Senior/Lead AI Engineer, Salesforce

• This role demands a strong foundation in backend engineering, data science, natural language processing (NLP), and prompt engineering, with a focus on extracting the maximum potential from LLMs
• 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 Python and Java programming language
• Experience in REST-based API development, API lifecycle management and/or client SDKs development
• Solid understanding of both relational and non-relational databases
• Experience with developer tools such as Git and Jenkins
• Demonstrated experience of working with ReST and thorough understanding of its fundamentals
• Working knowledge of building B2B or B2C SaaS applications using cloud providers such as AWS, GCP, or Azure is desired
• Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, HTTP, JSON, etc
• Experience with Spring, gRPC, REST and the HTTP protocol
• Experience with Agile development methodology
• Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available
• Office-Flex: work in-person three days per week

Desirable

• As an Industries AI Engineer (Backend) with expertise in GenAI, 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 developing state-of-the-art solutions to transform how organizations leverage AI in their workflows
• You will collaborate closely with Industries Application teams & bring their ideas to fruition
• This role also involves building tooling that helps Salesforce Industries Application teams
• You will collaborate across interdisciplinary teams to integrate cutting-edge AI technologies into Salesforce’s product ecosystem
• 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
• Test driven development practices as well as CI/CD tools and its usage
• 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
• Deploy LLM prompts into production systems, ensuring scalability, security, and efficiency
• 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