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Design and implement AI-native application cores—LLMs, vector databases, RAG systems, and multi-agent orchestration—for web and mobile products, using Python, FastAPI, Docker, Kubernetes, and various vector DBs.
Data Engineer with 3+ years experience working on data migration and modernization projects, requiring strong Python and SQL skills, data pipeline/ETL/ELT experience, and some exposure to AI/LLMs/Agentic AI frameworks.
ML Platform Engineer builds and scales AI model pipelines, deploys ML services on Kubernetes, and maintains FastAPI-based inference APIs for a large insurer’s internal AI ecosystem.
Lead a team of engineers to build and deploy generative AI features, including conversational and agentic AI systems, for Anaplan's scenario planning platform.
The Senior Data Scientist/AI Engineer will lead the design and delivery of machine learning, optimization, and AI solutions within the Emirates Group Analytics Centre of Excellence. The role involves developing production-ready AI applications, including GenAI and LLM-based systems, while mentoring junior staff and partnering with business leaders to drive strategic value.
Команда «Цифровое управление» ищет сильного инженера, который возглавит направление разработки интеллектуальных инструментов на базе больших языковых моделей. Мы автоматизируем сложные управленческие процессы внутри…
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.
Develops autonomous agent systems that solve complex engineering problems via AI-driven exploration, optimization, and self-improvement, integrating LLM post-training and multi-agent workflows for production-grade solutions.
The Lead Data and AI Solution Engineer will oversee the deployment, automation, and governance of GenAI and Agentic AI pipelines. The role focuses on optimizing operational processes, monitoring performance, and ensuring scalable, compliant AI services using frameworks like LangChain and various cloud platforms.
The DevOps Engineer (AI/ML) will design, deploy, and maintain LLM-based agent applications and cloud infrastructure for healthcare pharmacy systems. The role focuses on building scalable AI platforms, optimizing agent workflows, and ensuring reliable deployments using Python and cloud-native technologies.
This role involves building agentic AI systems to support rare disease research at the NIH, focusing on conversational workflows that capture structured data from clinical and scientific sources. The position requires extensive experience in production-grade LLM application engineering, including prompt engineering, structured output, and system evaluation.
Design, build, and ship end-to-end AI-powered applications—retrieval pipelines, LLM orchestration, backend APIs, and user interfaces—for a Singapore government job platform, primarily using Python, LLM APIs, and vector databases.
Staff Back-end Engineer on Coupang's supply chain automation team in Shanghai, leading LLM/Multi-Agent system architecture and core backend development (Java/Python) for automated inventory ordering and AI agent platforms.
Senior Data Scientist applying ML, generative AI, and agentic systems to detect and prevent Medicare/Medicaid fraud, waste, and abuse using Python, Spark, and LLM orchestration tools.
About the team Digital Enablement is Nexperia's fast-track enabler of AI & Digital use-cases and platform enablement. We operate as one global practice across Nijmegen, Hamburg, Kuala Lumpur, Seremban and…
Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
Hands-on AI Engineer building production agentic workflows for real estate diligence, planning, and execution using LLMs, Python, RAG, and agent frameworks in NYC.
Architect and deliver production-grade agentic AI solutions that enhance cybersecurity operations (threat detection, investigations, incident response, offensive security) using Python, LLM APIs, LangGraph, and Amazon Bedrock at a large financial services firm.
Design, implement, and deploy production-ready agentic AI systems using LLM reasoning, RAG, and multi-agent orchestration with Python and AWS, applied to semiconductor design workflows.
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