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GEN AI Specialist
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Job Description GenAI Engineer: Experience : 3 to 12 years Location : Chennai/Bangalore/Hyderabad Details on tech stack: Programming: Advanced Python (OOP, async), REST API frameworks (Flask, FastAPI) Cloud: Strong experience with Microsoft Azure (App Services, Azure Functions, Blob Storage, Cosmos DB preferred) GenAI/LLM Ecosystem: Familiarity with LangChain, LangGraph, or similar orchestration frameworks Experience building solutions with RAG design patterns and prompt tuning (CoT, ToT, FewShot) Understanding of vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) Embedding models like Sentence Transformers, CLIP/SIGLIP, or similar Performance Optimization: Hands-on experience scaling solutions for high payload volumes Token management and handling long-form data inputs Data Integration: Ability to work with semi-structured and structured data formats, schema mapping, and transformation Version Control & CI/CD: Git, Azure DevOps/GitHub Actions pipelines Nice to have requirements to the candidate Practical experience deploying GenAI applications to production in enterprise settings Familiarity with AgentOps/MLOps pipelines Exposure to VLLMs or lightweight open-source LLMs for enterprise deployments Experience supporting post-go-live production systems or hypercare phases Essential functions GenAI Engineer: Experience : 3 to 12 years Location : Chennai/Bangalore/Hyderabad Details on tech stack: Programming: Advanced Python (OOP, async), REST API frameworks (Flask, FastAPI) Cloud: Strong experience with Microsoft Azure (App Services, Azure Functions, Blob Storage, Cosmos DB preferred) GenAI/LLM Ecosystem: Familiarity with LangChain, LangGraph, or similar orchestration frameworks Experience building solutions with RAG design patterns and prompt tuning (CoT, ToT, FewShot) Understanding of vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) Embedding models like Sentence Transformers, CLIP/SIGLIP, or similar Performance Optimization: Hands-on experience scaling solutions for high payload volumes Token management and handling long-form data inputs Data Integration: Ability to work with semi-structured and structured data formats, schema mapping, and transformation Version Control & CI/CD: Git, Azure DevOps/GitHub Actions pipelines Nice to have requirements to the candidate Practical experience deploying GenAI applications to production in enterprise settings Familiarity with AgentOps/MLOps pipelines Exposure to VLLMs or lightweight open-source LLMs for enterprise deployments Experience supporting post-go-live production systems or hypercare phases Qualifications Programming: Advanced Python (OOP, async), REST API frameworks (Flask, FastAPI) Cloud: Strong experience with Microsoft Azure (App Services, Azure Functions, Blob Storage, Cosmos DB preferred) GenAI/LLM Ecosystem: Familiarity with LangChain, LangGraph, or similar orchestration frameworks Experience building solutions with RAG design patterns and prompt tuning (CoT, ToT, FewShot) Understanding of vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) Embedding models like Sentence Transformers, CLIP/SIGLIP, or similar Performance Optimization: Hands-on experience scaling solutions for high payload volumes Token management and handling long-form data inputs Data Integration: Ability to work with semi-structured and structured data formats, schema mapping, and transformation Version Control & CI/CD: Git, Azure DevOps/GitHub Actions pipelines Would be a plus Practical experience deploying GenAI applications to production in enterprise settings Familiarity with AgentOps/MLOps pipelines Exposure to VLLMs or lightweight open-source LLMs for enterprise deployments Experience supporting post-go-live production systems or hypercare phases Job Classification Industry: IT Services & Consulting Functional Area / Department: Engineering - Software & QA Role Category: Software Development Role: Search Engineer Employement Type: Full time Contact Details: Company: Grid Dynamics Location(s): Hyderabad .. |
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