2 дня назад
Software Engineer III (AI/ML)
114 000 - 202 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer III (AI/ML) (GenAI/MCP): Building scalable microservices, APIs, and intelligent services for insurance platforms with an accent on generative AI pipelines, LLM integrations, and model-driven automation. Focus on designing agentic workflows and MCP servers, operationalizing ML models, and ensuring secure, reliable performance in AWS and Kubernetes environments.
Location: United States - San Mateo, CA; flexible work environment including hybrid options and in-person orientation for all new hires.
US base salary: $114,000–$202,000 per year, depending on experience, skills, education, training, and location.
Company
provides cloud-based digital, core, analytics, and AI platforms used by property and casualty insurers worldwide.
What you will do
- Design, build, and maintain scalable microservices and APIs powering AI capabilities across core solutions.
- Develop generative AI pipelines with LangChain, LlamaIndex, MCP integrations, and agentic reasoning patterns.
- Integrate and operationalize models from OpenAI, Anthropic, and other LLM providers in collaboration with ML engineers and data scientists.
- Design and deploy ML models for predictive insights, anomaly detection, and automated decision-making.
- Design and extend MCP servers that expose and manage tools, context, and state for LLMs.
- Implement model evaluation and retraining workflows while meeting enterprise requirements for security, reliability, scalability, and performance.
Requirements
- 5+ years of software engineering experience with exposure to AI/ML and backend platform development.
- Strong programming and debugging skills in Python, TypeScript, or JavaScript.
- Hands-on experience with AWS, Docker, Kubernetes, API design, microservices, and event-driven systems.
- Experience with AI orchestration frameworks such as LangChain, LangGraph, or CrewAI and patterns including RAG, ReAct, and agent-based reasoning.
- Experience building or integrating MCP servers and working with LLM APIs such as OpenAI, Claude, or Gemini.
- Knowledge of OAuth2, JWT, secure coding, PostgreSQL or DynamoDB, plus a BS/MS in Computer Science or equivalent professional experience.
Nice to have
- Experience with additional AI/ML frameworks or cloud platforms.
- Exposure to insurance technology or enterprise SaaS environments.
- Contributions to open-source AI/ML projects.
- Experience with ethical AI and governance best practices.
Culture & Benefits
- Collaborative environment focused on customer success, continuous improvement, inclusion, and meaningful innovation.
- Health, dental, and vision insurance, paid time off, volunteer time off, and a company-sponsored retirement plan.
- Market-competitive pay, incentive programs, and possible bonus, commission, or long-term incentive awards depending on the role.
- Continual development and internal career growth opportunities.
- Accommodation support and an appeals process are available during hiring.
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