Job Opportunities API

Role Overview We are looking for an experienced GenAI / AI-ML Engineer with strong hands-on expertise in Python, machine learning, deep learning, Large Language Models, Retrieval-Augmented Generation, and agentic AI systems. The selected candidate will be responsible for designing, developing, and deploying scalable AI-powered applications. The role requires practical experience in building production-ready RAG pipelines, LLM-powered applications, REST APIs, machine-learning models, and cloud-based AI solutions using AWS. Key Responsibilities ● Design, develop, test, and deploy scalable AI, machine-learning, deep-learning, and Generative AI solutions. ● Build and optimise Retrieval-Augmented Generation pipelines using modern frameworks, embedding models, and vector databases. ● Develop LLM-powered applications using prompt engineering, AI agents, LangGraph, and multi-agent workflows. ● Fine-tune, evaluate, deploy, and monitor machine-learning and deep-learning models. ● Build REST APIs and backend services for AI applications using FastAPI or similar frameworks. ● Design data-preprocessing, feature-engineering, model-training, and model-evaluation pipelines. ● Integrate structured and unstructured data sources to deliver accurate and context-aware AI solutions. ● Implement semantic search and document-retrieval architectures. ● Evaluate RAG and Generative AI solutions using appropriate quality and performance metrics. ● Collaborate with Data Engineering, DevOps, Product, and other cross-functional teams. ● Ensure the scalability, reliability, security, and performance of AI applications in production environments. ● Follow software-engineering best practices, coding standards, version-control processes, and Agile methodologies. ● Troubleshoot model, API, data-pipeline, and production-performance issues.