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We're Hiring · 3 Roles Open

Build the Future of Enterprise AI with Us

Join the team behind India's fastest-growing Microsoft AI practice. We ship production AI agents, data platforms, and cloud solutions — not slide decks. Every hire is a builder.

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50+
Enterprise Projects Delivered
19
Microsoft Certifications in Team
6
Industries Served — BFSI, Healthcare & more
India & UAE
Offices in Salem · Thrissur · Sharjah
Why CodeSizzler

A Team of Builders, Not Consultants

We get our hands dirty in production code. Every role here touches live enterprise systems, real clients, and cutting-edge Microsoft AI technology — with mentors who have shipped the same.

Real Projects, Real Impact

No endless POCs. We deploy multi-agent systems, enterprise data lakehouses, and Copilot extensions into production — for clients like ExxonMobil, AIG, and fast-scaling startups across six industries.

MVP & MCT Mentors

Learn directly from Microsoft MVPs and MCT Community Leads. We run internal Azure workshops, sponsor certifications, and actively shape the Microsoft tech community across India and UAE.

Azure-First Stack

Azure OpenAI, Microsoft Fabric, Copilot Studio, Semantic Kernel, Power Platform — you'll build with the full Microsoft AI ecosystem at the enterprise scale that sharpens careers and earns certifications.

Open Positions

3 Roles Open Now

All roles are full-time. We invest in your growth — certification sponsorship, conference access, and direct mentorship from senior practitioners shipping real enterprise AI.

Azure Data Engineer
🌐 Remote ⏱ 5+ Years ● Actively Hiring

Own data engineering delivery for enterprise clients. You'll design and build scalable Azure data platforms — from raw ingestion to BI-ready Gold layers — and collaborate closely with our AI team to wire the data foundations that power our agent products.

Key Responsibilities

  • Design end-to-end Azure data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric
  • Build Medallion (Bronze → Silver → Gold) Lakehouse architectures on Delta Lake and OneLake
  • Develop semantic models, Power BI reports, and real-time dashboards for enterprise stakeholders
  • Collaborate with AI engineers to create feature stores and training data pipelines for GenAI agents
  • Lead client-facing technical discussions, estimate project scope, and mentor junior engineers
  • Contribute to internal accelerators — reusable pipeline templates, CI/CD patterns, and IaC modules

Requirements

  • 5+ years in cloud data engineering (Azure preferred: ADF, Synapse Analytics, Azure Databricks)
  • Strong SQL, PySpark, and Python; hands-on experience with Delta Lake and Lakehouse patterns
  • Microsoft DP-203 or DP-600 certified — or actively pursuing within 90 days of joining
  • Hands-on Power BI development including complex DAX and dataset optimisation
  • Fluent English communication skills; prior client-facing or consulting experience is a strong plus

Nice to Have

  • Experience with Microsoft Fabric workspaces, Eventhouse, or Real-Time Intelligence
  • Exposure to AI/ML feature engineering or MLflow on Databricks
  • Familiarity with dbt, Great Expectations, or similar data quality tooling
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AI Engineer — GenAI & Multi-Agent Systems
📍 Bangalore, India 🏢 Hybrid ⏱ 3–8 Years ● Actively Hiring

Ship production-grade AI agents for enterprise clients. You'll own the full cycle — from designing multi-agent orchestration patterns to deploying stateful Copilot Studio extensions and RAG pipelines on Azure. Less "demo engineer", more "AI systems engineer".

Key Responsibilities

  • Design and build multi-agent systems using Azure OpenAI, Semantic Kernel, AutoGen, or LangGraph
  • Build and extend Copilot Studio solutions, custom connectors, and Microsoft 365 Copilot plugins
  • Implement RAG pipelines with Azure AI Search, vector embeddings, and stateful memory management
  • Deploy AI workloads on Azure Container Apps, Azure Functions, and Azure AI Foundry
  • Collaborate with data engineers to wire agent tools to enterprise data sources and APIs
  • Own AI solution delivery end-to-end — PoC, architecture review, production deployment, and post-go-live support

Requirements

  • 3–8 years of software engineering; 2+ years building GenAI or LLM applications in production
  • Deep hands-on experience with Azure OpenAI Service; familiarity with Semantic Kernel or LangChain
  • Proficiency in Python — FastAPI, async patterns, and containerisation (Docker / Azure Container Apps)
  • Practical knowledge of prompt engineering, tool/function calling, and agentic orchestration patterns
  • Experience with vector databases (Azure AI Search, Qdrant, pgvector) and embedding pipelines

Nice to Have

  • Copilot Studio builds — custom topics, Power Automate connectors, Teams channel deployment
  • Microsoft AI-900 / AI-102 certified; or Azure Developer Associate (AZ-204)
  • Open-source contributions to AI tooling or published agent demos on GitHub
  • Experience with Responsible AI frameworks and Azure AI Content Safety integration
Apply for This Role
Power Platform · Power Pages · Dataverse
Microsoft Power Pages Developer
🌐 Remote ⏱ 5+ Years ● OPEN

Design and deliver enterprise-grade Power Pages portals for our clients. You'll own the full portal lifecycle — from UX design and Dataverse integration to custom Liquid templating, security model configuration, and production deployment. You'll work alongside our AI and data teams to surface enterprise data through polished, secure external-facing web experiences.

Required Qualifications

  • 5+ years of hands-on experience with Power Pages (formerly Power Apps Portals) — building, configuring, and deploying enterprise portals
  • Deep understanding of Dataverse tables, relationships, views, and security roles as they apply to portal data access
  • Proficiency in Liquid templating language, JavaScript, HTML, and CSS for custom portal development
  • Experience configuring portal authentication — Azure AD B2C, local accounts, and external identity providers
  • Strong grasp of portal security: table permissions, column permissions, web roles, and entity-based access
  • Familiarity with Power Automate for portal-triggered workflows and backend process automation
  • Microsoft PL-100 (Power Platform App Maker) certified, or willingness to certify within 90 days of joining

Additional Qualifications

  • Experience integrating Power Pages with external APIs, custom connectors, and Azure services
  • Exposure to Copilot in Power Pages or AI Builder components for intelligent portal features
  • Familiarity with Power FX for declarative expressions within Power Platform solutions
  • Prior client-facing or consulting experience in a Microsoft partner environment is a strong plus
  • PL-200 (Power Platform Functional Consultant) or PL-400 (Power Platform Developer) certification is advantageous
Tech Stack
Power Pages Dataverse Liquid Templates Power Automate Azure AD B2C Power FX JavaScript AI Builder
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