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Build and ship production LLM-based AI systems and agentic workflows on Dscout's UX research platform, focusing on evaluation, prompt engineering, agent behavior improvement, and production monitoring.
AI Product Manager at Dscout leading roadmap and strategy for AI/LLM-powered features on a UX research platform — prototyping directly with models, defining evaluation standards, and partnering across engineering, design, and GTM teams.
Principal Software Engineer at Precisely leads the design and architecture of high-performance Node.js-based SaaS applications, mentors engineers, and ensures alignment with business goals while leveraging AI tools for development.
Senior engineer embedded in Finance to design, build, and deploy AI systems that automate workflows, validate financial data, and enable executives to make faster, more accurate decisions using platforms like NetSuite, AWS, and Python services.
The Applied AI Engineer will build and maintain production-grade AI agents, machine learning models, and data-driven dashboards to support real-time decisioning and risk management. The role focuses on developing governed, auditable AI systems using Python, TypeScript, and SQL within a high-scale Web3 and iGaming environment.
About Understood Understood is a nonprofit focused on shaping the world for difference. We raise awareness of the challenges and strengths of people who learn and think differently. Our resources help people navigate…
Data Engineer building scalable batch and streaming pipelines, data products, and AI-facing integration layers (e.g., MCP servers) for an internal Agentic AI ecosystem using Python, SQL, dbt, orchestration tools, and cloud data platforms.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.…
Build and deploy production-grade AI and Generative AI solutions using Python, SQL, and LLM frameworks to improve customer experience and business efficiency.
Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI systems that move beyond prototypes and create real business impact? A leading healthcare technology company is hiring an…
AI Engineer in EY's consulting practice in Singapore, building and deploying GenAI/LLM-powered multi-agentic applications, NLP models, and end-to-end AI workflows using Python, cloud platforms (Azure, AWS), and frameworks like LangChain and LlamaIndex.
Architect Cisco’s AI-first agentic systems, defining long-term technical strategy for multi-agent orchestration, security, and hyperscale reliability while bridging research and production at enterprise scale.
Senior Data Scientist on the Gen AI Delivery team, responsible for fine-tuning, developing, and deploying generative AI models (LLMs, RAG, agentic workflows) using Python and deep learning frameworks for Caterpillar's digital products.
This role involves developing a generative AI-based multi-agent system for automating management processes at Sberbank. The developer will build scalable Java microservices that integrate with LLMs, RAG pipelines, and agentic frameworks to provide intelligent recommendations.
Builds and scales GenAI full-stack applications (RAG, intelligent agents) for clients, bridging backend (microservices) and frontend (React) while managing cloud infrastructure, CI/CD, and LLM monitoring.
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Designs and owns GTM systems (primarily Salesforce) for LangChain’s revenue org, translating ambiguous business needs into scalable processes and systems. Specifies requirements for engineers/AI agents, ensures quality, and aligns cross-functional teams (Sales, Marketing, Finance) on tradeoffs in a fast-moving environment.
Designs and builds scalable, secure AI/ML platforms for healthcare, focusing on agentic systems, RAG pipelines, and multi-modal AI applications with guardrails and observability. Leads architectural standards, cloud-native infrastructure (Azure/AWS), and AI governance for enterprise-grade solutions.
Build and own the ML/LLM stack for Spectrum, JetBrains’ AI-powered semantic layer that extracts, organizes, and reasons over code, docs, and issues to keep software systems aligned.
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