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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong capabilities in Python and SQL programming for data processing and AI workflows, with a solid understanding of cloud platforms and modern software development practices. Proven ability to collaborate with cross-functional teams to deliver clean, reusable data products while adhering to engineering best practices.
Highest-signal resume keywords
Python ProgrammingSQL DevelopmentCloud Platforms (AWS, Google Cloud)AI/ML Application DevelopmentVersion Control and CI/CD
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ProcessingAPI IntegrationModel Workflow AutomationData ValidationExploratory PrototypingMetadata TaggingChunking TechniquesRegression TestingQuality MeasurementContainerization
Soft Skills
Strong CommunicationCollaboration with StakeholdersAdaptability to AmbiguityOwnership and InitiativeQuick Learning
Tools & Technologies
AI APIsOpen-Source Language ModelsLangGraphData Governance ToolsDocumentation Standards
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Data Science
Industry Keywords
AI EngineeringData EngineeringMachine LearningSoftware DevelopmentStartup EnvironmentHigh-Growth EnvironmentSupply Chain ContextsOperations Contexts
Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- Implement well-defined AI, data, and backend engineering tasks under guidance from senior engineers.
- Build and maintain smaller components of RAG pipelines, agent workflows, data pipelines, and internal AI tools.
- Write clean Python and SQL code for data processing, API integrations, model workflows, and automation tasks.
- Help prepare, clean, transform, and validate datasets used by research, product, and AI systems.
- Support retrieval workflows by improving chunking, metadata tagging, embeddings, search quality, and evaluation datasets.
- Assist with testing and evaluating AI outputs, including prompt tests, regression checks, and basic quality measurements.
- Conduct exploratory prototyping of new AI/ML approaches and evaluate emerging models, frameworks, and techniques
- Work closely with research, product, and member-facing teams to understand data requirements and deliver clean, reusable data products
- Learn and apply engineering best practices around version control, testing, CI/CD, data governance, and maintainable code.
- Contribute to engineering standards, documentation, and processes as the team scales
Requirements
What you’ll need- 2–3 years of experience in software, data, ML, or AI engineering roles, ideally in startup or high-growth environments, with examples of work you have taken through to production
- Strong Python and SQL skills, with experience building software deployed in production cloud environments
- Experience implementing or building applications using LLMs, AI APIs, or open-source language models
- Working knowledge of cloud platforms such as AWS or Google Cloud
- Familiarity with modern software development practices, including version control, testing, code review, containerization, CI/CD, and API development
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related technical discipline, or equivalent industry experience demonstrating strong software engineering fundamentals
- Master's degree in Data Science, Data Engineering, Artificial Intelligence, or a related technical discipline
- Strong communication skills and ability to work with technical and non-technical stakeholders to understand needs and explain complex ideas clearly
- Eligible to work in the UK
- Able to work 4 days per week on-site
- A genuine interest in agentic AI systems and emerging LLM-based architectures and frameworks such as LangGraph
- Comfortable with ambiguity and excited to learn quickly, take ownership, and grow with the team as we scale
- Knowledge of supply chain and operations contexts is a plus.
- Experience working cross-functionally with research teams, product teams, or member-facing commercial teams is a plus.
Benefits
Comp & perks- Unlimited holidays
- Private healthcare & Life Insurance
- Enhanced pension
- Enhanced Parental Leave Policy
- Custom designed offices with free breakfasts & snacks
- Zero100 is an Equal Opportunity-Affirmative Action Employer, welcoming applications from individuals of all backgrounds. We embrace diversity and inclusion in our workplace.