Senior Backend Engineer- AI/ML
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In this role, you'll be responsible for designing and developing systems that use LLMs to create powerful AI-driven agents. These agents will automate business processes, streamline decision-making, and enable companies to operate more efficiently. You'll have the freedom to experiment with both existing AI models and new approaches, with a focus on fast iteration, scalability, and practical, impactful solutions.Key Responsibilities:
Develop and implement AI-based solutions: Leverage LLMs and other technologies to create next-gen automation tools that solve business challenges.
Design scalable systems: Architect solutions that not only work for immediate needs but can also scale effectively for future growth.
Quickly prototype and iterate: Build and test rapid prototypes to validate ideas and refine solutions before scaling up.
Collaborate with cross-functional teams: Work with product managers, data scientists, Salesforce Research and other engineers to build practical, user-focused solutions.
Balance innovation and pragmatism: Know when to build new models and when to optimize with smart prompts or use existing tools.What We're Looking For:
Entrepreneurial Mindset: You love solving problems, taking ownership, and seeing ideas come to life.
Strong Systems Developer: You're skilled at architecting and implementing complex, distributed systems.
Opinionated yet collaborative: You bring strong ideas and technical opinions but work well in a team, listening to others and adjusting when needed.
Practical Problem Solver: You understand when to use a simple prompt to achieve a goal versus when to build something custom.
Fast Executor with Long-Term Vision: You can move quickly to deliver solutions but think ahead to ensure scalability, performance, and maintainability.Required Skills:5+ years of experience in backend development (e.g., Java, Python, Go, or similar).Experience with prompt engineeringKnowledge of AI/ML frameworks and experience working with large language models (e.g., OpenAI, Anthropic, Gemini, etc. )Experience with cloud infrastructure (e.g., AWS, GCP) and scalable system architecture.Proficiency in data processing and working with APIs.Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)Bonus Points:Experience in building or scaling AI-powered platforms or agent-based systems.Knowledge of AI/ML frameworks such as LangGraphUnleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.