Website:
tekgrove.com
Job details:
Experience: 5+ Years
Technology: Microsoft Azure AI Services
Employment Type: As per project requirement
Location: As per project requirement
Joining: Immediate joiners preferred
Job Summary
We are looking for an experienced Azure AI Services Developer with 5+ years of experience in designing, developing, and deploying AI-powered applications using Microsoft Azure AI services. The ideal candidate should have strong programming skills, hands-on experience with Azure AI capabilities, and the ability to integrate AI models and services into enterprise applications.
The candidate will work with cross-functional teams to build intelligent solutions involving generative AI, natural language processing, document intelligence, conversational AI, and AI-powered automation.
Key Responsibilities
- Design, develop, and deploy AI-powered applications using Microsoft Azure AI services.
- Build solutions using Azure AI Foundry, Azure OpenAI Service, and other relevant Azure AI capabilities.
- Develop and integrate generative AI applications using large language models (LLMs).
- Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources and vector search.
- Develop intelligent document processing solutions using Azure AI Document Intelligence.
- Implement natural language processing, text analytics, information extraction, and conversational AI capabilities.
- Integrate Azure AI services with enterprise applications, REST APIs, and backend systems.
- Develop prompt templates, prompt engineering strategies, and model evaluation workflows.
- Work with Azure AI Search to implement semantic search, vector search, and knowledge retrieval.
- Develop backend components using Python, C#, or other relevant programming languages.
- Implement secure authentication, authorization, monitoring, and responsible AI practices.
- Deploy and monitor AI applications using Azure services, CI/CD pipelines, and application monitoring tools.
- Optimize AI solutions for performance, scalability, reliability, and cost efficiency.
- Collaborate with architects, data engineers, product teams, and business stakeholders to translate requirements into AI solutions.
Required Skills and Qualifications
- 5+ years of experience in software development, AI/ML engineering, or application development, with relevant experience building solutions using Azure AI services.
- Hands-on experience with Microsoft Azure AI services and cloud-based application development.
- Strong programming skills in Python or C#.
- Experience with Azure OpenAI Service and generative AI application development.
- Good understanding of Large Language Models (LLMs), prompt engineering, and model integration.
- Hands-on experience implementing RAG architectures and connecting LLMs to enterprise knowledge sources.
- Experience with Azure AI Search, vector databases, embeddings, semantic search, or vector search.
- Knowledge of REST APIs, JSON, microservices, and application integration.
- Experience with Azure identity, security, secrets management, and access control.
- Familiarity with Git, CI/CD pipelines, testing, deployment, and monitoring.
- Strong analytical, debugging, and problem-solving skills.
Good to Have
- Experience with Azure AI Foundry and its agent development and evaluation capabilities.
- Exposure to agentic AI, AI agents, tool calling, and multi-step workflow orchestration.
- Experience with Azure AI Document Intelligence, Azure AI Language, or Azure AI Speech.
- Familiarity with LangChain, Semantic Kernel, or similar LLM orchestration frameworks.
- Knowledge of machine learning fundamentals, model evaluation, and responsible AI practices.
- Experience with Azure Functions, Azure App Service, Azure Kubernetes Service (AKS), or containerized deployments.
- Familiarity with Azure Machine Learning and MLOps practices.
- Experience handling enterprise-grade AI solutions with privacy, governance, and compliance requirements.
Preferred Candidate Profile
- Strong experience building and deploying production-ready AI applications on Microsoft Azure.
- Ability to translate business problems into scalable AI-driven solutions.
- Experience working with structured and unstructured enterprise data.
- Good communication and collaboration skills.
- Ability to work independently in a fast-paced project environment.
Click on Apply to know more.
