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The Senior Machine Learning Engineer will design, build, and operate production-ready NLP and LLM pipelines using AWS, Kubernetes, and Python. The role involves owning the full ML lifecycle, including RAG development and model fine-tuning, to deliver narrative analytics for mission-critical client projects.
Build and maintain scalable AI infrastructure, including embedding spaces and MCP servers, to turn experimental models into production-ready features for WPP’s global adtech platform.
Senior engineer builds autonomous AI agents and retrieval systems to modernize legacy software for federal healthcare, delivering explainable, traceable answers from decades of source code.
Senior front-end engineer building an AI platform that lets engineers query legacy codebases in plain English, with explainable, traceable answers; core stack is React, TypeScript, and streaming APIs.
Lead the design and implementation of AI platforms and strategies, focusing on Generative AI, LLMs, RAG, and AI agents for enterprise solutions in a remote role.
About Jakala We are Jakala — a data, AI and experience agency. Our team builds production-grade web applications and applied AI systems for enterprise clients in the healthcare and life sciences space. The work spans…
The Senior AI Engineer will design and implement evaluation pipelines, observability frameworks, and quality metrics for AI-powered features within a board intelligence platform. The role involves hands-on development in Python or C#/.NET to ensure LLM-based systems are reliable, cost-effective, and performant in production.
Hands-on lead engineer shipping production C#/.NET services, React/TypeScript frontends, and Python-based LLM agentic applications across risk, compliance, and AI-powered payments platforms on Azure/AKS.
The Associate Fullstack Developer will design and maintain scalable backend services using C# and ASP.NET Core while contributing to React/Next.js frontend features. The role involves working with SQL Server, Azure cloud services, and implementing secure authentication protocols in a venture studio environment.
A client-embedded AWS Pre-Sales Engineer focused on AI/data transformation, designing AWS-based solutions, building live demos, and leading deal origination for enterprise clients.
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…
Build and deploy production-grade data pipelines and LLM-based solutions for clients, using Python, SQL, dbt, Spark, Airflow, and frameworks like LangChain or LlamaIndex.
The Associate Fullstack Developer will build and maintain responsive user interfaces using React and Next.js while collaborating on .NET backend tasks. The role involves integrating APIs, managing state, and deploying applications to Microsoft Azure within an R&D venture studio environment.
Design and ship production LLM/GenAI agentic workflows for an AI-powered bid management SaaS platform, owning the full cycle from prototyping through evaluation, deployment, and observability on Azure using Python.
The AI Architect will design and deliver enterprise-grade Generative and Agentic AI solutions on the Microsoft Azure platform for a government project. The role involves architecting RAG systems, managing AI agents, and ensuring secure, scalable production deployments.
This role involves leading data analytics and AI initiatives, specifically focusing on developing and improving NLP and generative AI solutions within a legal technology environment. The position requires extensive experience with the Azure AI ecosystem, Python, and machine learning to build scalable, cloud-based applications.
The AI Platform Engineer builds and operates enterprise GenAI and LLM platforms, focusing on MLOps frameworks, RAG, and CI/CD automation. The role requires expertise in Kubernetes, Docker, and Python or TypeScript to support distributed AI services and developer experience.
Build and improve ML ranking models for Canva’s private search, using ElasticSearch and vector search to surface user content with high relevance and recall.
Designs and maintains production-grade data pipelines for AI/ML and RAG systems, focusing on ingestion, transformation, and vector search infrastructure (pgvector, Pinecone). Ensures data governance, compliance, and quality for regulated sectors like healthcare and government.
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