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 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
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.Apply to the position
Information on personal data processing
You cannot apply for a position without accepting “INFORMATION ON PERSONAL DATA PROCESSING”
Applications for this job are no longer accepted. Please explore other open opportunities on our platform.
Thank you!
You applied for the position GEN AI Specialist successfully. We will get back to you soon. Have a great day!
Something went wrong...
There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to cv@griddynamics.com
RetrySomething went wrong...
Please double-check the information filled in the form, and make sure to provide valid data.
RetryDon’t see the right opportunity?
Contact us anyway and let’s talk! To apply, send your resume and cover letter to jobs@griddynamics.com
Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.