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Principal Product Manager owns AI-focused features for Couchbase’s operational data platform, driving strategy, roadmaps, and launches for vector search, RAG, and agent frameworks while collaborating with engineering and GTM teams.
Build and operate D-Wave’s internal AI platform, integrating LLM tools, CI/CD pipelines, and cloud services to automate workflows and accelerate quantum-computing development.
Build a social travel platform using full-stack skills and AI/LLM features like itinerary generation and smart recommendations to help users plan unique trips and meet like-minded travelers.
Build and optimize scalable data pipelines and AI-ready systems, including vector search, RAG, and retrieval pipelines, using Databricks, Spark, and Python.
Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.We give Entrepreneurs time back to focus on what they love doing - growing their business and…
Build and maintain enterprise-scale data pipelines and AI solutions using SQL, Python, Databricks, and Azure services to power analytics and generative AI for a real-estate-focused company.
Build and maintain an enterprise-scale data platform that powers AI agents, knowledge bases, and RAG systems using Python, GCP, and vector databases.
Builds AI-driven analytics and Databricks apps to transform customer intelligence into actionable insights, root-cause analysis, and executive storytelling for Xplore’s telecom operations.
Build and deploy AI applications on a central platform, focusing on RAG systems, LLM integrations, and data products to improve logistics operations.
Build and integrate AI-powered healthcare apps using MERN stack, Epic EHR/FHIR APIs, and GenAI features like LLMs and RAG while ensuring HIPAA compliance.
Build and deploy enterprise-grade AI agents and RAG systems using Google’s Gemini Enterprise stack, from front-end interfaces to production-grade retrieval pipelines and cloud infrastructure.
Leads AI strategy for a global product company, designing and scaling recommendation systems, user search, and autonomous agentic models (LLMs, RAG, orchestration) to improve discovery and personalization at scale.
Designs and deploys Generative AI solutions (LLMs, copilots, agents) to automate enterprise workflows, focusing on prompt engineering, RAG architectures, and responsible AI deployment with Azure OpenAI/AWS Bedrock.
Build and improve AI agents that automate go-to-market workflows like lead sourcing and enrichment, focusing on reliability, evaluation, and production robustness.
Middle Full Stack Developer (Generative AI) Location: Spain (100% Remote) Type: Full-time Compensation: 35K-45K About the Role We’re looking for a Middle Full-Stack Developer to build and deploy cloud applications for…
Senior Full Stack Engineer builds AI-powered search features using Python and React, deploys cloud-native services on GCP with Kubernetes, and enhances vector search systems.
Build and optimise search and discovery features for a membership platform using React, Node.js, TypeScript, Algolia/Elasticsearch, and AWS serverless services.
Build and maintain Java/Spring Boot backend services for an enterprise marketing supply chain platform, integrating AI via Amazon Bedrock and pgvector for retrieval workflows.
Builds and maintains high-performance backend services for an AI-driven marketing supply chain platform using Java, Spring Boot, AWS, and vector search.
Lead a team to design and build data pipelines, a knowledge graph, and AI-powered search for a scientific intelligence platform using graph databases and vector search.
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