What are the responsibilities and job description for the LLMOps Engineer position at Artmac?
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company that provides innovative technology solutions and services to customers.
Job Description
Job Title :LLMOps Engineer
Job Type : W2/C2C
Experience : 8 Years
Location : Prosper, Texas
Responsibilities
Artmac Soft is a technology consulting and service-oriented IT company that provides innovative technology solutions and services to customers.
Job Description
Job Title :LLMOps Engineer
Job Type : W2/C2C
Experience : 8 Years
Location : Prosper, Texas
Responsibilities
- 8 years of experience in LLMOps, MLOps, DevOps, ML Engineering, or related areas.
- Hands-on experience with LLM deployment and productionization.
- Strong understanding of prompt engineering and prompt/model versioning.
- Experience with LLM evaluation, testing, and benchmarking.
- Familiarity with LLM observability, tracing, logging, and monitoring.
- Experience working with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, Elasticsearch, or OpenSearch.
- Proficiency in Python and experience developing automation or backend workflows.
- Familiarity with REST APIs and LLM APIs such as OpenAI-compatible APIs, Azure OpenAI, Anthropic, or Google Gemini.
- Understanding of RAG pipelines and retrieval workflows.
- Design, deploy, and maintain production-grade LLM and Generative AI applications.
- Implement workflows for LLM deployment, model versioning, and prompt version management.
- Develop and maintain automated LLM evaluation pipelines for quality, accuracy, relevance, and safety.
- Implement LLM tracing and observability to monitor application behavior and model performance.
- Monitor production LLM applications for latency, reliability, errors, token usage, and overall performance.
- Work with vector databases to support semantic search, retrieval, and RAG-based applications.
- Optimize LLM applications for cost, latency, scalability, and throughput.
- Establish monitoring and alerting mechanisms for LLM and AI workloads.
- Troubleshoot production issues related to models, prompts, APIs, retrieval pipelines, and infrastructure.
- Bachelor's degree or equivalent combination of education and experience.