We are searching for a versatile AI Software Engineer with a deep understanding of Emerging LLM App Stack and in-context learning workflow. Your role would be instrumental in building, enhancing and maintaining our AI-driven features, specifically as they relate to OpenAI's GPT-4 API and its functions.
Responsibilities:
• Develop and maintain AI applications, primarily using GPT-4 API.
• Design, expand and maintain AI tools for a broad set of applications.
• Stay updated on the latest trends in AI, including emerging prompting techniques and AI agent construction.
• Contribute innovative ideas for future where Pulley's agent is interacting with other agents.
• Actively manage data and increase relevancy of vector search through strategic embeddings.
Requirements:
• Degree in Computer Science, AI, or a related field.
• Detailed understanding and experience with the in-context learning workflow (Data preprocessing / embedding -> Prompt construction / retrieval -> Prompt execution / inference).
• Familiarity with emerging prompting techniques (CoT, ToT, Zero/Few-shot prompting etc.). Active reading of new papers on prompting is highly desirable.
• Familiarity with building AI agents, particularly with langchain's agents, memory, and chain modules being a plus point.
• Thorough understanding/experience with functions API is required.
• Proficiency in Python, JavaScript, or similar.
• Understanding of AI, ML, and NLP.
• Excellent communication skills.
Desirables:
• Experience with Golang and Typescript.
• Experience with customer service platforms.
• Familiarity with legal documentation.
• Knowledge of LLM caching mechanisms.
• Creative problem-solving skills.
• Adaptability in a fast-paced environment.
• Capacity to consume new information directly from the source (papers, documentations etc.) as it's being published.
We Offer:
• Competitive salary and benefits.
• Opportunity to work with cutting-edge AI technology.
• Collaboratively innovating within a remote team environment.
Annual Salary Range
$160,000—$210,000 USD