What are the responsibilities and job description for the Software Engineer for Large Language Model Platform position at Acceler8 Talent?
Software Engineer for Large Language Model Platform
Join a leading AI solutions company as a skilled Software Engineer for Large Language Model Platform and be part of an innovative R&D team. This is an incredible opportunity to work on revolutionary large language model (LLM) technologies that empower enterprise customers, and if you are eager to develop scalable and reliable systems, this role may be your ideal next step.
This organization is committed to equipping enterprises with the means to create their own Expert AI. With a focus on enterprise-level security, flexibility, and minimizing hallucination, their platform enables customers to train and deploy tailored models using their own data. The team consists of dedicated engineers and researchers working with impactful technologies, backed by leading VCs and tech companies. As a Software Engineer for Large Language Model Platform , you will play an essential role in the development and upkeep of these advanced AI systems.
In this position, you will be tasked with design, implementation, and maintenance of LLM platforms that operate on Kubernetes. You will tackle intricate distributed systems, resolve challenging issues across Kubernetes clusters, and ensure the seamless operation of customer-facing systems. This hands-on role requires strong technical skills combined with a proactive approach. You will also work closely with cross-functional teams, including ML engineers, application developers, and product managers to create high-quality platform features.
What We Offer You :
- Equity and comprehensive benefits package.
- Opportunity to collaborate with top engineers on groundbreaking AI platforms.
- A supportive and inclusive team environment.
- Access to cutting-edge infrastructure and tools.
- A fast-paced, mission-driven culture centered around innovation and impact.
Key Responsibilities :
The ideal candidate will possess strong proficiency in Python (or similar programming languages) and familiarity with Kubernetes , distributed systems , and machine learning workflows . Experience with LLM training , inference , and RAG systems will be beneficial. We welcome candidates with experience building or contributing to platforms for large-scale AI applications. A solid understanding of open-source tools , GPU management , and CI / CD pipelines will be invaluable in succeeding in this role.
