GEN AI Specialist

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 similarPerformance Optimization: Hands-on experience scaling solutions for high payload volumes Token management and handling long-form data inputsData Integration: Ability to work with semi-structured and structured data formats, schema mapping, and transformationVersion 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 settingsFamiliarity with AgentOps/MLOps pipelinesExposure to VLLMs or lightweight open-source LLMs for enterprise deploymentsExperience supporting post-go-live production systems or hypercare phases

Responsibilities

Requirements

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 similarPerformance Optimization: Hands-on experience scaling solutions for high payload volumes Token management and handling long-form data inputsData Integration: Ability to work with semi-structured and structured data formats, schema mapping, and transformationVersion Control & CI/CD: Git, Azure DevOps/GitHub Actions pipelines

Nice to have

• 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
  

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.