PhD Intern, Software Engineer - Graphics
Figma
Lead Software Engineer, AI Agents
Salesforce
full-time
Posted on:
Location Type: Office
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $200,800 - $276,100 per year
Job Level
Senior
Tech Stack
ApacheAWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformJavaMicroservicesNoSQLPythonSpark
About the role
- Lead the end-to-end design, development, and deployment of intelligent agents and agentic systems for Agentforce, applying AI, LLMs, and RAG techniques
- Ensure solutions are designed for distributed deployment, operational excellence, and long-term maintainability
- Architect and implement robust and efficient data pipelines and service integrations supporting contextual retrieval, citations, and responsible AI behaviors
- Research, evaluate, and integrate the latest LLM algorithms and AI technologies into agent solutions
- Design and build frameworks for distributed orchestration, inter-service communication, reliable messaging, distributed state management, and fault tolerance
- Champion software engineering best practices, including code quality, test automation, and robust monitoring for distributed systems
- Foster a culture of technical excellence and continuous learning and mentor junior engineers
- Participate in the full software development lifecycle, from architectural ideation to deployment, monitoring, and post-launch optimization
- Collaborate closely with product managers, AI researchers, and other engineering teams to define requirements and design scalable AI-driven solutions
- Troubleshoot and resolve complex technical issues related to system performance, scalability, reliability, and data consistency
Requirements
- 8+ years of professional software development experience, with a strong focus on backend systems and distributed applications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related STEM field
- Extensive experience in designing, building, and operating highly available, scalable, and fault-tolerant distributed systems
- Proven experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and deployment strategies
- Strong practical experience with Retrieval-Augmented Generation (RAG) systems, including vector databases, indexing, retrieval algorithms, and knowledge graph integration
- Proficiency in at least one modern programming language (e.g., Python, Java, Go), with a firm grasp of data structures, algorithms, and object-oriented design
- Practical experience with cloud platforms (AWS, Azure, GCP) and deploying large-scale applications within cloud-native architectures
- Demonstrated experience with distributed data storage solutions (e.g., NoSQL databases, distributed caches, distributed file systems) and stream processing frameworks (e.g., Apache Flink, Spark Streaming)
- Strong understanding of software architecture patterns (e.g., microservices, event-driven architectures)
- Demonstrated ability to lead technical initiatives, drive innovation, and mentor other engineers
- Excellent problem-solving, analytical, and communication skills
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
- Competitive compensation and benefits package
- Continuous learning and development opportunities
- benefits and resources to support balance
- Accommodations for applicants with disabilities (Accommodations Request Form)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)PythonJavaGoNoSQL databasesApache FlinkSpark Streamingcloud-native architecturessoftware architecture patterns
Soft skills
problem-solvinganalytical skillscommunication skillsmentoringleadershipcollaborationtechnical excellencecontinuous learninginnovationtroubleshooting
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceBachelor's degree in Software EngineeringMaster's degree in Software Engineering