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Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
This senior full-stack role involves building agentic AI workflows and intelligent call-center systems using React, Next.js, Node.js, and Python. The engineer will own end-to-end development, from architecture design to production deployment of AI-driven operational tools.
The Principal AI Engineer will manage the infrastructure, deployment, and reliability of production-grade agentic AI systems using AWS Bedrock, Terraform, and containerized runtimes. This role focuses on scaling AI pipelines, ensuring security through IAM, and maintaining observability for agentic workloads.
The AI Platform Engineer will design and operate enterprise AI/GenAI platforms, focusing on LLMOps, MLOps, and building reusable AI services like RAG and inference APIs. The role also involves developing CI/CD pipelines and coaching teams on DevOps best practices within a capital markets environment.
This role involves building and maintaining secure, scalable backend microservices for digital banking platforms using Java, Spring Boot, and Kafka. The engineer will lead distributed systems design and mentor team members while ensuring high availability and performance in a regulated financial environment.
The Senior AI Engineer will build and deploy production-grade LLM features into the Kayzen mobile demand-side platform console. This role focuses on practical, full-stack AI development, including RAG and agentic systems, rather than academic research.
Build and scale an enterprise-grade AI platform, integrating LLMs, vector databases, and distributed systems in Python to deliver scalable backend services and intelligent product features.
Senior Staff Engineer builds and evolves Bloomreach’s large-scale, low-latency search platform using Java/Python and cloud infrastructure, combining traditional IR with ML-driven ranking and semantic search.
Leads GCP-based data engineering for a customer-experience tech firm, designing scalable pipelines, GenAI infrastructure, and governance frameworks while mentoring teams and partnering with clients.
The Senior Machine Learning Engineer will design, build, and operate production-ready NLP and LLM pipelines using AWS, Kubernetes, and Python. The role involves owning the full ML lifecycle, including RAG development and model fine-tuning, to deliver narrative analytics for mission-critical client projects.
Build and maintain scalable AI infrastructure, including embedding spaces and MCP servers, to turn experimental models into production-ready features for WPP’s global adtech platform.
Senior engineer builds autonomous AI agents and retrieval systems to modernize legacy software for federal healthcare, delivering explainable, traceable answers from decades of source code.
Senior front-end engineer building an AI platform that lets engineers query legacy codebases in plain English, with explainable, traceable answers; core stack is React, TypeScript, and streaming APIs.
Lead the design and implementation of AI platforms and strategies, focusing on Generative AI, LLMs, RAG, and AI agents for enterprise solutions in a remote role.
About Jakala We are Jakala — a data, AI and experience agency. Our team builds production-grade web applications and applied AI systems for enterprise clients in the healthcare and life sciences space. The work spans…
The Senior AI Engineer will design and implement evaluation pipelines, observability frameworks, and quality metrics for AI-powered features within a board intelligence platform. The role involves hands-on development in Python or C#/.NET to ensure LLM-based systems are reliable, cost-effective, and performant in production.
Hands-on lead engineer shipping production C#/.NET services, React/TypeScript frontends, and Python-based LLM agentic applications across risk, compliance, and AI-powered payments platforms on Azure/AKS.
The Associate Fullstack Developer will design and maintain scalable backend services using C# and ASP.NET Core while contributing to React/Next.js frontend features. The role involves working with SQL Server, Azure cloud services, and implementing secure authentication protocols in a venture studio environment.
A client-embedded AWS Pre-Sales Engineer focused on AI/data transformation, designing AWS-based solutions, building live demos, and leading deal origination for enterprise clients.
Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated…
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