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Quest Software seeks an AI Software Engineer to advance AI-first development practices for a cloud-native SaaS product on Azure. This role involves contributing to the codebase using C#/.NET, Python, and Azure/AWS technologies, while integrating AI coding agents to improve development speed and quality.
Position Description We are seeking a Generative AI Engineer to own the hands-on technical delivery of production GenAI systems - from architecture and implementation through deployment, operations, and continuous…
Architect and build the distributed platform that powers AI agents in production, including orchestration, memory, tool calling, and workflow coordination for enterprise environments.
Build and maintain backend services for an LLM gateway (routing, rate limiting, key management, observability) and support Kubernetes-based platform services, using Go, Rust, or async Python with Envoy, gRPC, and OpenTelemetry.
Build and maintain data infrastructure—ETL pipelines, cloud data warehouse, and automated reporting—for a private credit investment firm in Gurugram, working with loan-level datasets and integrating servicer/financial data sources using SQL, Python, and cloud warehouses.
Lead enterprise data platform and analytics initiatives with a focus on Azure Data Factory, Databricks, PySpark, and GenAI/Azure OpenAI solutions, while providing technical leadership and mentoring.
Senior Data Engineer on a 6-month contract building Azure data pipelines and AI solutions using Data Factory, Data Lake, Fabric, Databricks/PySpark, and integrating Azure OpenAI/RAG/LLM capabilities with Power BI reporting.
Build and maintain an enterprise data lake on BigQuery, design ETL pipelines in Python across ERP/CRM sources, and develop ML forecasting models and AI agents using LLM APIs.
Build and own the backend of a subscription-based SaaS platform using Python, FastAPI, PostgreSQL, and AWS, covering content APIs, payment integrations, AI system integrations, and real-time features.
Build and maintain an existing PHP backend while developing AI agents, RAG systems, and LLM integrations in Python for a SaaS product.
Python backend developer building production-grade Agentic AI/LLM applications using RAG, LangGraph/LangChain, and cloud platforms (Azure/AWS) for UST in Bangalore.
Python backend developer building and maintaining AI-enabled automation solutions using Python, REST frameworks (FastAPI/Flask/Django), databases, and LLM APIs for ArcelorMittal's internal digital consulting team.
Frontend Developer building and enhancing a responsive, high-performance e-commerce website for WIRmachenDRUCK (Cimpress), primarily using HTML5, CSS3, SCSS, JavaScript, jQuery, and AJAX, with Vue.js/Nuxt.js as a plus.
Data Engineer at Knowit Denmark building and operating big data pipelines and a data warehouse on Google Cloud (BigQuery) for a global client, feeding downstream marketing and CRM platforms like Salesforce.
This role involves designing and developing control and data plane software for Cisco's IIoT wireless and satellite networking products. The engineer will work on low-level components like BSPs and drivers while leveraging C/C++ and AI-assisted development tools.
Work From Anywhere in LATAM, PH, SA Work Schedule: EST │ 9:00 AM – 5:00 PM About Pearl Talent Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU.…
About the role and team Uber Advertising is looking for a Partner Manager in Argentina to build and grow strategic relationships with leading advertisers across our Mobility platform . In this role, you will own the…
Designs, builds, and scales enterprise-grade generative AI applications using LLMs, RAG, and Agentic AI on Microsoft Azure, integrating multiple data sources and ensuring reliability and governance.
Designs and builds AI/ML-powered automation solutions, including RAG pipelines, vector databases, and agentic workflows, while improving CI/CD and DevOps processes for Nokia’s products.
Build and own AI agent solutions that reinvent how Pearson’s workforce operates, turning concepts into adopted tools that empower learning at scale.
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