Senior Software Engineer

About the Company

The organization operates in the cloud technology and AI platform space, focusing on enabling customers to run AI models with high performance, compliance, and cost efficiency. It addresses challenges in managing the end-to-end AI model lifecycle, including validation, security, optimization, and monitoring, ensuring that deployed models meet strict standards for quality, safety, and performance at a global scale.

About the Rol

eThe Senior Software Engineer role on the AI platform team is responsible for building and maintaining systems that validate, optimize, and secure AI models before and during deployment. This position impacts the reliability and safety of AI models in production by developing pipelines for vulnerability scanning, model compression, safety enforcement, and intelligent request management. The role contributes directly to maintaining rigorous standards for model quality and operational safety

.
Responsibiliti

• esDevelop and maintain model validation and security scanning pipelines to assess model quality and vulnerabilities pre-deployme
• ntImplement quantization, pruning, and optimization techniques to reduce model size and improve inference latency across hardware platfor
• msBuild safety systems that enforce compliance policies and mitigate risks like jailbreaking and prompt injecti
• onDesign infrastructure for model routing and prompt management to handle requests across multiple model varian
• tsContribute to frameworks that evaluate accuracy, performance, and safety metrics throughout the model lifecyc

le
Requireme

• ntsMinimum 5 years of relevant experience and a Bachelor's or Master's in Computer Science, Machine Learning, or related fi
• eldHands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX, including training, fine-tuning, and inference optimizat
• ionProficiency in model quantization techniques such as GPTQ, AWQ, or GGUF and understanding of compression effects on accuracy and late
• ncyExperience with large language models, transformer architectures, and multi-modal AI syst
• emsKnowledge of model safety and responsible AI practices, including content filtering and adversarial robustness evaluat
• ionProficiency in Python and experience developing production data or ML pipeli
• nesFamiliarity with containerized deployment, CI/CD, and cloud infrastructure is preferred but not requi

red
Compensa

tion$121,400 — $218,600 USD annually (for US-based candida

tes)Compensation for other locations will be determined based on the candidate's experience, skills, and other relevant fact

ors.
Benefits &

• PerksFlexible work options allowing employees to work from home, office, or both within the advertised co
• untryBenefits designed to support health, finances, family, work-life balance, and personal pur

suits
Equal Opportunity Sta

tementOur client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national o

rigin.
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