AI Software Engineer

1 week ago

tumakuru, India beBeeArtificialintelligence Full time

Job DescriptionThe Generative AI Engineer will be a highly specialized professional responsible for designing, developing and implementing cutting-edge generative AI models and algorithms. Working closely with the team to ensure successful project outcomes.Design, prototype and deploy state-of-the-art Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases.Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.).Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to guarantee accuracy and relevance.Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends.Collaborate with architects to define scalable and secure AI service architectures.Experience in the following:Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML).Manage model evaluation, drift monitoring, and continuous improvement processes.Optimize inference performance and cost (e.g., model compression, quantization, API optimization).Ensure compliance with AI ethics, security, and governance standards.Prepare and curate high-quality training datasets (structured/unstructured text, images, code).Apply data preprocessing, tokenization, and embedding generation techniques.Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases.Partner with business stakeholders to identify and shape AI-driven solutions.Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench / platform components.Support POCs, pilots, and full-scale implementations with agile delivery methodologies.Document and present solution designs, technical findings, and results to leadership and clients effectively.

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