7 дней 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) (Generative AI and cloud platforms): Building scalable microservices, APIs, GenAI pipelines, MCP integrations, and ML services for cloud-based insurance solutions with an accent on agentic workflows, LLM orchestration, and model operationalization. Focus on designing secure multi-tenant AI workloads, deploying predictive models, extending MCP servers, and maintaining continuous evaluation and retraining workflows.
Location: San Mateo HQ, United States; hybrid work options available; in-person orientation required for all new hires
Salary: $114,000–$202,000 per year, plus potential incentives
Company
provides cloud-based digital, core, analytics, and AI platforms for property and casualty insurers worldwide.
What you will do
- Design, build, and maintain scalable microservices and APIs powering AI capabilities across cloud insurance solutions.
- Develop Generative AI pipelines with LangChain, LlamaIndex, and MCP-based integrations for context-aware reasoning and action orchestration.
- Integrate and operationalize models from providers such as OpenAI and Anthropic in collaboration with ML engineers and data scientists.
- Design and deploy ML models for predictive insights, anomaly detection, and automated decision-making.
- Build and extend MCP servers and define MCP-compliant interfaces for LLM tools, context, and state.
- Align AI workloads with enterprise standards for security, reliability, scalability, and performance in AWS and Kubernetes environments.
Requirements
- 5+ years of software engineering experience with AI/ML and backend platform development exposure.
- Strong proficiency in Python, TypeScript, or JavaScript.
- Hands-on experience with AWS, Docker, and Kubernetes.
- Experience with LangChain, LangGraph, CrewAI, RAG, ReAct, agent-based reasoning, and MCP server integrations.
- Knowledge of LLM APIs, multi-model orchestration, API design, microservices, event-driven systems, OAuth2, JWT, PostgreSQL, or DynamoDB.
- BS/MS in Computer Science or a related field, or equivalent professional experience.
Nice to have
- Experience with additional AI/ML frameworks or cloud platforms.
- Exposure to insurance technology or enterprise SaaS environments.
- Open-source AI/ML contributions and experience with ethical AI and governance practices.
Culture & Benefits
- Flexible work environment with hybrid options.
- Health, dental, vision, wellness, and company-sponsored retirement benefits.
- Paid time off, including volunteer time off.
- Market-competitive pay, incentive programs, and potential bonus or long-term incentive awards.
- Continual development and internal career growth opportunities.
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