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Builds and maintains scalable microservices in Rust and Python, deploys them on Kubernetes, and collaborates on cloud migrations and distributed systems.
Build and operate high-throughput ETL/ELT pipelines that ingest blockchain, exchange, and text data, then serve clean datasets and APIs for crypto-market analytics and risk models.
Builds and secures Neo4j’s cloud-based Identity and Access Management platform using Go and Kubernetes across GCP, AWS, and Azure.
Designs and builds enterprise-scale Neo4j graph databases, converting relational data into graph structures and optimizing Cypher queries with AWS, Kafka, Spark, Kubernetes, and AI/GenAI tools.
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.
Lead a team to design, build, and improve BHP’s core data and AI platforms, enabling scalable, self-service analytics and AI solutions for business decision-making.
Build and evolve a .NET-based knowledge-graph platform that powers industrial digital twins, integrating graph databases and cloud services to model physical facilities.
Technical Onboarding Engineer at Neo4j helps enterprise customers deploy and secure graph databases in cloud or hybrid environments, focusing on networking, IAM, and data modeling to accelerate time-to-value.
Job Summary: We are looking for a Senior AI Engineer to design and build production-grade Agentic AI and LLM-powered systems . The ideal candidate is a strong Python engineer with hands-on experience in RAG,…
Designs and builds high-performance data pipelines and retrieval systems to power AI-driven video insights, combining vector search, knowledge graphs, and semantic layers at scale.
Design and build the data infrastructure for a next-gen AI platform, focusing on vector search, knowledge graphs, and semantic retrieval at global scale.
Build and maintain large-scale data pipelines and lakes on AWS Databricks, integrating diverse sources and ensuring data quality for risk-intelligence products.
Build production-grade ML systems that detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Senior AI consultant designs and iterates LLM prompts, prototypes AI copilots, and builds RAG-based solutions using Python, LangChain, and vector databases for enterprise use cases.
Leads AI initiatives, designs and iterates prompts for enterprise copilots and low-code tools, and prototypes generative AI solutions using Python, LangChain, and vector databases.
Deploys and optimizes AI-driven drug-discovery workflows for clients, building LLM/RAG systems and data pipelines in live research environments.
Lead the end-to-end delivery of enterprise generative AI and agentic systems, architecting production-ready solutions using hosted foundation models, RAG, knowledge graphs, and multi-agent orchestration on AWS.
Build and scale the ML platform powering PubMatic’s adtech stack, designing pipelines for petabyte-scale data, GPU-accelerated training/inference, and RAG systems to troubleshoot bid streams and deliver AI-driven insights.
Build and lead a Java-based PIM system that standardizes and syndicates product data for global e-commerce, using Spring, Kafka, and cloud services.
Lead enterprise-scale GenAI projects, building Graph-RAG systems that combine LLMs with knowledge graphs for scalable, explainable AI solutions using Python, LangGraph, and cloud platforms.
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