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This role involves developing production-ready AI services and APIs using Python, with a focus on LLM integration, RAG pipelines, and agentic workflows. The developer will work with asynchronous frameworks like FastAPI and various database technologies.
Build Harbor Compliance's first end-to-end data platform — designing real-time streaming/CDC pipelines, vector database infrastructure for AI use cases, and a cloud warehouse/lakehouse layer using Kafka/Flink/Debezium, dbt, and Snowflake/BigQuery/Databricks.
The Junior AI Software Engineer will build and maintain AI-powered applications and services, focusing on LLMs, RAG, and agentic workflows. The role requires 2-4 years of software engineering experience and proficiency in Python, JavaScript/TypeScript, or Java within an Azure cloud environment.
The Junior AI Software Engineer will build and maintain AI-powered applications, integrating LLMs and agentic workflows into scalable backend and full-stack systems. The role focuses on leveraging cloud technologies, primarily Azure, to develop modern AI solutions.
The Lead AI Engineer will design and deploy production-grade LLM and agentic AI systems using Python, RAG, and cloud infrastructure. The role requires extensive experience in full-stack development and advanced AI techniques like knowledge graphs and embeddings.
Wil jij bouwen aan AI-software die niet op de plank blijft liggen, maar dagelijks wordt gebruikt door accountants, financieel specialisten en klanten? Als Senior Backend Engineer werk je aan de technische basis van…
The AI Lead Architect will design and oversee the implementation of enterprise-grade AI solutions using Microsoft Copilot Studio, RAG, and the Power Platform. This role focuses on defining technical architecture, governance, and security standards for AI agents within a large financial services environment.
The Senior Data Scientist will design, develop, and deploy AI models using transformer architectures and foundation models to analyze telemetry data for ArcGIS users. The role involves fine-tuning models with LoRA/QLoRA, building evaluation frameworks, and collaborating with cross-functional teams to deliver production-ready AI solutions.
Builds and deploys production-grade AI systems for legal tech, focusing on generative AI, RAG, and agentic workflows to enhance LLM-powered drafting and retrieval solutions. Combines deep AI expertise with software engineering to ensure scalability, reliability, and observability.
The Senior Manager of Security Engineering leads a distributed team to protect 6sense's AI-enabled, cloud-native SaaS platform. This role oversees vulnerability operations, infrastructure security, and product security, balancing strategic leadership with technical execution to ensure secure product delivery.
Lead AI Engineer setting technical direction for AI-powered product development—designing LLM workflows, RAG pipelines, and agentic features—while delivering full-stack code (Python/Node.js, AWS, React) for FCA-regulated financial services.
Build AI-native tools, LLM workflows and AWS infrastructure for a PR/communications consultancy, primarily using Claude Code, Python and LLMs to ship practical AI capabilities from prototype to production.
Senior Software Engineer at Qdrant building the cloud platform that powers their open-source vector search engine, focusing on core services, APIs, and abstractions for AI applications.
Staff Software Engineer designing and evolving core cloud platform services, internal APIs, and abstractions for Qdrant’s AI-powered vector search engine, focusing on scalability, reliability, and developer productivity.
The Junior AI Engineer will develop and deploy end-to-end AI applications, including LLMs and RAG systems, using Azure and Databricks. The role involves building scalable AI pipelines and collaborating with departments to implement AI use cases within a high-tech environment.
The Junior AI Engineer will develop and deploy production-ready AI applications, including LLMs and RAG systems, using Azure and Databricks. The role involves building AI services and pipelines while collaborating with stakeholders to implement innovative AI solutions.
Develops and operates production-grade multi-agent systems and autonomous workflows, focusing on RAG architectures, knowledge graphs, and hybrid retrieval strategies for AI-driven document processing and LLM optimization.
Solution Engineer at Snowflake partners with customers to demonstrate and implement the AI Data Cloud platform, conducting demos, POCs, and technical evaluations to drive adoption and value.
Manages end-to-end RFP and proposal responses, coordinating Sales, Engineering, and Legal teams to deliver compliant, high-quality customer submissions.
Builds and deploys AI/ML and agentic systems as a Senior Engineer, focusing on robust backend APIs, production-grade pipelines, and cross-team collaboration to integrate AI solutions.
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