Key skills
Azure AI FoundryPythonGenAI frameworksMachine learning fundamentalsMLOpsClean codeTestingAIMachine LearningNLPGenAIOpenAIRAGAgenticAutoGenPandasNumPyHugging FaceLangGraphAzureSDLC
About this role
Raas Infotek is seeking Gen AI Engineers at both junior and senior levels to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. The role involves handling all phases of the SDLC and collaborating with stakeholders to create reliable, scalable AI solutions.
Responsibilities:
- Develop AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio
- Implement data science / machine learning algorithms defined by Solution Architects
- Follow all SDLC phases: requirements, design, development, testing, deployment, and maintenance
Requirements:
- Hands-on working experience on Azure AI Foundry and Azure services/PAAS
- Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc
- GenAI / Agent frameworks: Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI
- Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP
- Familiarity with GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation)
- Ability to work across the SDLC with clean code, testing, and documentation
- Experience with AutoGen / LangGraph multi-agent patterns and orchestration
- Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails
- Exposure to MLOps (model versioning, deployment, monitoring)
- Cloud certifications (Microsoft Azure) is a plus