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.  

About Us  | Our Culture | What It’s Like to Work Here