Grid Dynamics
AI Architect
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Atlanta, GA, USA
Work mode:
Onsite
Published on:
26 September 2026
What they need
We are looking for AI architect who knows enough about training models as well as integrating Agentic tools together.
Requirements :
- Hands-on GenAI Experience: Strong background building production-grade LLM applications, autonomous agents, and tool-integration layers.
- Model Customization Skills: Practical knowledge of machine learning frameworks (PyTorch, Hugging Face) and parameter-efficient fine-tuning techniques.
- Production Engineering & Cloud: Mastery of Python-based backend architectures, vector databases (e.g., Pinecone, Qdrant), and cloud-native deployments (AWS/Azure).
Responsibilities :
- Design Agentic AI Workflows: Architect multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, MCP) enabling AI systems to autonomously use tools and execute tasks via enterprise APIs.
- Oversee Model Training & Fine-Tuning: Establish strategy and pipelines for dataset curation and efficient model customization (e.g., LoRA/QLoRA) using open-source foundations.
- Architect Scalable Knowledge & RAG Pipelines: Design high-performance Retrieval-Augmented Generation (RAG) systems integrated with vector databases for accurate context retrieval.
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.
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