8 часов назад
Product Solutions Engineer (AI)
125 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Solutions Engineer (AI): Translating customer requests into impactful product features and supporting state customers through technical requirements, testing, troubleshooting, and training with an accent on AI utilization, automation, and user-centered design. Focus on evaluating LLM solutions, validating data, designing RAG architectures, managing cross-functional risks, and connecting technical feasibility with customer needs.
Location: Remote, with frequent travel requirements and flexibility to commute to the office as needed.
Salary: $125,000–$140,000 per year, plus equity.
Company
is a startup modernizing a legacy industry through software, AI technology, and automation for state customers.
What you will do
- Translate customer requests into product requirements and impactful features with product managers and engineers.
- Capture, document, prioritize, and communicate client requirements, technical specifications, risks, and dependencies.
- Develop and execute test strategies to verify feature quality and performance.
- Provide technical support, troubleshooting, and client training for software tools.
- Collaborate with engineering, product, and operations teams to improve workflows and AI utilization.
- Identify product enhancement opportunities and contribute to development process and tooling improvements.
Requirements
- Bachelor’s degree in computer science, engineering, or a similar technical field.
- 2–3 years of experience in an engineering role, including customer-facing work.
- Experience with Agile methodologies, cross-functional collaboration, and independent prioritization.
- Ability to write clean, maintainable code in a relevant language such as Python or React, with basic knowledge of HTML5, CSS3, and web APIs.
- Experience with AI model monitoring, data validation, automation tooling, AWS Bedrock, Python, SQL, CI/CD, Docker, and AWS.
- Knowledge of LLM evaluation, RAG architectures, LLM MCP servers, prompt engineering, and function calls.
Nice to have
- Experience with MLflow and Airflow.
- Experience with LangChain or PydanticAI.
Culture & Benefits
- Majority remote work with flexibility to commute to the office and frequent travel.
- Competitive benefits for employees and dependents.
- Meaningful equity upside and opportunities to learn and grow in a startup environment.
- Optional, encouraged company retreats held once or twice per year.
- Opportunity to influence the benefits program and product roadmap.
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