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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

GCS is acting as an Employment Agency 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.

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

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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

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

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