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AI Solutions-Delivery Enablement (Gurgaon)
4 Yrs - 9 Years+ Exp. in (Agentic AI Solutions) Must Have. Budget - Upto 60 LPA (Basis Positions) 5 Days (Hybrid) - General Shifts Please Call - 9999869475 Required Candidate profile AI Production Line -Agentic AI…
AI Engineer Trainee
Gestalten Sie den digitalen Wandel mit uns Wir sind konstant auf der Suche nach Menschen, die Veränderungen vorantreiben und die Welt von morgen mitgestalten wollen. Gemeinsam mit unseren Kunden möchten wir wachsen und…
Senior Staff Architect
Senior Staff Architect owning the big-picture architecture of Altium 365, Renesas/Altium's cloud platform for electronics design. Day to day: driving domain-driven design, API/platform openness strategy, AI-agent (MCP) security, ADRs and mentoring — hands-on in C#/.NET across a microservices, multi-tenant SaaS and on-prem platform.
Specialist Solution Engineer, Data & Analytics
Pre-sales Solution Engineer acting as the Tableau subject-matter expert across ANZ: partnering with Account Executives on discovery, storytelling demos, workshops and RFP responses to win analytics deals. Core stack is Tableau Cloud/Server/Next, CRM Analytics, Data 360, Agentforce and generative AI (LLMs, RAG, MCP).
Pessoa desenvolvedora full stack .net sênior
Senior full-stack .NET developer at B2e Group in Brazil: builds and maintains .NET microservices on AWS and Windows servers, develops front-ends in Razor/React/Angular, creates APIs, keeps automated build/deploy pipelines running in Azure DevOps, and uses Claude AI tools across the software development lifecycle.
Desenvolvedor backend .net pleno
Pleno-level .NET backend developer building REST APIs and microservices in C# with Kafka/RabbitMQ, Redis, DDD/clean architecture, Kubernetes, CI/CD and AWS, plus applied LLM work (RAG, LangChain/Semantic Kernel, prompt engineering). Fully remote CLT role, Monday-Friday 9:00-18:00.
[talentos] dev backend .net - pleno (ia)
Mid-level (pleno) backend .NET developer, fully remote in Brazil, building C# REST APIs and microservices (DDD, Kafka/RabbitMQ, Redis, Kubernetes, AWS) with a strong AI focus: integrating LLM APIs, RAG/embeddings, LangChain/Semantic Kernel, and standardizing AI-assisted coding in the repo.

