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
Qualifications
Essential functions
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
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,
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Finance & Accounting
Role Category: Finance
Role: Chief Financial Officer (CFO)
Employement Type: Full time
Contact Details:
Company: Grid Dynamics
Location(s): Hyderabad
Keyskills:
GEN AI Specialist