AI/ML Software Engineer

Ciroos; San Francisco (CA); On-site; USD 125,000 - 189,000; Full time

Job summary

Ciroos seeks a Mid-Senior level AI Engineer to advance their AI SRE team. This role involves building and optimizing AI models, working closely with a dynamic founding team, and contributing to innovative AI-driven infrastructure solutions. Ideal candidates will have significant experience in developing AI technologies and a strong foundation in computer science.

Qualifications

• 3+ years of experience in AI, Machine Learning, NLP.
• 2+ years of hands-on experience building models from ground up.
• Deep expertise in LLM fine-tuning and model compression.

Responsibilities

• Build next-generation AI SRE Teammate using advanced AI technologies.
• Fine-tune large models and optimize them for production.
• Create frameworks for deploying AI agents to assist diagnostics.

Skills

AI

Machine Learning

NLP

Python

Pattern Recognition

Neural Networks

Statistics

Data Analysis

Problem Solving

Analytical Skills

Education

Bachelor’s degree in Computer Science, AI/ML, or related field

Tools

Transformers

PyTorch

TensorFlow

Job description

At Ciroos, our mission is to provide an AI SRE teammate that empowers SREs to be superheroes. Most companies like to play it safe; we're not most companies. Build. Test. Iterate. All at lightning speed in service of our customers. Tickle your curiosity! Are you a builder who is excited by the challenges of AI-human interaction and are passionate about solving complex problems in engineering?

Responsibilities

You will be at the forefront of building our next-generation AI SRE Teammate using advanced AI technologies. You’ll work on fine-tuning large models, optimizing them for production, and creating frameworks to evaluate and deploy intelligent AI agents that assist in diagnostics and monitoring. This is a rare opportunity to work with a seasoned founding team and shape the future of AI-driven infrastructure.

Qualifications

• 3+ years of experience in AI, Machine Learning, NLP
• 2+ years of hands-on experience building models from ground up or fine-tuning large language models (multi-billion parameters)
• Deep expertise in LLM fine-tuning, distillation, model compression, and efficient inference techniques
• Bachelor’s degree in Computer Science, AI/ML, or related field
• Proficiency in Python and libraries like Transformers, PyTorch, TensorFlow
• Experience building LLM training datasets, synthetic data generators, and prompt tuning frameworks
• Familiarity with LLM evaluation, including factuality, hallucination detection, and functional correctness
• Strong understanding of LLM Ops principles (e.g., model tracking, deployment pipelines, performance monitoring)
• Proficiency in Pattern Recognition and Neural Networks
• Strong foundation in Computer Science and Algorithms
• Knowledge of Statistics and Data Analysis
• Excellent problem-solving and analytical skills
• Ability to work effectively in a team-oriented environment
• Experience with AI and Machine Learning technologies

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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