SeniorFull TimeENAsia/Pacific
Job Title: Senior AI Engineer position Location : India/Remote Duration: Full time
Job Overview: SoftClouds LLC is looking for an experienced Senior AI Engineer with a strong background in Python, React, LangChain, LangGraph, AWD Bedrock, and Azure Foundry. The ideal candidate will have a proven track record in developing and deploying advanced AI solutions and a passion for driving innovation in the field.
Roles & Responsibilities:
• Design, develop, and implement GEN AI products , AgentiC AI , predictive analytics , and algorithms using Python and related libraries. • Collaborate with cross-functional teams to integrate AI solutions into existing systems using React and LangChain. • Utilize LangGraph for efficient data processing and analysis. • Leverage AWD Bedrock and Azure Foundry for scalable and reliable AI solution deployment. • Conduct research and stay up-to-date with the latest advancements in AI technologies. • Troubleshoot and optimize AI models to improve performance and accuracy. • Mentor and guide junior engineers in best practices and advanced AI techniques. • Implement algorithms for processing, analyzing, and understanding textual data, ensuring high performance and scalability. • Focus on essential tasks like data manipulation, regular expressions, and data parsing using Python libraries such as Spacy, LlamaIndex,LangChain, and Regex. • Integrate with pre-built NLP models, ensuring efficient model usage for tasks like Text Generation, entity recognition, text classification and text summarization etc. • Write reusable Python code following best practices for quality, modularity, and performance. • Collaborate with teams to gather requirements and deliver Python-based solutions for business needs. • Optimize Python code to ensure efficiency, scalability, and minimal resource usage in production. • Use Git for version control, managing Python code updates, and collaborating with team members. • Research new libraries and tools to improve Python-based systems and workflows. • Solve complex problems efficiently, adapting to new challenges and evolving requirements. • Maintain clear documentation for all Python applications, ensuring clarity and ease of use.
