LLM Application Engineer

Artmac Soft LLC
Prosper, TX, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) User Authentication Python (Programming Language) Search Technologies Systems Integration TypeScript Large Language Models Generative AI Backend Rate Limiting Restful APIs

Job description

  • Integrate and work with LLM APIs such as OpenAI, Anthropic Claude, and Google Gemini.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
  • Implement document ingestion, preprocessing, chunking, embeddings, retrieval, reranking, and context management workflows.
  • Design and integrate vector databases for semantic search and knowledge retrieval.
  • Develop robust APIs and backend services for LLM-powered applications.
  • Implement prompt engineering strategies and reusable prompt templates.
  • Design workflows for structured outputs, function/tool calling, and multi-step LLM interactions.
  • Develop automated LLM evaluation and testing frameworks to measure quality, relevance, accuracy, latency, and reliability.

Requirements

  • 8+ years of experience in LLM Application Engineer.
  • Strong proficiency in Python and/or TypeScript.
  • Hands-on experience integrating OpenAI, Anthropic Claude, Google Gemini, or similar LLM APIs.
  • Strong understanding of Generative AI and Large Language Models.
  • Hands-on experience designing and implementing RAG architectures.
  • Experience designing and developing REST APIs and backend services.
  • Strong understanding of API authentication, rate limiting, error handling, and integration patterns.
  • Design and develop scalable LLM-powered applications for enterprise use cases., Bachelor’s degree or equivalent combination of education and experience.

About the company

Artmac Soft is a technology consulting and service-oriented IT company that provides innovative technology solutions and services to customers.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:00 min

Misconceptions about TypeScript safety capabilities

Simone Sanfratello · JS Congress

2:59 min

The danger of adopting default REST APIs

Stefan Priebsch · World Congress 2021

5:30 min

Building components of a real-world LLM lifecycle

Maxim Salnikov Maxim Salnikov · LIVE

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

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Applying software engineering principles to optimize LLMs

Mete Atamel Mete Atamel · World Congress 2024

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