6 дней назад
AI Solutions Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solutions Engineer (AI/Python): Designing and delivering production-grade AI agents and assistants for internal business teams with an accent on solution architecture, system integrations, access controls, and LLM observability. Focus on translating ambiguous business requirements into technical designs, building API-driven automations, and validating and operating solutions with real users.
Location: Singapore
Company
develops semiconductor solutions that enable enterprise, cloud, AI, and carrier data infrastructure.
What you will do
- Translate ambiguous business requirements into technical designs covering data sources, system boundaries, integrations, and access models.
- Assess custom-built versus no-code or low-code agent solutions and design systems that business teams can extend.
- Architect integrations with APIs, scheduled jobs, data platforms, Slack, and other chat surfaces, including migrations from legacy RPA approaches.
- Build Python-based backend integrations, REST and Graph API endpoints, and cron-based automation for frontend consumers.
- Integrate LLM observability and evaluation tooling to monitor groundedness, quality, hallucination risk, and production cost.
- Prototype, present, document, release, support, and iterate live solutions with stakeholders and architecture or compliance review boards.
Requirements
- 2–4 years of experience building applied AI or software solutions in a hands-on engineering role.
- Strong Python skills and experience designing and consuming REST and Graph APIs.
- Ability to translate business requirements into technical solution designs and present trade-offs to non-technical stakeholders.
- Working knowledge of LLM or agent frameworks and observability tooling such as LangSmith or LangGraph.
- Familiarity with AWS or equivalent cloud infrastructure and access-controlled data platforms such as Databricks and Unity Catalog.
- Experience with enterprise agent-builder or search platforms such as Glean.
Nice to have
- Experience with LLM evaluation methodologies, including groundedness and hallucination detection.
- Experience integrating Slack or other chat platforms.
- Experience in rapid prototyping or forward-deployed engineering.
Culture & Benefits
- Full-time employment with competitive compensation and benefits.
- Eligibility for bonus and equity plans, including a new-hire equity grant and annual equity refreshers.
- Collaborative, transparent, and inclusive work environment.
- Resources and development opportunities for meaningful technical work.
- Access to export-controlled technology may require eligibility under U.S. export control laws and an export license review.
Hiring process
- Interviews evaluate individual experience, problem-solving approach, and communication skills in real time.
- AI tools, transcription apps, automated answer generators, and automated note-taking tools are prohibited during interviews.
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