Jobs via Dice · 10 hours ago
Senior AI Developer
Dice is the leading career destination for tech experts at every stage of their careers, and they are seeking a Senior AI Developer for Nityo Infotech Corporation. This role involves designing, building, and deploying AI solutions with a focus on knowledge graphs and generative models, specifically implementing Graph Retrieval-Augmented Generation systems.
Computer Software
Responsibilities
Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment
Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured)
GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations
Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency
Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining
Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers
Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI
Qualification
Required
7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects
Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex)
Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms
Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems
Experience in deploying and optimizing models in cloud environments (Google Cloud Platform) and managing project infrastructure
Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development
Bachelor's or master's degree in computer science, Data Science, Engineering, or a related technical field
Company
Jobs via Dice
Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want.
Funding
Current Stage
Early StageCompany data provided by crunchbase