AI Engineer
ProArch (company site, opens in a new tab)7–10 yrsHyderabadOn-siteDirect career pageEst. 20–35 LPA
Posted on 22 Sept
Reach people at ProArch
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at ProArch you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and maintain AI-powered enterprise applications using .NET Core, C#, Angular, and Azure cloud services.
- Build features including chatbots, AI agents, search tools, and set up Retrieval-Augmented Generation (RAG) pipelines integrating language models with external tools or databases.
- Collaborate with UI Architect, Product Owner, Scrum Master, and cross-functional teams to design, deploy, and support secure, scalable cloud-native microservices and APIs on Azure.
Minimum Requirements
- 7-10 years of hands-on full-stack application development experience.
- Strong expertise in .NET Core (ASP.NET Core 2.0+), C#, Angular 12+, and Azure Cloud services (App Services, Azure SQL, Storage Accounts).
- Experience with modern AI technologies including generative AI models, chatbots, AI agents, and familiarity with vector databases like Pinecone or Milvus.
- Work Experience Required: 7-10 years specifically in building enterprise-grade full-stack and AI-powered applications.
Ideal Candidate Profile
- Experienced in designing and implementing scalable, secure cloud-native applications and microservices on Azure.
- Proficient in integrating AI models with enterprise applications, including expertise in Retrieval-Augmented Generation (RAG) pipelines.
- Able to work effectively in Agile teams with cross-functional collaboration involving product owners and architects for end-to-end application delivery.