Description
Imagine a world where paying bills, checking balances, and managing finances feels effortless. Conversational AI is the key to ultimate convenience for customers, and CloudWalk is at the forefront of this revolution.
Are you passionate about innovation and pushing the boundaries of how people interact with their money? If so, you have come to the right place! We are looking for brilliant minds to join our team and be hands-on architects of the future of financial services. Join us today!
About the team:
Our team is developing innovative conversational AI solutions that empower both internal and external customers. We value bold experimentation and out-of-the-box thinking to break through barriers and make the impossible possible. Collaboration is at the heart of our team culture. We believe in the power of collective intelligence and thrive in a supportive environment where challenges are embraced as opportunities for growth. We celebrate successes together and foster a culture of continuous learning.
About the job:
We are seeking passionate individuals who thrive in a fast-paced environment and are eager to explore the latest advancements in conversational AI. Your main responsibility will be to regularly define, conduct, and document experiments to test new features and frameworks for our conversational AI solutions. This role offers the opportunity to learn rapidly through quick iterations and play a pivotal role in shaping the future of our technology.
The ideal candidate is a problem-solver extraordinaire. You have the ability to break down complex challenges into manageable steps, allowing us to experiment and iterate efficiently. Your successful experiments will directly impact our operational teams and find real-world applications.
Are you a highly specialized conversational AI expert feeling stuck in a siloed role? Do you crave the opportunity to broaden your skill-set and make a real-world impact with your expertise? Our team offers a unique opportunity to combine your deep knowledge in specific areas like knowledge graphs, multi-agent systems, or evaluation methodologies with the chance to learn new skills across the entire conversational AI pipeline.
The ideal candidate possesses:
- Experience in designing, conducting, and analyzing generative AI experiments, ideally focused on dialogue generation and response coherence
- An agile mindset with a focus on continuous delivery and iteration for rapid prototyping and improvement of our chatbots’ functionalities
- Strong communication and collaboration skills to effectively work with cross-functional teams and explain technical concepts to non-technical stakeholders
In-depth knowledge and experience in one or more of the following:
- Expertise in building and querying knowledge graphs to power informative responses (experience with Neo4j a plus)
- Strong understanding of how to combine retrieval augmented generation techniques with generative models for natural and coherent dialog flows
- Familiarity with multi-agent systems and a strong interest in exploring their application for building collaborative chatbots
- Expertise in applying reinforcement learning techniques based on human feedback to optimize chatbot performance
- Knowledge of how to evaluate the effectiveness of RAG chatbots, including metrics for retrieval accuracy, response coherence, and factual correctness.
Our recruitment process:
The recruitment process is designed to be efficient and informative.
Here is a general outline:
Online technical assessment
Technical interview
Cultural interview
Diversity and Inclusion: We believe diverse perspectives and backgrounds fuel groundbreaking innovation. That is why we foster a welcoming work environment where everyone feels valued and empowered to contribute their unique ideas, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability or education.
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