About the Role
We are looking for a senior, product-driven Machine Learning Engineer with deep expertise in Large Language Models (LLMs) and a strong track record of deploying real-world ML systems. In this company, you'll work at the frontier of AI and Agentic systems-collaborating closely with AI scientists and Software Engineers to translate cutting-edge research into production-ready systems. This is a hands-on, high-impact role where you'll contribute to the core intelligence of our platform and help deliver AI-native tools.
Core Responsibilities
Fine-tune, evaluate, and deploy LLMs and foundation models optimized for specific use cases.
Build scalable inference infrastructure, agentic workflows and RAG systems.
Apply techniques such as batching, caching, quantization, and streaming to support low-latency interaction.
Partner with AI scientists to translate cutting-edge research into robust, product-grade systems.
Iterate on experimental techniques, validate hypotheses, and drive integration into the product.
Required Technical Skills:
5-10 years of ML engineering experience, with a focus on shipping ML solutions to production
3+ years of hands-on experience with state of the art LLMs
Familiarity with agentic workflows, orchestration frameworks (LangChain, LlamaIndex)
Strong skills in Python and PyTorch ecosystem
Experience with vector search, semantic embeddings, and RAG pipelines
Familiarity with prompt tuning, fine-tuning, and evaluation frameworks
Deployment experience in AWS using SageMaker, Bedrock, vLLM or Triton
Understanding of scalable, production-grade ML service architecture Preferred Qualifications
Experience working directly with AI/ML researchers or scientists
Previous startup experience or work in fast-moving cross-functional teams
Open-source contributions to ML infrastructure or libraries
What We Offer
The opportunity to bring AI research into practice-not in a lab, but in the hands of engineers building the future
High-trust, low-ego environment with strong collaboration between science, product, and engineering
A team that values pragmatism, curiosity, and real-world impact
Competitive salary and early-stage equity