AI Engineer

Overview

We are seeking an experienced AI Engineer to join our team, focusing on building large language model (LLM) serving and retrieval-augmented generation (RAG) infrastructure. This role involves working remotely, primarily for clients in the USA, under C2C or W2 terms. Candidates will engage with modern cloud services such as AWS Bedrock and Elastic Kubernetes Service (EKS), alongside infrastructure as code tools like Terraform. Expertise in Kubernetes, LangChain, vector databases, and LLM operations including evaluations is crucial.

Key Responsibilities

• Design, develop, and maintain scalable LLM serving platforms.
• Implement RAG infrastructure to enhance generative AI capabilities.
• Manage and operate Kubernetes clusters and associated cloud environments.
• Automate infrastructure provisioning using Terraform.
• Work with LangChain frameworks and vector databases for AI workflows.
• Perform LLM operations and evaluations to ensure system efficacy.

Candidate Requirements

• At least 8 years of experience in platform engineering or DevOps roles.
• Minimum 2 years specializing in generative AI infrastructure.
• Proficient in Python programming language.
• Strong knowledge of AWS cloud services, particularly Bedrock and EKS.
• Familiarity with Kubernetes orchestration and Terraform automation.
• Hands-on experience with LangChain and vector databases.
• Legal ability to work in the USA without sponsorship.

Additional Information

This position requires no sponsorship and is remote, targeting candidates able to collaborate effectively with US-based teams.