Banyan is seeking a skilled Software Engineer to join our Tech & Data Strategy team at HQ. This individual will be responsible for leveraging AI technology to qualify accounts at scale and ultimately supercharge our sales/marketing efforts to source more acquisition targets. The ideal candidate excels in Python, has hands-on language model experience, and a strong personal interest in AI, staying up-to-date with the latest developments. This position is perfect for those passionate about AI and using it to evolve enterprise processes, while being adept at navigating complex challenges and skilled in integrating applications within a collaborative team setting. Working closely with the onshore team in Canada/US, you will become an analytical change agent and have broad exposure to our business as you help us identify and roll out AI solutions to accelerate our processes.  If you're driven by data, thrive on overcoming challenges, and are excited by the idea of working in a startup-like environment that values fresh ideas, we invite you to join Banyan in Chennai. 

Responsibilities
1.    AI Strategy and Implementation: Design, develop and execute AI strategies for qualifying accounts at scale using advanced language models.
2.    Language Model Expertise: Utilize hands-on experience with GPTs and other language models to drive AI initiatives.
3.    Data Analysis and Prediction: Analyze data to make accurate predictions and improve decision-making processes.
4.    Integrations: Seamlessly integrate AI solutions with our existing technology stack to access and analyze CRM data.
5.    Optimization: Monitor system performance continuously, identifying and executing optimizations to enhance overall effectiveness.
6.    Collaboration and Innovation: Work collaboratively within the team, contributing to innovative solutions and fostering a culture of continuous improvement.

Qualifications for Success
1.    Strong Understanding of Natural Language Processing (NLP): Proficiency in NLP concepts and techniques, including text generation, sentiment analysis, and entity recognition.
2.    Technical Proficiency in AI and Machine Learning: Knowledge of machine learning algorithms, model training, and fine-tuning, especially in the context of language models.
3.    Experience with GPT and OpenAI API: Proven hands-on experience with GPT and the OpenAI API in a production environment.
4.    Programming Skills: Strong proficiency in Python and experience with AI frameworks and libraries.
5.    Creative Thinking: Ability to craft diverse and innovative prompts that elicit desired responses from AI models.
6.    Attention to Detail: Keen attention to language specifics, including grammar, syntax, and semantic nuances, to create precise and effective prompts.
7.    Problem-Solving Skills: Capability to troubleshoot and optimize prompts to improve model performance and address issues.
8.    Domain Knowledge: Understanding of the specific industry or field for which prompts are designed, ensuring relevance and accuracy.
9.    Analytical Skills: Ability to analyze model outputs and feedback to iteratively improve prompt quality and effectiveness.
10.  Communication Skills: Strong written and verbal communication skills to collaborate with team members and document prompt engineering processes.
11.  Educational Background: A bachelor's degree in computer science, data science, or a related field is preferred.