Applied AI Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Applied AI Engineer (AI): Designing and optimizing AI-powered features for insurance workflows with an accent on LLM interactions and production-ready AI behavior. Focus on developing prompt reasoning flows, evaluating model performance using real-world data, and integrating AI capabilities into scalable APIs.
Location: Remote (United States)
Company
is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users.
What you will do
- Build AI-powered product features integrated into real insurance workflows.
- Design and optimize LLM-based interactions across customer and internal systems.
- Develop prompts, reasoning flows, and structured AI outputs for production use cases.
- Evaluate model performance using real-world data, feedback loops, and experiments.
- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
- Collaborate with backend engineers to integrate AI capabilities into APIs and workflows.
Requirements
- Strong software engineering background in production environments.
- Experience working with LLMs (OpenAI, Anthropic, or open-source models).
- Familiarity with prompt engineering, structured outputs, and tool use patterns.
- Strong understanding of API-based system integration.
- Ability to evaluate AI outputs critically using data and user feedback.
- Must be based in the United States
Nice to have
- Experience with vector databases (e.g., Pinecone, Weaviate).
- Experience with experimentation, A/B testing, or evaluation frameworks.
Culture & Benefits
- High-ownership culture where engineers own AI features end-to-end.
- Collaboration within a global engineering organization across multiple countries.
- Learning and development budget to support continuous AI and engineering growth.
- Fully remote work arrangement with globally distributed teams.
- Competitive compensation package.
Hiring process
- Application evaluation by the technical team.
- 3 to 4 interviews conducted via virtual meetings or onsite.
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