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Tech Stack
Tools & technologiesBigQueryCloudDockerGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Architect AI Solutions: Build and deploy production-grade AI features, including RAG (Retrieval-Augmented Generation) pipelines, LLM orchestrations, and Agentic workflows using Vertex AI.
- Develop Core Logic: Write clean, maintainable, and highly efficient code in Python to support AI model integration and data-intensive applications.
- Optimize Model Performance: Fine-tune models for specific business logic and optimize LLM prompts to ensure accuracy, relevance, and safety for enterprise use cases.
- Engineer Data Sources: Optimize and manage data sources and vector databases to ensure high-quality retrieval for context-aware AI systems.
- Collaborate Globally: Work closely with US-based product owners and European delivery teams, requiring a proactive communication style and flexibility for early-morning syncs.
- Ensure Quality: Champion best practices in AI observability, evaluation frameworks, and automated testing to ensure the reliability of enterprise-level deployments.
- Consult with Clients: Partner with clients to develop new AI concepts and enhancements, translating business goals into technical AI roadmaps.
Requirements
What you’ll need- 4+ years of professional experience in software engineering, with a significant focus on AI/ML implementation.
- Mastery of the Vertex AI ecosystem and proven experience integrating LLMs into production-grade applications.
- Mastery of the Python ecosystem, specifically libraries used for AI development and data manipulation.
- Hands-on experience with Google Cloud Platform services, specifically Vertex AI, BigQuery, and Cloud Functions.
- Proficiency with Docker and CI/CD pipelines as they apply to MLOps workflows.
- Fluent English skills with the ability to discuss technical trade-offs clearly with both peers and stakeholders.
Benefits
Comp & perks- Work from Home Allowance
- Private Medical Insurance for family group
- Birthday leave
- 10 paid learning days per year
- Bonusly 100 points per month to recognise colleagues
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI/ML implementationRAG (Retrieval-Augmented Generation)LLM orchestrationAgentic workflowsModel fine-tuningData-intensive applicationsAutomated testingMLOpsData manipulation
Soft Skills
Proactive communicationFlexibilityCollaborationClient consultationTechnical trade-off discussion