
AI Engineer – Mid/Senior
Runtalent
full-time
Posted on:
Location Type: Remote
Location: Brazil
Visit company websiteExplore more
Job Level
About the role
- Design, develop, and optimize RAG pipelines, including: data ingestion, chunking, embedding generation, and information retrieval (retrieval)
- Integrate and orchestrate Large Language Models (LLMs) using frameworks such as: LangChain, LlamaIndex
- Develop and manage vector database infrastructures, such as: Pinecone, ChromaDB, FAISS, pgvector, Weaviate
- Build model evaluation frameworks, considering: accuracy, latency, groundedness, and execution cost
- Apply prompt engineering techniques to reduce model hallucinations and improve response quality
- Develop Agentic AI solutions with control mechanisms (guardrails), either from scratch or using existing frameworks
- Collaborate with Data Engineers and Full Stack Developers to deliver end-to-end AI applications
- Stay up to date with developments in the Generative AI space, proposing new tools, techniques, and best practices
- Support responsible AI practices, including: bias detection, safe response controls, and handling of sensitive data (PII).
Requirements
- Strong proficiency in Python and SQL
- Solid knowledge in Data Science, Machine Learning, and application development
- Hands-on experience building end-to-end RAG pipelines
- Experience with LLMs, embedding models, and Transformer architectures
- Ability to write production-quality code in Python and JavaScript
- Experience with cloud platforms: Microsoft Azure, AWS, Google Cloud Platform
- Experience with LLM orchestration tools such as: LangChain, LlamaIndex, OpenAI Agents SDK, Semantic Kernel SDK, Pydantic AI SDK
- Knowledge of tokenization techniques, such as: BPE, SentencePiece, tiktoken
- Experience in API development and model serving using FastAPI and Flask
- Experience integrating enterprise data using the Model Context Protocol (MCP).
Benefits
- Remote work
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLData ScienceMachine LearningRAG pipelinesLLMsembedding modelsTransformer architecturesJavaScriptAPI development
Soft Skills
collaborationcommunication