Kindly let me know if you are interested in this opportunity
Location: Remote
Contractors: YES
Year of experience - Overall 10+
JD-
We are looking for a resource who can help in developing new functionality of our GenAI chat platform and help in supporting end-to-end use cases. The ideal resource needs to have a good track record in developing chatbot solutions. Should have a solid understanding of the architectural principles in chatbots for knowledge management and self-service functionality by invoking APIs for validation, request completion, etc. Should have a good ability to translate business needs into working solutions aligned with enterprise architecture.
The resource should be able to design and implement solutions using Large Language Models (LLMs) using direct APIs to LLMs and also via solutions such as Retrieval Augmented-Generation (RAG). The ideal resource is a strong developer that can optimize performance for latency, costs, concurrency, while maintaining high accuracy and high security. Should have an understanding of the structure of various backend systems such as authentication, authorization, enterprise databases, enterprise APIs, etc., in the context of an end-to-end solution. Should have strong backend programming skills in Python, expertise with AWS cloud environment, and experience in SQL. Fluency in core concepts of RAG, LLMs, and prompt engineering are required. Ability to assess end-to-end bot design and performance is desired. Familiarity with current trends and best practices in AI/ML is desired. Should be able to collaborate with cross-functional Agile teams to deliver new functionality and use cases within the chatbot platform.
The candidate will work closely with stakeholders, tech-leads, and product owners on prioritized features. The candidate will work on designing solutions, develop code, and also work with junior members on implementation details and code reviews.
Skills:
Demonstrated experience in developing chatbot solutions.
Understanding of end-to-end solution patterns of chatbot solutions and related trade-offs.
Experience collaboratively working with stakeholders and technical team members in an agile environment.
Experience in chatbot interfaces and how they tie into backend systems.
Strong experience in cloud technologies such as AWS and Azure (AWS preferred).
Strong programming experience in languages such as Python, NodeJS, and Java.
Education and Experience:
Bachelor's degree in computer science, engineering, information technology, artificial intelligence, or a related field. Work experience can be a substitute for the degree requirements.
Technical Qualifications:
Expertise in designing, developing, and deploying chatbot solutions.
Experience in developing and consuming APIs that interact with LLMs.
Experience with prompt engineering with LLMs and an understanding of advantages/limitations of different LLMs.
Experience with cloud environments such as AWS or Azure (AWS preferred).
Fluency in core concepts of RAG, LLMs, and prompt engineering are required.
Experience with traditional conversational AI platforms is a plus.
Strong understanding of aspects such as concurrency, latency, and trade-offs between high accuracy, cost, and high security.
Experience with end-to-end solution design to deployment process is a strong plus.