IND Senior Staff Software Engineer - GCC020 We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Key Responsibilities • Develop Algorithms that enable AI agents to perform tasks without step-by-step instructions. • Design and implement agentic AI systems capable of autonomous decision-making, learning from experience, and adapting to dynamic goals and contexts • Design and develop multi-agent frameworks using tools such as LangGraph, Crew AI, or Semantic Kernel to orchestrate intelligent workflows. • Design and develop machine learning techniques that allow agents to learn from experience and adapt over time. • Translate business requirements into agentic AI solutions. • Collaborate with data scientists, software engineers, business stakeholders, and product teams to integrate AI solutions into production systems. • Conduct context and prompt engineering using zero-shot, few-shot, and chain-of-thought techniques to enhance model performance and relevance. • Optimize agents based on different models for performance, scalability, and accuracy. • Ensure ethical AI practices and compliance with data privacy regulations. • Document processes, models, and code for transparency and reproducibility. • Conduct research and stay up to date with the latest advancements in AI/ML technologies. Required Skills & Experience • Proficiency in programming languages such as Python, Java, or C++. • Strong foundation in AI/ML algorithms, data structures, and software engineering principles. • Understanding of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions. • Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker for CI/CD). • Solid knowledge of data structures, algorithms, and software engineering principles. • Experience with agent orchestration, LLMOps, and model lifecycle management, vector search, information retrieval, graph algorithms and knowledge graph. • Experience with version control systems (e.g., Git). • Familiarity with agent orchestration platforms and enterprise integration. • Strong problem-solving skills and ability to work independently and collaboratively. Preferred Skills & Experience • Experience with natural language processing (NLP), computer vision, or reinforcement learning. • Knowledge of generative AI and foundation models (e.g., Gemini, Claude). • Experience with real-time inference systems and edge AI. • Background in mathematics, statistics, or computational neuroscience. • Understanding of LLM (Large Language Model) & LRM (Large Reasoning Model) • Understanding of AI ethics, bias mitigation, and explainable AI. About Us | Our Culture | What It’s Like to Work Here