable and compliant AI deploymentsTroubleshoot deployment and platform-related issues across AI environmentsContribute to standards, best practices, and continuous improvement across AI engineering

Key Skills & Experience

Proven experience as an AI Engineer, ML Engineer, or similar roleStrong experience deploying AI/ML solutions in cloud environments (AWS, Azure, or GCP)Good understanding of AI/ML platforms, pipelines, and deployment patternsExperience identifying and resolving platform or infrastructure-level issuesAwareness of security, controls, and governance considerations in AI implementationsComfortable working in ambiguous or loosely defined environmentsExperience within large enterprise environments desirable

Additional Information

Contract: 12 monthsIR35: Inside IR35Location: Fully RemoteStart Date: ASAP

This is an excellent opportunity to join a high-profile organisation delivering AI solutions at scale.

Please apply with your latest CV for immediate consideration.

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Required Skills

Strong experience with Python (backend development)

Solid frontend skills in React + TypeScript

Hands-on experience with LLMs (OpenAI, open-source models, etc.)

Proven work with RAG architectures (LangChain, LlamaIndex, vector DBs like Pinecone, Weaviate, etc.)

Experience building end-to-end full stack applications

Familiarity with cloud platforms (AWS / Azure / GCP)

Understanding of API design, microservices, and system scalability

GCS is acting as an Employment Business in relation to this vacancy.

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