2 дня назад
Senior Software Engineer - Applied AI
100 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer - Applied AI (Generative AI/LLMs): Building and deploying production AI solutions, agentic workflows, intelligent automation, and customer communication experiences with an accent on scalability, resilience, knowledge graphs, and retrieval-augmented generation. Focus on designing AI agents that orchestrate tools and APIs, operating reliable production systems, and evaluating and improving AI solutions in collaboration with product and engineering partners.
Location: Palo Alto, California, United States
Annual salary: $100,000–$215,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies.
What you will do
- Identify and prioritize opportunities to automate insurance business processes with AI, intelligent workflows, and agent-based systems.
- Architect, build, deploy, and operate AI solutions for automation, document intelligence, decision support, and intelligent assistants.
- Design agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic at scale.
- Develop production services with strong scalability, resilience, performance, security, availability, and monitoring.
- Use knowledge graphs, retrieval-augmented generation, and vector databases to improve reasoning and context retrieval.
- Partner with product, engineering, operations, analytics, and domain experts while mentoring engineers and scientists.
Requirements
- 4+ years of professional software engineering or applied machine learning experience, including 1+ year with Generative AI or LLM-based systems in production.
- Strong Python skills and hands-on experience with LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.
- Experience designing, building, and operating production AI systems, agentic workflows, and intelligent automation features.
- Strong knowledge of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, knowledge graphs, distributed systems, and reliability engineering.
- Experience mentoring engineers and delivering measurable business outcomes with AI solutions.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience.
Nice to have
- Experience with domain-tuned LLMs, vector reasoning, or specialized retrieval architectures.
- Background in insurance, financial services, document intelligence, fraud detection, anomaly detection, ontology design, or knowledge graphs.
- Experience deploying AI components in Java ecosystems such as Spring AI, LangChain4j, or Embabel.
- Knowledge of AI safety, evaluation frameworks, monitoring, and regulatory compliance.
- Ability to communicate complex technical topics to senior leadership and non-technical stakeholders.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture focused on shared success.
- Competitive pay, benefits, and flexibility supporting employee well-being and long-term planning.
Hiring process
- Selection considers role scope, responsibilities, experience, education, training, work location, and market and business factors.
- will not sponsor a new applicant for employment authorization for this position.
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