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Forward Deployed Engineers (FDEs) are the people we put in the room when a problem is ambiguous, the data is messy, and a working solution needs to exist in weeks, not quarters As an FDE at Elixirr, you will embed with…
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…
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
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…
Overview Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) delivers end‑to‑end, industry‑aligned solutions by accelerating the adoption of Microsoft technologies. With a global team of…
The Principal AI Software Developer leads the design and implementation of large-scale, mission-critical AI and LLM systems for federal agencies using a modern cloud stack including Next.js, Terraform, and major cloud providers. This hands-on role involves architecting AI solutions, establishing MLOps practices, and ensuring compliance with federal security and AI policy standards.
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.
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.
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