AI LLM Engineer (Only LATAM)
Posted
Summary
Remote LLM engineer who designs, builds, and deploys AI/LLM-powered features into production — prompt pipelines, RAG with vector databases, model fine-tuning, and API/backend integration. Core stack: Python, OpenAI/open-source LLMs, vector DBs (Pinecone/Weaviate/FAISS), and cloud platforms (AWS/GCP/Azure).
This is a remote position.
We are looking for an experienced AI LLM Engineer to design and build scalable solutions powered by large language models. You will play a key role in integrating AI into real-world applications, working across backend systems, APIs, and data pipelines.
What You’ll Do
- Design, develop, and deploy LLM-powered features
- Build and optimize prompt pipelines and evaluation frameworks
- Fine-tune models and improve performance, latency, and cost
- Work with embeddings, vector databases, and retrieval systems (RAG)
- Integrate AI capabilities into production systems and APIs
- Collaborate with product and engineering teams to ship features fast
Requirements
Requirements
- Strong experience with LLMs (OpenAI, open-source models, etc.)
- Proficiency in Python
- Experience with prompt engineering and LLM evaluation techniques
- Familiarity with vector databases (Pinecone, Weaviate, FAISS, etc.)
- Experience building scalable systems (AWS, GCP, or Azure)
- Solid understanding of APIs and backend architecture
Nice to Have
- Experience with fine-tuning and model optimization
- Knowledge of LangChain, LlamaIndex, or similar frameworks
- Background in NLP or machine learning
- Experience with streaming, real-time systems, or agents
Benefits
- Competitive compensation
- Remote-first environment
- Flexible schedule
- Opportunity to work on cutting-edge AI products