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Senior role building and operating AI-powered DevOps platforms that automate software delivery, integrate LLM tools like Amazon Bedrock, and ensure scalable, secure AI infrastructure for engineering teams.
Build and scale the internal platform for AI agents, focusing on retrieval pipelines, orchestration, MCP servers, and observability using Python, Kubernetes, and Google Cloud.
Senior Solutions Engineer in Stockholm designs and demonstrates Neo4j graph database solutions for enterprise customers in finance, energy, telecom and public sector, bridging technical needs with business outcomes.
Build and deploy production-grade Generative AI services in Python, integrating LLMs, agents, and vector databases to power personalised travel experiences and smarter operations at Air New Zealand.
Senior role designing and deploying AI solutions using graph data and GraphRAG for enterprise customers, from discovery to production.
Design and deploy enterprise AI solutions using generative AI, RAG, and cloud platforms like Google Cloud, guiding customers through full project lifecycles.
Build and maintain scalable .NET backend services and RESTful APIs using C#, SQL, and AWS, integrating cloud-native and AI components for enterprise applications.
Build and extend an offline, edge AI data-triage app in Python/Flask with local LLM models, vector stores, and a browser UI for document processing and search.
Build and scale an internal AI coding agent platform using LLMs, RAG, and agentic workflows to improve developer productivity and reliability across Lendable’s fintech products.
Build and deploy ML models to personalize recommendations and connections across Bumble’s dating and social platforms using PyTorch/TensorFlow and modern AI techniques.
Build and deploy LLM-powered AI agents for a cloud platform that turns renewable energy operational data into actionable insights for global monitoring and optimization.
Data Scientist at Fifty5Blue’s NEXT innovation hub building AI-native audience-intelligence products, leading ML research for cross-media measurement, panel calibration, and synthetic data methods.
Build and operate production-grade AI agents and services for digital advertising, using LLMs, agentic workflows, and AWS deployments.
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Build AI-powered CRM demos and prototypes using LLMs, Salesforce, and full-stack engineering to solve enterprise challenges and showcase solutions to clients.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Designs and implements large-scale generative AI systems with multi-agent architectures, RAG, and enterprise cloud integrations for Australian clients.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Build and scale a high-performance search platform using OpenSearch, Python/FastAPI, and vector search (embeddings, ANN/HNSW) to power GigaChat and LLM queries with low-latency, relevance tuning, and hybrid search.
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