About this role
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.
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