AI Solutions Engineer
在 Livefront,我们帮助公司设计和构建世界级的数字产品,吸引人们注意力并激发欢乐。我们帮助 CVS,三星,通用米尔斯和 Optum 等家居的名人创造出数百万人的体验,HomeSpotter 和 Credly 这样的初创企业建立了全新的企业,挑战其行业现状。我们正在寻找一个人工智能解决方案工程师加入我们的团队。你是个有思想的,创造性的问题解决工程师,在前沿技术与真实世界的影响交叉处壮成长。凭借人工智能,LLM,基于 RAG 的架构和机器学习方面的深厚经验,你拥有将新兴能力转化为创新的实用解决方案的无可挑直觉。你在废弃研发喷雾中快速原型设计想法上同样擅长,就像运输强大的可扩展代码一样。导航建筑设计和实践实现都自然来了,你很快掌握不熟悉技术。你清楚地向内部团队阐明复杂的技术要求,并自信地与客户合作伙伴进行战略讨论。你的工程原则是成熟但适应性,由持续学习,协作和不断发展的技术环境塑造。你好奇和务实,被工艺驱动到构建直观,性能高,有思想设计的智能系统。你热衷于为人工智能创造一个道德,创新和影响力的未来。你将做什么 · 与客户密切合作了解他们实现人工智能技术的业务目标,提出可持续和可行的技术解决方案,并根据反调整战略。· 通过制定技术标准,进行代码审查和为产品视觉做贡献来向你提供 AI 专业知识的指导和辅导工程团队。· 参与技术增长,探索新技术和方法。· 领导客户需求量身定制的强大的架构设计并实践这些解决方案,确保可扩展性和维护性。· 设计,开发和集成 API,数据管道和端到端基础设施,以确保系统之间的无通信。帮助优化性能,使人工智能模型能够有用,可扩展和可维护。· 适应各种项目中的技能,包括 API 设计,实体技术等。
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At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.
We’re looking for an AI Solutions Engineer to join our team.
Who you are
You're a thoughtful, creative problem-solving engineer who thrives at the intersection of cutting-edge technology and real-world impact. With deep experience in AI, LLMs, RAG-based architectures, and machine learning, you have an impeccable intuition for turning emerging capabilities into innovative, practical solutions. You’re equally adept at rapidly prototyping ideas in scrappy R&D sprints as you are at shipping robust, scalable code into production. Navigating both architectural design and hands-on implementation comes naturally to you, and you quickly master unfamiliar technologies. You articulate complex technical requirements clearly to internal teams and confidently engage in strategic discussions with client partners. Your engineering principles are mature yet adaptable, shaped by continuous learning, collaboration, and the evolving technological landscape. You're curious and pragmatic, driven by craft to build intelligent systems that are intuitive, performant, and thoughtfully designed. You're passionate about shaping an ethical, innovative, and impactful future for AI.
What you will be doing
- Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback.
- Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision.
- Engage in technical spikes to explore new technologies and methods.
- Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability.
- Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable.
- Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs.
- Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.
Why you should apply
- You want to work with passionate and talented people who are always looking for ways to make things better.
- You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
- You want colleagues who take their work seriously but not themselves, and who know how to find fun in the work.
- You like being part of a team that has a reputation for excellence and gives back to the community by educating, mentoring, and sponsoring.
- You want to work on products and accounts that have outsized impact and reach.
- You believe in sweating the details, committing to quality, and taking pride in going the extra mile.
What you bring to the table
- At least 7-10 years of software engineering experience, preferably in a consulting environment or as part of an in-house, cross-functional product team.
- Full-stack engineering experience in web or native mobile.
- Experience with Python/JavaScript, Cloud Infrastructure & DevOps, LLMs & RAG Architecture, and event-driven architectures.
- Data engineering experience that will enable successful AI implementations.
- Demonstrated expertise in architecting, building, maintaining, and scaling modern software on various platforms.
- Experience designing APIs and writing API specifications.
- Ability to clearly articulate technical requirements to other engineers.
- A keen sense of security: you're able to think around corners and see potential risks.
- A talent for communicating directly with clients, managing expectations, and explaining advanced technical concepts and their implications.
- Excellent communication skills and a strong ability to present and defend technical and architectural choices persuasively. Advanced English proficiency.
- Exceptional problem-solving skills.
- Above-average discipline and personal organization skills.
- A demonstrated hunger for personal and professional growth.
- A self-evident love and care for the craft of software engineering.
- Comfort with occasional travel to our HQ in MN.
Bonus points if you...
- Have strong illustration chops as it relates to technical diagramming.
- Speak, write, and/or educate publicly about technical topics.
- Have publicly released your own personal, self-started products or apps.
- Enjoy tinkering with languages and frameworks such as Tensorflow, SciKit Learn, or training machine learning models from scratch.
- Have experience with advanced prompt engineering techniques.
- Enjoy tinkering with emerging languages and platforms such as Go, Rust, Alexa, and/or Unity.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).
Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Compensation is $130,000 - $175,000 per year
Additional information
We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.
Originally posted on Himalayas