eTeki Inc is a technology company that provides interview-as-a-service solutions. The company specializes in helping organizations with their technical hiring processes by offering expert interviewers who can conduct detailed technical interviews on behalf of the hiring company. This service aims to streamline the hiring process, ensure that candidates have the required technical skills, and save time for the hiring team.
Responsibilities:
Join our existing product team to become SOC’s lead (and first) in-house engineer
Under the direction of our existing leadership team, help shape the amazing product we’re building with your engineering skills
As we complete our initial testing phase of the product’s POC, we expect you to hit the ground running toward the next steps of our ambitious roadmap
Help us create a product engineering culture and lead the building of a future team of engineers
Continue to add to your existing expertise through ongoing professional development (we place high value on productive curiosity and problem-solving)
Expertise:
Azure: Proficient in Azure Machine Learning services, Azure Cognitive Services, and Azure Kubernetes Service (AKS)
LLM APIs: Experience with large language model APIs and integrating them into applications. (Langchain/LlamaIndex)
Machine Learning: Strong understanding of machine learning algorithms and frameworks (PyTorch, HuggingFace) 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 (Docker), and orchestration (Kubernetes)
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)