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Job Category
Software EngineeringJob Details
Position Overview
As an AI Engineer with expertise in using Large Language Models (LLMs) and Prompt Engineering, you will drive innovation by designing, fine-tuning, and optimizing the use of LLMs for a variety of enterprise use cases. You will work at the intersection of research and practical implementation, developing state-of-the-art solutions to transform how organizations leverage AI in their workflows.
Key Responsibilities
Design, implement, and tune robust APIs and API framework-related features that perform and scale in a multi-tenant environment
Design and develop generic, customer-facing objects that promote both ease of use and customization.
Design and experiment with creative prompts to optimize the performance of LLMs for specific use cases, ensuring accuracy, relevance, and efficiency.
Implement techniques like few-shot learning, chain-of-thought prompting, and context tuning to enhance LLM outcomes.
Use pre-trained LLMs (e.g., GPT, Llama, Falcon) for Salesforce-specific applications using prompt engineering and reinforcement learning from human feedback (RLHF).
Build and maintain datasets for training, fine-tuning, and evaluation of LLMs for various use cases.
Develop metrics and tools to evaluate model performance, reliability, and fairness.
Deploy LLM prompts into production systems, ensuring scalability, security, and efficiency.
Collaborate with product managers, engineers, and designers to identify and implement AI-driven solutions.
Stay at the forefront of LLM research and emerging technologies to recommend and integrate advancements into Salesforce’s AI strategy.
Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available
Analyze large-scale datasets to uncover patterns, insights, and opportunities for AI applications.
Ensure data quality, security, and compliance with industry standards.
Required Qualifications
Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Strong expertise in LLMs/MLMs (e.g., GPT, BERT, T5, Llama) and prompt engineering techniques.
5+ years of professional software development experience
High proficiency in Java programming language
Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit
Experience in REST-based API development, API lifecycle management and/or client SDKs development
Solid understanding of both relational and non-relational databases.
Ability to translate business needs into AI solutions and communicate complex technical ideas to non-technical stakeholders.
Proven experience working in cross-functional teams to deliver impactful results.
Ability to effectively communicate and execute with geographically distributed teams.
Experience in a fast-paced technical environment with changing priorities
Ability to develop and ship products in quick increments across multiple versions
Preferred Qualifications
Experience with reinforcement learning techniques such as RLHF.
Knowledge of model interpretability, bias mitigation, and ethical AI practices.
Proficiency in Python and popular ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
Prior experience in building AI solutions for enterprise software or SaaS platforms.
Contributions to open-source NLP or AI projects.
Data Science Expertise:
Strong background in NLP, ML, deep learning, and/or data preprocessing techniques.
Experience with tools for data annotation, curation, and augmentation.
What We Offer
Opportunity to work with world-class talent and cutting-edge AI technologies.
Competitive compensation package, including benefits, stock options, and performance-based bonuses.
Flexible work arrangements, including remote work options.
A collaborative and inclusive workplace culture that encourages innovation and growth.
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Posting Statement
does not accept unsolicited headhunter and agency resumes.
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