This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Our digital transformation lead builds fast — prototyping AI applications, LLM-powered tools, and Power Platform solutions at pace. You are the technical specialist who helps scale what gets built. Your focus is on making things production-ready: hardening prototypes, owning integrations, supporting infrastructure, and keeping the Power Platform environment governed and healthy. The dynamic is fluid — sometimes you drive a prototype to production, sometimes you work on a parallel track, sometimes you execute end-to-end. You need to be comfortable with all three.
Job Responsibility:
Prototype to Production: Refactor and harden prototype code into stable, production-ready systems
Implement testing, error handling, logging, and monitoring across workloads
Contribute to engineering standards and code quality practices
Backend, Infrastructure & AI: Build and support Azure cloud infrastructure underpinning AI and platform solutions
Work on LLM pipelines, RAG systems, and agent orchestration using LangChain, LlamaIndex, or AutoGen
Integrate Azure OpenAI and OpenAI APIs into production workflows
Support fine-tuning and deployment of custom LLMs (HuggingFace, LoRA/QLoRA)
Integrations: Build and maintain integrations between AI solutions, Power Platform, enterprise systems, and third-party APIs
Develop pipelines and connectors using Azure Data Factory, Logic Apps, and custom APIs
Power Platform Governance: Manage Power Apps, Power Automate, Copilot Studio, and Power BI assets in production
Contribute to DLP policies, environment strategy, access controls, and compliance
Monitor platform health and proactively flag issues
DevOps & Security: Contribute to CI/CD pipelines using Azure DevOps or GitHub Actions
Apply security best practices: identity management, secret handling, compliance controls
Support observability and alerting across production systems
Requirements:
2–4 years of hands-on experience building and deploying AI/ML or Microsoft platform solutions
Strong Python skills for backend development, automation, and ML pipelines
Working experience with Azure services: Functions, App Service, Azure ML, AI Search, Key Vault
Hands-on experience with LangChain, LlamaIndex, or AutoGen
Practical knowledge of RAG architectures and vector databases
Experience with Power Platform in an enterprise context: Power Apps, Power Automate, Copilot Studio, Power BI
Familiarity with CI/CD practices (Azure DevOps or GitHub Actions) and REST API integrations
Nice to have:
HuggingFace Transformers and fine-tuning experience (LoRA, QLoRA)
Power Platform ALM and governance tooling
Microsoft Fabric for analytics and ML workloads
Infrastructure-as-code experience (Bicep or Terraform)
Background in healthcare, pharma, or regulated industries
What we offer:
Being part of an international team
Permanent contract
A market-conform salary, all in line with your knowledge & experience
Fully remote set up
Annual bonus based on personal performance
Laptop
All national Indian holiday, plus 8 more vacation days