Lead LLM Applications Engineer — Remote (India)

system_two; Palo Alto (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

System Two Security is seeking a Principal LLM Application Engineer to lead development and optimization of advanced LLM solutions. You will implement GenAI strategies, RAG and function calling techniques, and guide ML engineers across cross-functional teams.

The role emphasizes ownership of projects, architectural decisions, and scalable AI/ML capabilities within a microservices framework for cybersecurity products. Remote work from India is available.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 5+ years in NLP, ML, or data science.
• Experience with Python or R.
• Experience with large language models (GPT-3+, LLAMA).
• Experience with deep learning frameworks.
• Experience building, testing and deploying ML models.

Responsibilities

• Develop and optimize LLMs with focus on performance and accuracy.
• Evaluate LLM performance for efficiency and business alignment.
• Integrate RAG, function calling, and code interpreter tech.
• Research and stay updated on LLM advancements and ML ops.
• Lead data/model parallel training and scalable pipelines.
• Mentor ML engineers and collaborate across product teams.
• Document methodologies and results for stakeholders.
• Contribute to product roadmap and AI strategy.
• Design/deploy ML models and LLM pipelines at scale.

Skills

NLP experience

Machine learning

Python

LLMs

Deep learning

DevOps/MLOps

Cloud computing

Communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

GPT-3+

LLAMA

TensorFlow/PyTorch

Job description

System Two Security is seeking a Principal LLM Application Engineer to lead development and optimization of advanced LLM solutions. You will implement GenAI strategies, RAG and function calling techniques, and guide ML engineers across cross-functional teams.

The role emphasizes ownership of projects, architectural decisions, and scalable AI/ML capabilities within a microservices framework for cybersecurity products. Remote work from India is available.