Senior/Lead AI engineer

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. The company specializes in enterprise AI, 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.

• 5+ years of commercial software development experience writing production-grade code in Python and TypeScript.
• Strong hands-on experience integrating major LLM APIs (OpenAI, Anthropic Claude) into production software.
• Deep expertise in meta-prompting, advanced prompt engineering, and context window optimization.
• Practical experience building and deploying Retrieval-Augmented Generation (RAG) systems using vector databases (Pinecone, Weaviate, ChromaDB).
• Solid hands-on experience with LLM orchestration frameworks (LangChain, LlamaIndex) and embedding models.
• Experience developing automated testing, evaluation, and observability pipelines for AI/LLM applications.
• Proficiency in containerization with Docker, API design, and CI/CD automation pipelines.
• Experience as a Senior/Lead Developer or Technical Mentor in a fast-paced R&D environment.
• Excellent problem-solving skills, software engineering discipline, and written/verbal English communication.

• Design, build, and deploy production-grade LLM-powered services, microservices, and APIs using Python and TypeScript.
• Implement advanced meta-prompting frameworks and prompt optimization techniques for deterministic, context-aware AI outputs.
• Develop scalable Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases such as Pinecone, Weaviate, or ChromaDB.
• Orchestrate LLM workflows using frameworks like LangChain or LlamaIndex to connect multi-agent tools and domain knowledge bases.
• Implement automated testing, LLM evaluation, and QA frameworks to benchmark model performance and output consistency.
• Build containerized microservices and automated CI/CD pipelines using Docker.
• Act as a hands-on Senior Developer and Mentor, guiding mid-level engineers, establishing coding standards, and conducting code reviews.

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