LLM Engineer – ML & AI

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(*Note: This is a requirement for one of Uplers' client - Ciroos)What do you need for this opportunity?Must have skills required:LLM agent development, Time Series Analysis, AI, Machine Learning, NLP, LLM TrainingCiroos is Looking for:LLM Engineer – ML & AI

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About Us:

What You’ll Work On

• Train and fine-tune Large Language Models (LLMs) for tasks related to reasoning, diagnostics, and observability.
• Build efficient LLM distillation and quantization pipelines to optimize large models for real-time performance.
• Design LLM evaluation frameworks to benchmark model accuracy, reasoning capabilities, and production-readiness.
• Develop prompt engineering strategies and instruction tuning datasets tailored to observability and monitoring use cases.
• Create LLM Ops workflows to manage model lifecycle — including versioning, deployment, and monitoring.
• Integrate LLMs into an intelligent root cause analysis system, powered by causal reasoning, time series data, and anomaly detection.
• Work closely with ML engineers and product teams to translate research into production-grade features.
• Build tools to simulate, test, and evaluate LLM agents for diagnostic and monitoring applications.
• Handle large-scale datasets using Python and its ML ecosystem (e.g., NumPy, Pandas, HuggingFace Transformers, PyTorch, LangChain).
  

What We’re Looking For

• 3-5 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 (mutil-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. Master’s or PhD preferred.
• 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).
• Prior experience with time series analysis, anomaly detection, or causal inference is a plus.
• Background in LLM agent development, multi-agent coordination, or autonomous reasoning systems is a strong plus.
• Experience in observability, monitoring, or devops tooling is a big bonus.
  

Our Values:

• Loyalty & Long-term Commitment – We invest in people who invest in us.
• Opinionated yet Open-Minded – We value strong perspectives but encourage constructive discussions.
• Passion – We seek individuals who are passionate about their craft.
• Humility & Integrity – Honest, transparent, and accountable team members are key.
• Adaptability & Self-Sufficiency – Ability to thrive in a fast-paced and evolving environment.
• Build Fast and Break Fast – We believe in rapid iteration and learning from failures.
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  

About Uplers: