ML Engineer

Job Description

We are seeking a highly skilled AI/LLM Engineer with strong experience in Python programming and hands-on expertise in building applications powered by Large Language Models (LLMs). The ideal candidate will play a critical role in designing, developing, and deploying advanced AI solutions, leveraging techniques such as prompt engineering, vector search, and modern ML practices. Responsibilities Design, develop, and implement LLM-based applications, with a focus on AI Agents, conversational systems, and intelligent decision-making pipelines. Develop and optimize prompts and prompt orchestration frameworks tailored to specific use cases. Implement vector search and retrieval-augmented generation (RAG) pipelines to improve model output relevance. Collaborate with product and data teams to translate business requirements into scalable AI-driven solutions. Deploy, optimize, and monitor AI applications in cloud environments (Azure, GCP, or AWS). Stay updated with advancements in LLMs, NLP, and generative AI technologies, incorporating best practices into projects. Contribute to code reviews, technical discussions, and knowledge sharing within the team. Requirements Looking for minimum 3+ years of experience. Strong programming skills in Python (object-oriented programming, scripting, APIs, and libraries). Proven experience in building LLM-based applications and/or AI Agents. Proficiency in prompt engineering and evaluation techniques. Hands-on expertise with vector search technologies (e.g., FAISS, Pinecone, Weaviate, or equivalent). Experience deploying applications on at least one major cloud provider (Azure, GCP, or AWS). Nice to have Background in Data Science or Machine Learning Engineering, with experience in NLP techniques. Prior experience with Microsoft Azure AI and Cognitive Services, including deployment and scaling. Familiarity with MLOps practices, CI/CD for machine learning models, and monitoring tools. Knowledge of transformer architectures and model fine-tuning. 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.