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Hands-on software engineer manager building AI-driven workflow and automation solutions at State Street Investment Management using Python, Google Gemini Enterprise, LangChain/LangGraph, and cloud services in a regulated financial environment.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
Senior AI/ML Engineer defining architecture, standards, and governance for AI/ML platforms, agent frameworks, and MCP strategy within Network Intelligence at an ISP, primarily using Python, LLMs, and agentic orchestration technologies.
The Senior AI/ML Engineer will design and deploy enterprise-scale AI systems, including intelligent agents and copilots, using Python, LLMs, and RAG architectures. The role focuses on building scalable, production-grade AI services within a cloud-native environment.
Design and deliver enterprise-grade generative AI solutions using Azure OpenAI, LangChain, and RAG pipelines to build AI agents and scalable AI infrastructure.
Build and maintain Nexxen’s internal AI platform, designing reusable AI capabilities, multi-agent systems, and production-grade AI services using Python, Kubernetes, and modern cloud-native tools.
Architect and build production-grade GenAI systems including RAG pipelines, LLM integrations, and agentic applications using Python, FastAPI, vector databases, and cloud platforms (AWS/Azure) at a data analytics scale-up.
Lead AI Back-End Engineer designing and scaling an LLM-powered agent platform using Python/C# APIs, Semantic Kernel, and retrieval systems like pgvector/Azure AI Search. Focuses on agent orchestration, cost/latency optimization, and mentoring engineers.
Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native…
The Full Stack AI Engineer designs and builds scalable AI solutions using LLMs, RAG architectures, and vector databases to automate enterprise workflows. The role requires expertise in Python, cloud-native development, and MLOps/LLMOps to deliver secure and compliant AI applications.
Senior/Staff engineer on an Enabling Team at Scalian, coaching dev squads and industrializing GenAI/Agentic workflows at scale—orchestration, tool calling, guardrails, observability, and on-premise deployment—using primarily Python and Node.js in containerized environments.
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
Agentic AI Engineer Position ID: P946333 Location: Hangzhou, China Employment Type: Full-time Role Summary We are seeking an experienced Agentic AI Engineer to design, build, and evolve enterprise-grade Agentic AI…
The Data Engineer Senior Manager leads the design and delivery of enterprise-scale data and AI solutions, including lakehouse architectures and generative AI applications. This role involves mentoring technical teams, driving digital transformation, and managing client relationships within a global advisory practice.
The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
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