Large Language Model (LLM) Engineer ? ML & AI

Job Description

Large Language Model (LLM) Engineer ? ML & AI Location: Full Time, In Office (Gurugram / Bengaluru). Comp: up to ?2.5Cr (including ESOPs) About Us: We are an early-stage startup disrupting the Observability domain with Generative AI and Machine Learning. Our team includes experienced entrepreneurs and engineers who have built multiple billion-dollar products from scratch. As a well-funded US-based company backed by top-tier VCs, we have offices in the US, India, and Europe. Join us in our fast-paced environment where you?ll have a front-row seat to shape the future of AI-driven Observability solutions. 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. ? Collaborate 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 (NumPy, Pandas, HuggingFace Transformers, PyTorch, LangChain). What We?re Looking For: ? 3?5 years of experience in AI, Machine Learning, or NLP. ? 2+ years of hands-on experience building models from the 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 a related field; Master?s or PhD preferred. ? Proficiency in Python and libraries like Transformers, PyTorch, and 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 (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 and long-term commitment. ? Opinionated yet open-minded. ? Passion for craft and innovation. ? Humility and integrity. ? Adaptability and self-sufficiency. ? Rapid iteration: build fast and break fast. What You?ll Build: You will be at the forefront of creating the next-generation Observability platform using advanced LLMs to reason over complex system signals. You will fine-tune large models, optimize them for production, and develop frameworks to evaluate and deploy intelligent AI agents that assist in diagnostics and monitoring. This is a rare opportunity to work with a veteran founding team and shape the future of AI-driven infrastructure. Apply here : https://sheets.whitetable.ai/large-language-model-llm-engineer-ml-ai-dc7816