Senior/Lead AI Engineer – Backend – AI Integration
| Company | Salesforce |
|---|---|
| Location | Palo Alto, CA, USA, San Francisco, CA, USA |
| Salary | $172000 – $276100 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- 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
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
- 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
Preferred Qualifications
- 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