AI Solutions Engineer
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Job description
Who you are
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
Additional information
Originally posted on Himalayas
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