Company Overview: Science On Call is revolutionizing restaurant tech support through cutting-edge AI and automation tools. As a rapidly growing startup, we've graduated from prestigious accelerator programs like Techstars Farm to Fork and Food Foundry. Our mission is to liberate restaurants from digital operational headaches, enabling them to focus on delivering exceptional dining experiences
Join Us:
If you're passionate about leveraging AI and automation to transform industries, Science On Call offers an exciting opportunity to make a significant impact. Join us in redefining restaurant tech support and beyond.
Role Overview: As our first in-house engineer, you will play a pivotal role in shaping the future of Science On Call's product and the product engineering team. Working closely with the Head of Product and CTO, you'll lead the development of our AI-powered platform, taking it from today’s MVP to tomorrow’s enterprise-level solution.
Responsibilities:
- Take the lead as SOC's first in-house engineer, shaping our product with your engineering expertise.
- Collaborate with leadership to refine and execute our ambitious product roadmap.
- Drive the evolution of our product engineering culture and mentor future team members.
- Stay at the forefront of technological advancements through continuous learning and professional development.
Expertise:
- Azure: Proficient in Azure Machine Learning services, Azure Cognitive Services, and Azure Kubernetes Service.
- LLM APIs: Experience with large language model APIs and integrating them into applications.
- Machine Learning: Strong understanding of machine learning algorithms and frameworks.
Experience:
- Professional Experience: 3+ years of experience in AI/ML engineering with a proven track record of deploying AI applications on Azure, specifically involving LLM APIs for GenAI.
- DevOps Knowledge: Familiarity with CI/CD pipelines, containerization, and orchestration.
- Data Management: Experience in data preprocessing, cleaning, transformation, and knowledge of SQL/NoSQL databases.
- API Integration: Experience with creating and consuming RESTful APIs and integrating LLM-based services with other systems.
- Automation: Familiar with creating and managing bots in the Automation Anywhere environment.
- Front End: Experience in wireframing, UI/UX processes, and/or creating front-end web pages.
- Automations: Experience with “Digital Workers”/robotic process automation (RPA).
Education/Training:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with relevant Azure certifications being a plus.
Preferred:
- Experience or understanding of hospitality and the restaurant industry in particular, or hospitality tech.
Additional Details:
- This is a full-time, salaried position and includes our full benefits package.
- The annual salary range for this position is $125-150K.
- The role is fully remote, though occasional in-person work sessions are expected. Therefore, we strongly prefer candidates located in Chicagoland or the Twin Cities metro area to be in proximity to our respective Chicago/Minneapolis offices.
Job Type: Full-time
Pay: $120,000.00 - $150,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Compensation package:
Experience level:
- 10 years
- 11+ years
- 1 year
- 2 years
- 3 years
- 4 years
- 5 years
- 6 years
- 7 years
- 8 years
- 9 years
Schedule:
People with a criminal record are encouraged to apply
Ability to Commute:
- Chicago, IL 60602 (Required)
Work Location: Hybrid remote in Chicago, IL 60602