Software Engineer III (AI/ML)

Opportunity

Responsibilities

• Design, build, and maintain scalable microservices and APIs supporting AI capabilities.
• Develop GenAI pipelines using frameworks such as LangChain and LlamaIndex and MCP-based integrations.
• Integrate and operationalize models from providers such as OpenAI and Anthropic with ML engineers and data scientists.
• Build and deploy predictive, anomaly-detection, and automated decision-making ML models.
• Design and extend MCP servers that expose and manage tools for LLMs.
• Implement model evaluation and retraining workflows as business data evolves.
• Align AI systems with enterprise security, reliability, and performance standards and scale workloads in multi-tenant cloud environments.
• Participate in architecture reviews and define safe, consistent MCP-compliant model-tool interfaces.

Qualifications

• At least 5 years of software engineering experience with exposure to AI/ML and backend platforms.
• Proficiency in Python, TypeScript, or JavaScript and strong coding and debugging skills.
• Hands-on cloud and container experience, such as AWS, Docker, and Kubernetes.
• Familiarity with orchestration frameworks such as LangChain, LangGraph, or CrewAI and patterns including RAG, ReAct, and agent-based reasoning.
• Experience building or integrating MCP servers and expertise with LLM APIs and multi-model orchestration.
• Strong API design, microservice, event-driven systems, authentication, security, and database foundations.
• BS/MS in Computer Science or related field, or equivalent professional experience.

Bonus skills

• Bonus: additional AI/ML frameworks or cloud platforms, insurance technology or enterprise SaaS exposure, open-source AI/ML contributions, or ethical AI and governance experience.

Benefits

• Benefits include health and wellness coverage, paid time off, volunteer time off, and potential incentive programs and career development opportunities.

Compensation

• US base salary is $114,000–$202,000 per year for this full-time position; pay depends on experience, skills, education, training, and location.

Workplace

• The company offers flexible work environments, including hybrid options; this posting does not specify the arrangement for this position.
• New hires attend an in-person orientation.

About Guidewire