IND Senior Staff Software Engineer

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 grap h.  

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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