💰 $150,000 - $200 🌍 San Francisco Bay Area 📅 08/29/2024
About wover.ai
Our contextually aware AI empowers employees to be more productive and focused
on what really drives your business forward. Applying the latest in generative
AI models, wover.ai supercharges your critical data, processes, and decision-
making frameworks into seamless automated interactions, leaving your employees
to be hyper focused on what matters and less on what can be automated.
We are on the lookout for AI superstars to contribute to the development of
wover.ai’s innovative AI solutions that redefine how we work and get $#!+
done.
Interested? Come to work with us.
About your role
We seek Pioneer’s, so if you are the take a walk in the woods type or have a
healthy appetite for operating at the edge of possible and happen to be a Full
Stack Engineer (FSE), we want to hear from you.
We are seeking a highly capable and curious FSE to join our R&D team who are
laser focused on building the context-aware, domain smarts AI platform that is
empowering employees to reach their highest aspirations.
As a wover.ai FSE, you will be responsible for developing and implementing
cutting-edge solutions that leverage the latest in generative AI and ML
technologies.
You will design, develop, implement, and continuously improve our end-user
facing employee empowerment interfaces. Interfaces can be standalone web
applications or integrated into existing popular productivity suites. You will
work closely with a small team of AI researchers and internal stakeholders to
fully understand end-user interface requirements, 3rd party integration
requirements, and translate those into efficient frontend and backend
infrastructure, enabling scalable data ingestion, cleanup, efficient AI model
training / re-training pipelines that have demonstrable business metrics, and
to expose those inferencing capabilities.
You will get to
Design, develop, and deploy context-aware AI systems using a full stack
development approach
Collaborate with product managers, data scientists, and UX designers to
understand business requirements and translate them into technical
specifications
Build scalable and efficient backend systems that integrate with various data
sources and APIs
Implement front-end interfaces and user experiences that leverage wover.ai’s
capabilities to deliver employee empowerment through prompting, personalized
and domain specific recommendations
Optimize and fine-tune data pipelines for improved accuracy, performance, and
scalability
Ensure the security, reliability, and integrity of the application by
implementing best practices and following industry security standards
Conduct thorough testing and debugging of software applications across various
levels of the stack to ensure high-quality deliverables
Provide technical guidance and support to other team members, fostering
knowledge sharing and collaboration
You will have 5+ years’ experience with
Demonstrable experience in full stack development with strong experience in
web frameworks with clear ability to work fully independently across the
layers of the stack from UI, webservices, backend databases leveraging
available cloud services from AWS/Azure
Proven experience as a full stack developer with expertise in multiple
programming languages (e.g., Python, JavaScript, Java, C#)
Proficiency in building and deploying scalable backend systems using modern
frameworks and technologies (e.g., Node.js, Django, Flask)
Solid understanding of front-end development technologies such as HTML, CSS,
and JavaScript frameworks (e.g., React, Angular, Vue.js)
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and
containerization technologies (e.g., Docker, Kubernetes)
Demonstrable experience working with AI/ML researchers, setting up AI/ML data
pipelines using standard frameworks like Spark, Kubernetes etc., on public
cloud environments
Experience developing scalable APIs and services for AI/ML models for
application to leverage with necessary authentication and authorization
Prior Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch,
scikit-learn) for model development and training is a plus
Excellent communication and interpersonal skills
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related
field
Bonus Points
Experience in developing context-aware systems, recommendation engines, or
personalized user experiences leveraging AI techniques
Experience developing a commercially deployed scalable full stack solution
Knowledge of Natural Language Processing (NLP) techniques and tools
Familiarity with big data processing frameworks (e.g., Hadoop, Spark) and
databases (e.g., SQL, NoSQL)
Experience with large-scale data processing and parallel computing techniques
Knowledge of various enterprise technologies used in large scale enterprises
