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Job Title: AI Developer – .NET
Experience: 3–8 Years
About the Role
We are looking for a skilled AI Developer with strong hands-on experience in .NET technologies to design, develop, and deploy AI-driven applications and intelligent automation solutions. The ideal candidate will combine software engineering expertise with practical knowledge of modern AI/ML frameworks and cloud ecosystems.
Key Responsibilities
Required Skills & Qualifications
Job ID: 145164413
Skills:
Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), Amazon Web Services, Google Cloud Platform, Terraform, Azure, LangChain, Regula test cases, RAG vector databases, Cloud infrastructure deployment pipelines, Vector databases, Rego policies, LangGraph, LLM APIs, Open Policy Agent
Skills:
PowerShell, Bash, Python, Azure Container Registry ACR, Azure Data Lake Storage ADLS Gen2, Azure Key Vault, Azure DevOps Pipelines and GitHub Actions, Docker and Helm, Azure SQL Database, Azure Kubernetes Service AKS, Azure Data Factory and Databricks, Azure Monitor and Log Analytics, Azure App Service Virtual Machines VNet, YAML-based CI CD automation
Skills:
Github, FastAPI, Python, LangChain, pgvector, AI-native development tools, retrieval-augmented generation, vector databases, Pinecone, Claude, prompt engineering, LangGraph, LLM APIs, OpenAI, Weaviate
Skills:
Machine Learning, Rest Apis, Python, LangChain, Generative AI, Pinecone, Agentic AI Frameworks, Retrieval-Augmented Generation, Vector Databases, FAISS, ChromaDB, Weaviate, LlamaIndex, Prompt Engineering, Large Language Models
Skills:
data engineering , Azure Cloud - App Service, Distributed Computing, Api Management, Networking, Typescript, Python, AWS, Azure DevOps, Node.js, MLops, Databricks, FastAPI, Kubernetes, Mosaic AI, Enterprise compliance, Container Apps, CI CD, Azure AI Foundry, LangGraph, GitHub Actions, GEnie, RAG Agentic AI, Kubeflow, Auto ML, LangChain, Chainlit, Data Science and Machine Learning methods