Software Engineering SMTS- LLM Model building

Salesforce is hiring a Software Engineering SMTS- LLM Model building in India - Bangalore.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details

Responsibilities

We are seeking a strong Senior Applied Scientist to contribute to advanced LLM research and model development for AgentForce’s production AI services. This role requires strong hands-on involvement across the full model development lifecycle, including model training, fine-tuning, evaluation, reinforcement learning, optimization, and deployment support. The ideal candidate is a strong individual contributor who can independently drive technical execution while collaborating closely with research, engineering, product, and infrastructure teams. The candidate will work on production-scale AI systems supporting enterprise-grade agentic workflows, reasoning systems, evaluation services, and multi-modal AI capabilities.

Research, Modeling & Hands-On Execution

• Execute hands-on work across the full model development lifecycle, including:

• Data preparation and curation

• Synthetic data generation

• Model training and fine-tuning

• RLHF / RLAIF workflows

• Evaluation and benchmarking

• Error analysis and iteration

• Inference optimization

• Deployment readiness

• Contribute to research and development efforts for:

• Large language models

• Tool-calling systems

Requirements

Education & Research Background

• PhD or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

• Strong research or industry experience in areas such as:

• LLMs

• NLP

• Reinforcement learning

• Multi-modal AI

• Agentic systems

Core Technical & Hands-On Requirements

• Demonstrated hands-on experience in model development, training, fine-tuning, evaluation, and experimentation.

• Strong expertise in:

• Large language model fine-tuning

• Model evaluation

• Inference optimization

• Continuous learning workflows

• Experience with:

Preferred qualifications

• Experience deploying and supporting production AI systems at scale.

• Background in:

• Enterprise AI systems

• Agentic AI workflows

• Tool-calling systems

• Multi-agent systems

• Familiarity with:

• AI trust and safety systems

• Governance frameworks

• Responsible AI practices

• Experience with:

• Multi-modal AI

• Long-context models

• Retrieval-augmented systems

• Planner and reasoning systems

• Experience with multi-GPU or distributed compute environments.

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 t