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Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
What happens when an AI or automation solution is already in production—but something goes wrong? We're looking for a Support Engineer – AI & Automation to help keep ATI's AI, LLM, and RPA solutions running…
Set the reliability strategy for Yuno’s AI-native payments platform on AWS, designing event-driven messaging, SLOs, and chaos engineering to keep global AI agents and payment flows running 24/7.
Lead a team to implement Playwright-based automation frameworks and AI-driven quality practices for PwC’s software products, mentoring engineers and optimizing testing workflows.
Build and deploy AI-powered applications using Azure AI services, RAG, and agentic frameworks like LangGraph to create intelligent, automated solutions for clients.
Design and build AI/ML solutions, including RAG systems and agentic workflows, using Python and cloud services while collaborating in an agile environment.
Build and lead AI-powered agent platforms, designing backend orchestration, LLM integrations, and evaluation systems for customer-facing applications using Node.js, TypeScript, and modern AI tooling.
Build and own Smeetz’s AI surfaces end-to-end: an MCP server and chatbot for European leisure venues, shipping features, reliability, and evals while driving discovery and measuring impact.
Build and deploy AI systems using LLMs, RAG pipelines, and agent frameworks like LangChain and Hugging Face, then run them on cloud platforms such as AWS or Azure.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. As a Full Stack Engineer , you will be part of a dynamic, DevOps-oriented team responsible for end-to-end software…
Build and deploy AI agents for healthcare using Python, LangChain, and RAG; integrate with EHRs and clinical systems while ensuring reliable, production-grade performance.
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.
Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment Retrieval pipeline with vector search, BM25 hybrid…
Build and teach enterprise teams to deploy production-ready AI agents using LangChain’s platform, running workshops and advisory sprints while automating internal enablement tools.
Hi, JavaScript full-stack Developer Location: Bothell ,WA Duration: Longterm Contract Client requirement in short: We need a solid line of JavaScript based full stack candidates. Not Java based full stack. 5 to 10…
Implement AI-specific security controls and guardrails for LLMs and AI systems, assess threats like prompt injection, and embed security into AI development pipelines at DHL.
Build and deploy production-grade agentic AI systems for enterprise clients, embedding with their teams to design, architect, and ship multi-agent workflows, RAG pipelines, and evaluation harnesses in Python and cloud environments.
Architect and own LSports’ GCP-based cloud platform and its agentic AI layer, designing scalable, secure systems for real-time sports data and LLM-powered automation.
Build and run large-scale, cloud-native systems that power Adobe’s AI features, including ML inference infrastructure, Kubernetes clusters, and automated patch management across AWS, Azure, and GCP.
QA Engineer for an AI-native platform; designs automated tests to catch LLM failures like hallucinations and biases, validates structured data extraction, and maintains ground-truth datasets in an AWS environment.
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