Live opening · Posted 17 days ago
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About CodeSizzler
CodeSizzler (India | UAE) is a Microsoft Solutions Partner dedicated to empowering enterprises and professionals to harness the full potential of Data and AI. We build high-impact, intelligent automation systems and provide end-to-end enablement on modern data and AI platforms. Combining engineering rigor with a mission-driven mindset, CodeSizzler delivers production-grade enterprise transformations that drive measurable business outcomes.
Role Overview
Position: Senior AI Systems Engineer (Azure & Multi-Agent) - Immediate Joiner
Location: Remote
We are looking for a Senior AI Systems Engineer who should be an Immediate Joiner to design, build, and deploy production-grade agentic AI solutions on Microsoft Azure. In this role, you will own the full engineering lifecycle—from architecting multi-agent orchestration workflows to shipping stateful Copilot Studio extensions and enterprise RAG pipelines.
This is not a "prototype or demo" role; we are looking for a true systems engineer who builds robust, scalable, and secure AI architectures for enterprise clients.
Key Responsibilities
Architect and implement multi-agent systems using Azure OpenAI alongside frameworks like Semantic Kernel, AutoGen, or LangGraph.
Build and extend enterprise Microsoft Copilot Studio solutions, custom connectors, and Microsoft 365 Copilot plugins.
Engineer high-performance RAG pipelines leveraging Azure AI Search, dense/hybrid vector embeddings, and persistent memory management.
Deploy, scale, and monitor containerized AI workloads on Azure Container Apps, Azure Functions, and Azure AI Foundry.
Collaborate with data engineering teams to integrate agent tools with enterprise APIs, databases, and enterprise data fabrics.
Own solution delivery end-to-end: PoC validation, architecture review, security hardening, production rollout, and post-go-live optimization.
Requirements
Minimum 4+ years of professional software engineering experience, including 2+ years dedicated to building and deploying GenAI/LLM applications in production.
Deep, hands-on expertise with the Azure OpenAI Service and orchestration frameworks (Semantic Kernel, LangChain, or LangGraph).
Strong proficiency in Python, with a solid grasp of async programming, FastAPI, and containerization (Docker, Azure Container Apps).
Practical mastery of prompt orchestration, function/tool calling, structured outputs, and autonomous agent patterns.
Proven experience with vector search engines (Azure AI Search, pgvector, Qdrant) and retrieval-augmented generation architectures.
Nice to Have
Hands-on builds with Copilot Studio (custom topics, Power Automate integration, Teams/web deployments).
Active Microsoft certifications: AI-103 (Azure AI Engineer Associate), Azure Developer Associate, or related Azure AI credentials.
Public GitHub repositories showcasing agentic workflows, open-source AI tooling, or LLM benchmarks.
Working knowledge of Responsible AI practices, guardrails, and Azure AI Content Safety integrations.
Work arrangement
Hybrid
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