Generative AI Engineer
2 weeks ago
TE-3 Years and aboveNotice- Immediate-15 daysLocation- Bangalore(Preferred)/Hyderabad/ChennaiKey Responsibilities:Design and implement end-to-end generative AI solutions including RAG chatbots, LLM-powered BI systems, and coding agentsDevelop and deploy AI agents using frameworks like LangGraph and similar orchestration toolsBuild robust data processing pipelines using LlamaIndex and related libraries for document ingestion and retrievalImplement and optimize vector databases for semantic search and retrieval systemsIntegrate multiple LLM providers (OpenAI, Gemini, Anthropic) and evaluate model performanceSet up comprehensive observability and monitoring using tools like LangSmithCollaborate with engineering teams to productionize ML models and AI applicationsRequired Skills:Generative AI (Minimum Requirements):Hands-on experience with LangGraph or similar AI agent frameworksProficiency with LlamaIndex, LangChain, or equivalent data processing librariesExperience with vector databases (Pinecone, Weaviate, Chroma, etc.)Working knowledge of multiple LLMs and their APIs (OpenAI GPT, Gemini, Claude)Experience with LLM observability tools (LangSmith, Weights & Biases, etc.)Proven track record in building LLM BI solutions (natural language to SQL)Experience developing RAG (Retrieval-Augmented Generation) chatbotsExperience with coding agents and code generation systemsTraditional AI/ML:Strong foundation in clustering, regression, classification, and forecastingProficiency with scikit-learn, PyTorch, TensorFlowExperience with statistical analysis and experimental designKnowledge of feature engineering and data preprocessing techniquesGood to Have:Fine-tuning experience with LLMs, rerankers, or embedding modelsSelf-hosting and deployment of open-source LLMsExperience with BERT, transformer architectures, or computer vision models (YOLO)MLOps experience with MLflow, Weights & Biases, or TensorBoardCloud platform certifications (AWS, GCP, Azure)Additional Requirements:Strong programming skills in PythonExperience with containerization (Docker, Kubernetes)Knowledge of API development and microservices architectureUnderstanding of prompt engineering and prompt optimization techniquesExperience with evaluation frameworks for LLM applicationsFamiliarity with data privacy and security best practices for AI applicationsGrid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.
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