Senior AI/ML Engineer (AI)

TL;DR

Senior AI/ML Engineer (AI): Acting as the core data and machine learning authority during client engagements, you will propose advanced AI architectures and data pipelines. Focus on building and optimizing complex RAG architectures, multi-agent systems, and semantic search capabilities.

Location: Remote / Latin America

Company

hirify.global is a global software engineering powerhouse dedicated to solving complex digital challenges.

What you will do

• Consult with clients to assess their data readiness and recommend optimal ML approaches.
• Build and optimize complex RAG architectures, multi-agent systems, and semantic search capabilities.
• Design data ingestion, chunking, and embedding pipelines to feed intelligence into the applications.
• Handle model selection, parameter-efficient fine-tuning, and deployment configuration.
• Ensure ongoing model scalability, reliability, and robust monitoring in production environments.
• Proactively identify and implement strategies to optimize both the computational performance and operational costs of AI systems.

Requirements

• 5+ years of professional Machine Learning or Data Engineering experience, featuring deep expertise and strong coding skills in Python.
• Production experience with ML frameworks (PyTorch, TensorFlow) and comprehensive knowledge of LLM ecosystems (OpenAI, Hugging Face Transformers, LangChain).
• Hands-on experience building and deploying RAG pipelines and managing Vector Databases (Pinecone, Milvus, Weaviate, Qdrant, or pgvector).
• Experience with cloud platforms (AWS, GCP, Azure).
• Knowledge of data engineering tools (such as Apache Airflow and Spark).
• Understanding of MLOps and collaborative development, including model versioning, monitoring, GitHub, and CI/CD practices.

Nice to have

• Experience with open-source model deployment (Llama 3, Mistral) and fine-tuning techniques.
• Familiarity with managed cloud AI services (AWS SageMaker, Vertex AI, or Azure AI).

Culture & Benefits

• Engineering excellence.
• Transparent communication.
• Passion for pushing the boundaries of what is possible in the AI landscape.