5 часов назад
Sr. Software Engineer - Applied AI (AI)
80 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Software Engineer - Applied AI (Generative AI/LLMs): Building and deploying applied AI solutions, intelligent assistants, and agentic workflows for customer communication, sales, service, and claims operations with an accent on production reliability, retrieval-augmented generation, vector databases, and knowledge graphs. Focus on orchestrating tools and APIs, designing scalable distributed systems, evaluating AI solutions in production, and establishing safety, governance, and monitoring practices.
Location: Palo Alto, California, United States. Flex allows working from anywhere in the US for up to four weeks per year.
Annual salary: $80,000–$215,000.
Company
provides insurance coverage and customer service through technology-enabled sales, service, claims, and contact center operations.
What you will do
- Evaluate business processes and identify opportunities for AI automation, intelligent workflows, and agent-based systems.
- Architect, build, and deploy applied AI solutions for document intelligence, decision support, intelligent assistants, and other high-value workflows.
- Design agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic at scale.
- Own production services with high standards for scalability, resilience, performance, security, availability, and maintainability.
- Use knowledge graphs to improve reasoning, entity relationships, context retrieval, and multi-step workflows.
- Partner with product, engineering, operations, and analytics teams; mentor engineers and scientists; and guide architecture, experimentation, governance, and monitoring.
Requirements
- 5+ years of professional software engineering or applied machine learning experience, including 1+ year with Generative AI or LLM-based systems in production.
- Strong Python experience and hands-on experience with modern AI frameworks and APIs, including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI, or Anthropic.
- Experience designing, building, and operating production AI systems, agentic workflows, and intelligent automation features.
- Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, knowledge graphs, distributed systems, service design, performance optimization, and reliability engineering.
- Experience collaborating with engineers, product managers, and domain experts, mentoring engineers, and delivering measurable business outcomes with AI.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience. At this time, will not sponsor a new applicant for employment authorization for this position.
Nice to have
- Experience with domain-tuned LLMs, vector reasoning, specialized retrieval architectures, or complex ontology and knowledge graph design.
- Experience in insurance, financial services, or another regulated industry.
- Experience deploying AI components in Java ecosystems such as Spring AI, LangChain4j, or Embabel.
- Background in document intelligence, fraud or anomaly detection, AI safety, evaluation frameworks, monitoring, or regulatory compliance.
- Ability to communicate complex technical topics to senior leadership and non-technical stakeholders.
Culture & Benefits
- Work in a collaborative, inclusive environment focused on innovation, integrity, shared success, and customer impact.
- Access personalized development programs, industry training, certification assistance, mentorship, and coaching.
- Receive comprehensive health and well-being coverage, including mental healthcare and fertility and adoption assistance.
- Participate in a 401(k) savings plan with a 6% match, performance incentives, tuition assistance, and recognition programs.
- Access workplace flexibility through the Flex program.
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