Full Stack Engineer - Generative AI Applications

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