Ideagen

Artificial Intelligence

• Leading and developing the AI Models Team, setting engineering standards, mentoring engineers, and establishing a strong technical culture
• Designing and owning the end-to-end fine-tuning methodology, including training configuration, evaluation gates, reproducibility standards, and promotion criteria
• Making base model selection decisions across foundation model families, balancing capability, cost, and inference constraints for different domain tasks
• Owning LoRA and QLoRA adaptation strategy, including configuration choices, training compute decisions, and compatibility with the inference layer
• Applying supervised fine-tuning and preference optimisation techniques to domain-specific classification and compliance problems
• Building robust evaluation frameworks with domain experts to assess whether models are performing correctly in real EHS, Quality, and GRC use cases
• Leading dataset design and construction, defining labelling standards and ensuring training data is versioned, auditable, and reproducible
• Owning production training and adapter lifecycle management, from large-scale training jobs through to registry promotion and release readiness

AI Model Lead

Data Engineer

• Leading and developing a team of AI data engineers, setting clear technical standards, supporting career growth, and scaling the function as the programme grows
• Defining the technical direction for AI data engineering, including architecture decisions, tooling choices, and delivery practices across the organisation
• Designing and building the end‑to‑end AI data platform, from operational product data and regulatory sources through cloud storage and transformation pipelines to training‑ready datasets
• Owning dataset versioning and lineage so every training artefact is traceable, reproducible, and auditable across the full model lifecycle
• Building and maintaining large‑scale regulatory and operational corpora in collaboration with domain experts, ensuring data quality and consistency
• Architecting and operating AWS‑based data infrastructure at production scale with a focus on reliability, security, and performance
• Defining and enforcing data governance standards, including quality checks, labelling conventions, and data handling frameworks
• Leading GDPR compliance for AI training data in partnership with Legal and ensuring best practice is embedded from the start

AI Data Engineering Lead

• Defining, maintaining, and evolving annotation standards across EHS, Quality, and Compliance
• Establishing evaluation frameworks and quality benchmarks for AI model outputs
• Leading and calibrating a team of domain experts
• Owning the regulatory corpus strategy
• Working closely with content teams to assess existing regulatory material
• Partnering with AI Product and Engineering teams
• Acting as a domain authority in internal and external discussions

AI Domain Lead

• Shadow and support Cloud engineers on real infrastructure work
• Learn how SaaS products are deployed, maintained, and scaled in the cloud
• Get introduced to DevOps practices
• Gain hands-on experience with cloud tools used in live production environments
• Work alongside AI specialists on machine learning and AI solutions
• Take part in team discussions, research, and practical experimentation
• Contribute to a focused AI delivery project within an agile team
• Collaborate with engineers, product teams, and other stakeholders
• Present your learnings and contributions at the end of the placement

AI Work Experience Placement

Account Manager

• Manage and develop a portfolio of existing mid‑market customer accounts
• Own the full customer lifecycle, including onboarding, renewals, upselling, and contract expansion
• Identify and execute opportunities for revenue growth through upsell and cross-sell initiatives
• Maintain accurate and up-to-date pipeline data in Salesforce and HubSpot to support forecasting and reporting
• Apply a consultative approach to understand customer needs and align solutions accordingly
• Act as a trusted point of contact to support customer retention and long-term success
• Collaborate with Pre‑Sales, Solutions Consultants, and Customer Teams to maximise customer value
• Manage deal negotiations and contract execution in line with commercial guidelines
• Stay informed on product developments and relevant industry trends

Sales

• You’ll be in hunter mode, building pipeline from scratch and owning your number.
• Generating new pipeline through targeted outbound prospecting, networking, events, and smart research
• Owning the entire sales cycle: discovery, solution positioning, pricing, negotiation, close
• Engaging senior stakeholders and decision‑makers with a consultative, value‑led sales approach
• Turning complex regulatory, risk, and compliance challenges into commercially compelling conversations
• Managing pipeline, forecasting, and deal progression accurately within CRM tools like Salesforce and HubSpot
• Collaborating closely with pre‑sales, marketing, and sales leadership to sharpen messaging and improve conversion
• Leading commercial discussions that result in mutually beneficial, long‑term customer relationships

New Business Sales Manager

Backend Engineer

• Help design, build, and improve features across the platform
• Work closely with engineers, product, design, and infrastructure teams to deliver high‑quality solutions
• Contribute across the full software development lifecycle within an Agile (Scrum) team
• Support sprint planning and delivery in line with the product roadmap
• Investigate, fix, and prevent software defects, supported by unit testing
• Create clear documentation and contribute to team best practices
• Work independently on assigned tasks while seeking guidance when needed

Software Engineer, Level 2 – Python

• Design, build, and enhance features across the platform
• Collaborate with engineering leaders and cross‑functional teams to deliver well‑architected, enterprise‑grade solutions
• Partner with Product, Infrastructure, and UX teams to deliver high‑quality user experiences
• Contribute across the full software development lifecycle within an Agile (Scrum) environment
• Help shape and deliver the product backlog in line with roadmap and release goals
• Diagnose, resolve, and prevent software defects, supported by unit testing
• Contribute to engineering standards, documentation, and technical decision‑making
• Mentor and support other engineers to grow team capability

Senior Software Engineer, Python

• Build new features across the Beakon EHS platform using PHP, SuiteCRM, and open‑source technologies
• Work closely with Development Managers, Team Leaders, and other engineers to deliver well‑designed solutions
• Collaborate with Product, Design, QA, and Infrastructure teams to deliver high‑quality features
• Contribute across the full software development lifecycle, aligned with the product roadmap
• Work within an Agile team (e.g. Scrum), supporting sprint planning and delivery
• Help diagnose and fix software defects to improve reliability
• Write unit tests and documentation to support your work
• Share ideas and contribute to team practices and technical decisions

Software Engineer, PHP

Full-stack Engineer

• You’ll design, build, and modernise cross‑platform mobile applications using React Native and TypeScript
• Collaborate within an Agile team and contribute throughout the full software development lifecycle
• Work closely with Development Managers, Team Leaders, and fellow engineers to deliver well‑designed, cloud‑hosted solutions
• Collaborate with Product, Design, QA, and Infrastructure teams to deliver high‑quality features
• Contribute across the full software development lifecycle, aligned with the product roadmap
• Work within an Agile team (e.g. Scrum), supporting sprint planning and backlog refinement
• Help identify, troubleshoot, and fix software defects
• Write unit tests and documentation to support your work
• Share ideas and contribute to team practices and technical decisions

Software Engineer, React Native

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Product Adoption Specialist

• Owning engagement for Mazlan free-trial customers within your assigned region
• Managing a portfolio of trial accounts from activation through to conversion
• Delivering structured onboarding sessions, demos, and regular check-ins
• Understanding customer workflows and tailoring guidance to their specific needs
• Proactively identifying and addressing barriers to adoption
• Translating Mazlan’s capabilities into practical use cases
• Monitoring trial health and flagging at-risk accounts early
• Sharing customer feedback and insights with teams

AI Adoption Manager

Technical Product Manager

• Gather and clarify product requirements by working closely with stakeholders and internal teams
• Translate requirements into clear user stories with acceptance criteria
• Act as the key link between Product, Engineering, UX, QA, and business stakeholders
• Support sprint planning, reviews, and retrospectives to ensure quality delivery
• Manage and prioritize the product backlog in line with business goals
• Track delivery progress, help identify risks, and support timely releases
• Assist with product launches, release planning, and adoption activities
• Help create and maintain product documentation and release notes
• Advocate for a user‑centered approach in collaboration with UX/UI teams

Technical Product Owner, L2

• Design and deliver new features across the Beakon EHS platform using PHP, SuiteCRM, and open‑source technologies
• Take technical ownership of complex components within cloud‑hosted and on‑premises enterprise solutions
• Collaborate closely with Product, Design, QA, and Infrastructure teams to deliver high‑quality outcomes
• Contribute across the full SDLC in an Agile (Scrum) environment, supporting sprint delivery and roadmap goals
• Troubleshoot and resolve complex defects, ensuring application stability and performance
• Write and maintain unit tests and documentation to support long‑term maintainability
• Influence technical decisions and help improve engineering standards and practices
• Mentor and support less‑experienced engineers through code reviews and day‑to‑day guidance

AI Model Lead

AI Data Engineering Lead

AI Domain Lead

AI Work Experience Placement

Account Manager

New Business Sales Manager

Software Engineer, Level 2 – Python

Senior Software Engineer, Python

Software Engineer, PHP

Software Engineer, React Native

Account Manager

AI Adoption Manager

Technical Product Owner, L2

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Software Engineer, PHP