LLM Engineer

Vurke Inc; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Vurke Inc is seeking an LLM Engineer to build and integrate large language model solutions into digital products and automated workflows. The role focuses on orchestration, retrieval patterns, system integration, evaluation, reliability, and user-facing AI functionality.

You will collaborate with AI engineers, software developers, data teams, and product stakeholders to ensure LLM-based systems are practical and scalable in real-world business contexts.

Qualifications

• Experience building LLM-based products and workflows.
• Strong Python development and AI integration skills.
• Experience with API integrations and system design.
• Ability to document technical designs and patterns.

Responsibilities

• Build LLM-based product and workflow solutions
• Support orchestration, retrieval, and response handling patterns
• Improve evaluation and reliability of AI-generated outputs
• Integrate AI capabilities into applications and services
• Collaborate with product and engineering teams on use cases
• Support monitoring, iteration, and optimization of LLM systems
• Document technical design and implementation patterns

Skills

LLM engineering

Python

AI integration

Retrieval awareness

Evaluation and testing

API integration

Documentation

Problem solving

Job description

LLM EngineerJob Title: LLM EngineerLocation: Remote, IndonesiaJob Type: Full-TimeExperience Required: 4 to 7 yearsEligibility: Male/Female both can apply

Role DescriptionWe are looking for an LLM Engineer to build and integrate large language model solutions into digital products, internal tools, and automated workflows. In this role, you will work on orchestration, retrieval patterns, system integration, evaluation, reliability, and user-facing AI functionality. You will collaborate with AI engineers, software developers, data teams, and product stakeholders to ensure LLM-based systems are practical, scalable, and aligned with real-world business needs. This role is ideal for someone who is technically strong, implementation-focused, and experienced in turning AI capability into usable applications.

Key Responsibilities

• Build LLM-based product and workflow solutions
• Support orchestration, retrieval, and response handling patterns
• Improve evaluation and reliability of AI-generated outputs
• Integrate AI capabilities into applications and services
• Collaborate with product and engineering teams on use cases
• Support monitoring, iteration, and optimization of LLM systems
• Document technical design and implementation patterns

Required Skills

• LLM engineering
• Python
• AI integration
• Retrieval awareness
• Evaluation and testing
• API integration
• Documentation
• Problem solving

Originally posted on Himalayas