Architect

Mphasis is seeking a Senior Gen AI Engineer to design, develop, and deploy advanced generative AI models and solutions. The ideal candidate will leverage their expertise in Python and full stack development to create scalable AI applications and integrate AI/ML models with knowledge graphs.

Responsibilities:

• Design, develop, and deploy scalable full stack AI applications using Python and modern frontend technologies
• Integrate and customize AI/ML models using frameworks such as Langsmith, Langraph, Langchain, Llama Index, and Ragas
• Develop backend services, FAstAPIs, FLASK, etc to support AI workflows and applications
• Build and maintain human-in-the-loop systems to facilitate model feedback, validation, and refinement
• Implement, and maintain enterprise knowledge graphs using graph databases (e.g., Neo4j, Amazon Neptune, GraphDB) and semantic standards (e.g., RDF, OWL, SPARQL)
• Integrate AI/ML with Knowledge Graphs: Develop and apply graph-based machine learning techniques, such as Graph Neural Networks (GNNs), link prediction, and node embedding, to solve complex business problems
• Implement MLOps best practices for continuous integration, deployment, and monitoring of AI applications
• Ensure robust testing, documentation, and maintenance of AI solutions
• Collaborate closely with data scientists, ML engineers, and product teams to optimize AI model performance and usability
• Stay abreast of the latest developments in AI/ML frameworks and MLOps tools