Senior ML Engineer | Kimchi (LLM Inference Optimization)

About Kimchi

Kimchi is an innovative technology organization committed to engineering modern, scalable products. With a collaborative distributed culture, the team empowers aspiring engineers and analysts to take ownership of real deliverables, fostering accelerated professional growth through mentorship, code reviews, and industry best practices.

About the Role

We are seeking a proactive and driven Senior ML Engineer | Kimchi (LLM Inference Optimization) to join our AI Agent Development team. This opportunity is structured as a Onsite position based out of Remote. In this role, you will apply theoretical knowledge to production challenges, collaborate with cross-functional colleagues, and help build reliable, performant solutions.

The selected candidate will receive structured guidance, participate in active sprint milestones, and gain end-to-end exposure to modern development lifecycles, team standups, and codebase management.

Key Responsibilities

• Design, evaluate, and deploy autonomous AI agents and structured reasoning pipelines.
• Implement Retrieval-Augmented Generation (RAG) architecture using vector databases and embedding models.
• Collaborate with backend engineers to integrate LLM tool-calling APIs into core product workflows.
• Benchmark prompt variations, model outputs, and latency metrics to ensure high accuracy and response safety.
• Build structured unit tests and evaluation harnesses for LLM prompts and agent decision boundaries.
• Document technical workflows, schema definitions, and implementation guidelines for internal knowledge bases.

Requirements & Qualifications

• Strong foundational proficiency in Python programming and asynchronous coding patterns.
• Demonstrated hands-on experience or coursework with LLMs, prompt engineering, or framework libraries (e.g., LangChain, LlamaIndex).
• Familiarity with vector embeddings, similarity search, and API integrations.
• Proactive mindset, eager to experiment with modern AI architectures and solve unstructured problems.
• Pursuing or completed a Degree in Computer Science, Data Science, AI, or equivalent practical project experience.