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AI Software Engineer - Agentforce - Job Opportunity at Salesforce

San Francisco, US
Full-time
Mid-level to Senior
Posted: April 16, 2025
Hybrid
USD 137,100 - 276,100 per year

Benefits

Comprehensive benefits package typical of top-tier tech companies as referenced at salesforcebenefits.com
Competitive equity compensation aligned with Silicon Valley standards
Career development and learning resources
Health and wellness programs

Key Responsibilities

Lead end-to-end development of scalable AI services supporting thousands of tenants
Drive system optimization through advanced automation and performance tuning
Participate in on-call rotations for critical issue resolution
Collaborate with cross-functional teams on AI innovation and product development
Design and implement LLM guardrails and citation systems

Requirements

Education

Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field

Experience

3+ years of industry experience in ML engineering

Required Skills

Strong programming skills in Python or Java Experience with distributed systems Knowledge of Kafka, Spark, Docker, and Hadoop LLM and prompt engineering expertise Deep learning and machine learning fundamentals Vector databases and embeddings knowledge Strong problem-solving capabilities Excellent communication skills
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Sauge AI Market Intelligence

Industry Trends

The rapid evolution of generative AI is creating unprecedented demand for engineers who can build and deploy LLM-based systems at scale There's a growing emphasis on responsible AI development, particularly around citation systems and guardrails The convergence of traditional CRM systems with AI capabilities is reshaping enterprise software development

Salary Evaluation

The offered salary range is competitive for the San Francisco market, though top performers with deep LLM expertise could command up to $350,000 including total compensation

Role Significance

Likely part of a 5-8 person core AI engineering team within a larger organization of 20-30 technical staff
Mid to senior-level position with significant technical ownership and architectural decision-making authority

Key Projects

Development of enterprise-scale LLM deployment systems Creation of AI safety and governance frameworks Integration of generative AI capabilities into existing CRM infrastructure Building scalable citation and verification systems for AI outputs

Success Factors

Deep understanding of both theoretical and practical aspects of LLM deployment Ability to balance innovation with enterprise-grade reliability Strong collaboration skills across technical and business domains Experience with high-scale distributed systems

Market Demand

Extremely high demand with significant competition for talent, particularly given the specialized focus on LLM systems and enterprise-scale AI deployment

Important Skills

Critical Skills

LLM engineering expertise is fundamental as it forms the core of the role's technical requirements Distributed systems experience is crucial for handling enterprise-scale deployments AI safety and governance knowledge is essential for building responsible AI systems

Beneficial Skills

Knowledge of CRM systems and enterprise software architecture Experience with cloud infrastructure and containerization Understanding of AI ethics and responsible development practices

Unique Aspects

Direct involvement in shaping enterprise AI adoption
Opportunity to work on cutting-edge LLM applications at massive scale
Balance of innovation and enterprise reliability requirements

Career Growth

2-3 years in role before advancement, accelerated by successful large-scale deployments

Potential Next Roles

Lead AI Engineer AI Architecture Lead Technical Product Manager - AI Products AI Platform Engineering Manager

Company Overview

Salesforce

Salesforce is the global leader in CRM, undergoing a significant transformation toward AI-first products and services

Top-tier enterprise software company with significant resources and market influence in AI adoption
Major presence in San Francisco with global reach and impact
Innovation-focused environment with strong emphasis on continuous learning and ethical AI development
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