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Platform Engineer responsible for designing, maintaining, and optimizing Azure-based integration platforms and APIs for a research institute bridging academia, business, and government. Focuses on cloud services, automation, and operational excellence to support innovation projects.
Build and maintain Java-based backend services while integrating AI features and agent workflows using modern AI frameworks.
Lead Xebia’s global cybersecurity strategy, operations, and AI/LLM security, overseeing incident response, cloud/identity security, and resilience while building a distributed security team.
Builds and evaluates AI-powered analytics tools like Talk2Data, ensuring data quality and governance while bridging technical and business needs.
The AI Architect will design and oversee AI platform architecture, including agent orchestration, governance standards, and human-in-the-loop workflows. The role focuses on building robust, observable AI systems and defining integration patterns for multi-model environments.
Builds full-stack AI-native applications by designing scalable architectures, integrating generative AI agents, and optimizing cloud infrastructure, bridging frontend/backend with product-focused problem-solving.
Zinkworks is hiring a Data Engineer to design and maintain scalable cloud-based data pipelines and models. The role involves using SQL, Python, and Apache Airflow to integrate data across relational, NoSQL, and graph databases for telecommunications and financial services clients.
Build the integration platform powering Dustin’s next generation of AI capabilities, with a key role in shaping how APIs, business services, and MCP connect to intelligent applications. Join a highly experienced team…
Build and modernize responsive, accessible fintech interfaces using React, Next.js, and Tailwind while migrating to micro-frontends and integrating AI tools.
Build and own Endor Labs' application security program, securing code, dependencies, and AI agents while shaping the product roadmap as a hands-on security engineer.
Mid-level fullstack developer maintaining and evolving an internal platform using Python, Django, FastAPI, JavaScript, and SQL databases, with system integrations and bug fixing.
Build and deploy LLM-based AI agents, RAG pipelines, and vector databases to automate workflows and boost engineering productivity using Python, LangChain/LangGraph, and cloud platforms.
This role involves designing and deploying AI-powered applications, including agents, copilots, and RAG solutions, using frameworks like LangChain and Python. The engineer will integrate these AI systems into enterprise environments and contribute to best practices for AI development.
What we’re looking for Great AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed…
Senior SDET Consultant on a 10-month contract performing manual and automated testing using Playwright, TypeScript, Java, and k6 in a hybrid role in Denver.
Designs end-to-end AI agent architectures for Intel's Agent Factory using Gemini Enterprise, Vertex AI, ADK, and related Google AI tools, defining reusable patterns, orchestration standards, and technical governance.
Role Overview We are seeking a highly experienced Senior Software Engineer to design, build, and scale our next-generation Agentic AI Platform. The role focuses on LLMs, RAG, Multi-Agent Systems, and MCP, with strong…
Principal Technical Architect defining and steering application, integration, cloud platform, and data architecture across FT Specialist and Community, using AWS, cloud-native design, domain-driven and event-driven architectures.
This role is for a product-focused engineer to build and deploy AI-powered agentic systems for an insurance brokerage. The engineer will work across the full stack to solve business problems and drive KPIs in a fast-paced, on-site environment.
Designs and builds AI systems end-to-end, integrating LLMs, RAG pipelines, and AI agents while optimizing performance and cost using modern AI coding tools.
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