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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce is looking for experienced Machine Learning Engineer (MLE) to be part of Agentforce Knowledge Foundation team building the next-gen Retrieval-Augmented Generation (RAG), leveraging advanced generative AI services, pipelines, and components to drive the development and delivery of Agentforce. You will work on and ship impactful generative AI platforms, applications, and products used by millions of people every day.

The team

Agentforce Knowledge Foundations India team is a group of applied data scientists, machine learning engineers and software engineers that share a passion for designing data products, and building Generative AI services@scale and to help in bringing Generative AI services to production. We love to learn, teach and help each other, and we are looking for people with a collaborative attitude and openness to others' ideas.

The role

You will play a critical role in incorporating artificial intelligence and generative AI into the Salesforce. You will participate in the end-to-end AI product development lifecycle. You will design and develop the scalable generative AI system and services in the domain of RAG, Enterprise Knowledge Graph, fine-tuned LLM deployments, and partner with AI Platform Engineers, Data Platform Engineers to define requirements, design and develop reusable workflow and ML pipeline.

What you’ll do

Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production.

Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis.





Participate in periodic on-call rotations and be available for critical issues.

Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production

Required Skills

10+ years of software engineering experience; including 5+ years of industry experience of ML engineering in building AI systems and/or services.

Experience with distributed, scalable systems and modern data stack, messaging and processing frameworks, including Spark / Flink, Hadoop, Kafka, Docker, etc.

Solid experience programming in Java / Python, and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

Experience with LLMs and prompt engineering.

Familiarity with Vector databases (Milvus / Pinecone), and applied generative AI frameworks like LangChain, LlamaIndex, RAG pipelines.

Proven ability to implement, operate, and deliver results via innovation at large scale

Knowledge of public cloud Data & AI services, cloud-native architecture patterns (AWS/GCP).

Good working knowledge of Deep Learning and Machine Learning algorithms. In the very least, you have a strong interest in this domain, as exemplified by coursework you've taken and personal projects you developed.

Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.

Preferred Skills

Experience in developing Generative AI systems at Scale with complex business use cases and large scale of unstructured data.

Strong Machine Learning Engineering background and familiarity with state-of-the-art generative AI techniques especially for NLP.

Expertise with applying LLMs, prompt design, and fine-tuning methods.

Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods.

Fantastic problem solver; ability to solve problems that the world has not solved before.

Excellent written and spoken communication skills.





Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

Unleash Your Potential

When 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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce 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.

Know your rights: workplace discrimination is illegal. 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.

📌 Software Engineering LMTS- MLE (Bengaluru)
🏢 salesforce
📍 Bengaluru