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The AI-Native Backend Engineer will design and build scalable backend services, APIs, and data pipelines to support LLM and agent-based products. The role focuses on productizing frontier AI models by integrating tools like Prompt, Skills, and MCP.
This role involves designing and building backend infrastructure for AI platforms and agentic workflows, including API development, task orchestration, and LLM integration. The engineer will work with Golang or Python to scale services and productionize AI models.
Moreton Capital Partners is hiring a DevOps Engineer to manage and scale cloud infrastructure, CI/CD pipelines, and monitoring systems for their systematic commodities trading platform. The role involves using AWS, Terraform, Python, and Docker to support production reliability and automate engineering workflows.
The Senior Full Stack Developer will build and maintain a document intelligence platform using React, TypeScript, Node.js, and Python. The role involves developing extraction pipelines that utilize LLMs and OCR, as well as integrating with enterprise systems like Microsoft 365.
Cloud & AI Security Architect leading security strategy for multi-cloud environments (Azure, AWS, GCP) and AI/MCP Agent technologies within a financial organization.
Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.
The Solutions Engineer will work directly with customers to implement production-ready AI and software solutions using LLMs, MLOps, and cloud infrastructure. This role bridges technical expertise and customer success to drive product adoption and roadmap development.
Builds full-stack features for a task-management platform using Python/FastAPI backend, SvelteKit frontend, and Kotlin Multiplatform mobile app with AI integrations.
The Lead Data and AI Solution Engineer will oversee the deployment, automation, and governance of GenAI and Agentic AI pipelines. The role focuses on optimizing operational processes, monitoring performance, and ensuring scalable, compliant AI services using frameworks like LangChain and various cloud platforms.
Senior/Staff Data Engineer designing scalable ETL/ELT pipelines for structured and unstructured data (sensor, image) and operationalizing agentic AI workflows, using Python, SQL, and AI orchestration frameworks at a semiconductor company.
The Senior Full Stack Developer will design, build, and maintain scalable web applications using React, TypeScript, Node.js, and NestJS. The role involves taking ownership of complex features, mentoring junior developers, and collaborating with technical leads on architecture and deployment.
The Mid-Level Full Stack Developer will build and maintain web applications using React, TypeScript, Node.js, and NestJS. The role involves managing the full development lifecycle, including database integration, API development, and troubleshooting across the stack.
ServiceNow Developer designing, building, and supporting ServiceNow catalog items, custom applications, Now Assist AI features, and integrations using JavaScript and the ServiceNow platform for a specialty insurer's IT services arm.
The AI Agent Developer / DevOps Engineer will develop and maintain AI agents and cloud-native backend components using Azure OpenAI and containerized services. The role involves designing agent architectures, managing CI/CD pipelines, and ensuring system security and observability within a public sector consulting environment.
The Python Developer will build and maintain applications using Python, focusing on AI/ML integration and CI/CD pipelines. The role involves working with frameworks like PyTorch and LangChain, as well as managing databases and cloud infrastructure.
The Senior Product Manager will lead the development of Classiq's agentic experience, bridging natural-language user inputs with quantum program synthesis. This role involves managing the product roadmap, defining agentic architecture requirements, and establishing evaluation frameworks for AI performance.
This role involves building agentic AI systems to support rare disease research at the NIH, focusing on conversational workflows that capture structured data from clinical and scientific sources. The position requires extensive experience in production-grade LLM application engineering, including prompt engineering, structured output, and system evaluation.
AI Platform Architect designing and governing enterprise AI agent infrastructure, MCP servers, RAG pipelines, and CI/CD pipelines across Azure AI Foundry, Microsoft Copilot Studio, Snowflake Cortex AI, and Claude.
Junior full-stack developer building web apps, automations, and LLM-based tools using AI-assisted workflows (Claude Code, Copilot, Cursor) for an Italian Home Fashion company's digital transformation.
Backend Engineer (Python) building scalable services, APIs, and LLM-powered features for an AI-first finance platform, working with Python, AWS, SQL, and REST APIs.
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