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Build and maintain scalable Python backend services using FastAPI, Neo4j, and PostgreSQL for a high-profile international programme focused on geospatial and temporal data.
Builds and maintains backend services in Go/Java for a cloud-native security platform that uses runtime data to prioritize risks and protect AWS/GCP/Azure environments.
Build and scale cloud infrastructure and CI/CD pipelines for a psychological science startup integrating generative AI and ML, ensuring reliability, security, and rapid product delivery.
Build and scale cloud infrastructure and CI/CD pipelines for a behavioral-science AI platform, deploying ML models and ensuring reliability, security, and observability across AWS/GCP/Azure.
Design and build scalable data platforms and AI-driven architectures for enterprises, using AWS/Azure services, Python, and modern data patterns to enable AI transformations.
Builds scalable Java backend services and REST APIs for complex engineering applications in the energy sector, processing large volumes of data into real-world solutions.
Build backend systems that correlate real-time cloud security data into actionable risk maps using Kubernetes, Go, and AI-driven detection pipelines.
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
About ArangoDB Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason,…
Build and deploy ML models for healthcare analytics, refactoring data scientists' models into production batch jobs and optimizing cloud costs on AWS.
Build and deploy agentic AI systems—multi-agent workflows, RAG, knowledge graphs, and context engineering—on top of hosted foundation models to automate enterprise controls and improve operational efficiency.
Build and scale a cloud security platform using Go, Python, and AWS, collaborating with cross-functional teams to automate data protection and governance.
Job Summary Seeking an experienced Senior Software Engineer to support mission-critical customer requirements The successful candidate will lead and mentor a team of UI developers while remaining hands-on throughout…
Build AI assistants that let users create and manipulate 3D scenes via natural language, integrating LLMs, NLP pipelines, and knowledge graphs for creative workflows.
Cloud Operations Engineer Location: Remote: India Department: Cloud Operations About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent…
Build and scale Palo Alto Networks' Cortex data platform, processing billions of security events per second and applying AI to turn raw telemetry into actionable threat intelligence.
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing distributed systems, agent protocols, LLM infrastructure, and cloud-native stacks to support secure, scalable agent workloads across the enterprise.
Build and maintain Procore’s internal database infrastructure to support scalable, reliable data pipelines and tools for engineering teams.
Leads enterprise ontology strategy and data enablement to support AI initiatives, bridging business units and IT while establishing semantic standards and governance workflows.
Build AI assistants that help users create and interact with 3D content using NLP, LLMs, and knowledge graphs.
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