Senior AI / Polyglot Engineer

MSIG USA continues to grow!

Company Overview:

MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world’s top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business’s unique risks.

Role Overview
Join us at the forefront of enterprise AI, building intelligent agentic systems that reason, plan, and act across complex business workflows. As a Lead Engineer, you will play a key role in designing and delivering Python-based agentic solutions that orchestrate AI models, tools, and enterprise data to automate decision-making at scale.

This role combines modern software engineering with cutting-edge AI technologies, offering the opportunity to build production-grade autonomous systems that drive real business impact.
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Key Responsibilities

• Design, develop, and maintain scalable backend services, APIs, and agentic applications using Python.
• Lead the implementation of AI-powered systems that integrate LLMs, tools, knowledge sources, and enterprise workflows.
• Provide technical leadership for projects by driving architecture, design reviews, and engineering best practices.
• Partner with product managers, architects, data scientists, and engineers to deliver end-to-end solutions.
• Write clean, maintainable, well-tested code while effectively leveraging AI-assisted development tools and LLM-powered engineering workflows.
• Participate in code reviews, technical coaching, and collaborative problem solving.
• Drive improvements in application performance, reliability, observability, and scalability.
• Contribute to engineering standards, CI/CD practices, testing strategies, and operational excellence.
• Support production environments, participate in incident response, and lead troubleshooting efforts for critical issues.
• Stay current with advancements in agent frameworks, LLM ecosystems, MCP standards, and AI engineering best practices.

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Required Qualifications

• 8-10+ years of professional software engineering experience with a strong focus on Python development.
• Proven experience leading technical initiatives and delivering complex software systems in production environments.
• Deep expertise with Python frameworks such as FastAPI, Flask, or similar backend technologies.
• Experience building and consuming MCP servers, RESTful APIs, and service integrations; GraphQL experience is a plus.
• Hands-on experience developing AI-powered applications using LLMs, agent frameworks, or orchestration platforms.
• Strong understanding of software architecture, distributed systems, design patterns, data structures, and algorithms.
• Experience with cloud-native application development; Azure experience strongly preferred.
• Expertise in unit testing, integration testing, and automated quality assurance practices.
• Proficiency with Git, CI/CD pipelines, and modern software development workflows.
• Strong communication, collaboration, and stakeholder management skills.

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Preferred Qualifications

• Experience designing, building, and operating agentic platforms or multi-agent systems in production.
• Familiarity with frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI Agents SDK, or similar technologies.
• Experience with microservices and distributed architectures.
• Knowledge of AI observability, evaluation frameworks, prompt management, and model monitoring.
• Familiarity with vector databases, RAG architectures, and enterprise knowledge systems.
• Experience with Docker, Kubernetes, and container orchestration platforms.
• Exposure to event-driven architectures and messaging technologies such as Kafka, Service Bus, or RabbitMQ.
• Understanding of AI safety, security, governance, and responsible AI practices.
• Experience operating large-scale cloud applications with high availability and reliability requirements.

SALARY: The estimated salary range for this position is $140,000.00 - $210,000.00 per year. This is a good-faith assessment of the salary range for this position only. In dete…