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Builds scalable microservices for Allegro’s AI Partner Assistant, handling real-time support under high load using Java/Kotlin.
Hybrid AI-enabled campaign manager leading end-to-end CRM campaigns for eBay’s owned channels, blending strategy, execution, and AI-driven personalization to optimize performance.
Business Analyst in financial services who partners with AI teams to design and deliver AI-enabled transformation programs for banks and investment firms.
Own the AI-powered features that automate feed setup and categorization for e-commerce marketplaces like Bol.com and Amazon, driving faster customer onboarding and reducing manual work.
Support UK and European defense clients in adopting autonomous air systems through pre-sales activities, technical architecture reviews, and SDK integration.
Designs and implements end-to-end GenAI and ML infrastructures covering the entire lifecycle of AI use cases, working with Kubernetes, Docker, Hugging Face, NVIDIA AI Enterprise, vLLM, LangChain, and cloud platforms like AWS, Azure, and Google Cloud.
AI Consultant developing generative AI solutions for public sector clients, focusing on NLP, RAG, LLMs, chatbots, and AI agents. Works in interdisciplinary teams to design and implement scalable AI systems while advising public sector clients on AI projects and compliance requirements.
The Solution Architect works with defense customers to solve complex technical problems, providing pre-sales support, acting as a technical liaison, driving customer adoption, leading customer engagements, and helping onboard customers onto Applied Intuition's developer toolchain. The role focuses on the UK & EMEA Defence sector and requires working with autonomous systems.
The Technical Program Manager will lead complex, cross-functional AI/ML projects within the Google Search Ecosystem, driving end-to-end engineering execution and strategy. The role involves managing program lifecycles, navigating technical ambiguity, and collaborating with global teams to integrate generative AI and LLM technologies.
The AI Engineer will develop embodied agents for humanoid robots, focusing on task planning, reasoning, and orchestration using LLMs and VLMs. The role involves integrating these models with physical hardware to enable autonomous, long-horizon task execution in real-world environments.
Lead the end-to-end production lifecycle of AI applications for international government partners, ensuring reliability, security, and compliance while bridging technical insights with high-level stakeholders.
Design and prototype AI-powered enterprise integrations using Box’s content-management APIs, then advise customers and feed insights back to product teams.
Oversee end-to-end software delivery for a finance-focused AI platform, removing cross-team bottlenecks and ensuring on-time releases while keeping stakeholders aligned.
The Business Analyst will lead end-to-end business intelligence projects for Google Cloud, building data models, pipelines, and AI agents to provide actionable insights for sales and GTM teams. The role involves translating strategic business needs into KPI frameworks and developing robust reporting infrastructure.
An AI/LLM engineer at Distrito is responsible for designing and developing scalable applications like chatbots and agents, integrating APIs from providers like OpenAI and Anthropic, and ensuring reliability and performance in production environments.
Lead development of LLM applications (chatbots, copilots, agents) using Python/Node.js, LangChain, vector DBs, cloud (AWS/GCP/Azure), and AI security; integrate model APIs, architect RAG pipelines, implement guardrails, and configure monitoring.
Develop Android mobile applications for LATAM operators, implementing requirements, collaborating with cross-functional teams, and contributing to AI/ML-related tasks including ML frameworks and LLMs.
Build and maintain .NET 8 backend services using AI coding agents; guide, review, and refine AI-generated code while ensuring clean architecture and production readiness.
The Principal Data Engineer will design and build scalable Big Data, analytics, and AI platforms while leading engineering projects and client communication. The role involves operationalizing AI models and mentoring teams using cloud-native technologies like Spark, Kafka, and various IaC tools.
The Principal Data Scientist leads interdisciplinary data and AI projects, developing data-driven solutions using machine learning, statistics, and cloud technologies. The role involves close client collaboration, technical implementation, and communication of complex results.
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