Applied Ai Engineer

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Able

πŸ“Remote

Job highlights

Summary

Join Able, a rapidly growing technology company, as a Senior Applied AI Engineer. You will design, develop, and deploy cutting-edge AI applications, focusing on LLMs and Gen AI. This role requires 10+ years of full-stack development experience and 5+ years deploying ML models in production. You will work with clients, lead technical discussions, and foster team growth. The position is 100% remote within LatAm and requires excellent English communication skills. Able offers a collaborative and inclusive work environment.

Requirements

  • 10+ years of full-stack development experience with JavaScript, TypeScript, Python (React, NextJS, NestJS, Django, Flask)
  • 5+ years of experience deploying ML models and AI services in production environments
  • Demonstrated expertise in Building GenAI/LLM solutions, including RAG architectures
  • Demonstrated expertise in Prompt engineering and model fine-tuning
  • Demonstrated expertise in Traditional ML approaches (NLP, CNNs, RNNs, Transformers)
  • Demonstrated expertise in Modern LLM architectures
  • Strong technical proficiency with GenAI frameworks - LangChain, Hugging Face, CrewAI
  • Strong technical proficiency with ML frameworks - TensorFlow, PyTorch
  • Strong technical proficiency with Data processing - Pandas, NumPy, Scikit-learn
  • Strong technical proficiency with Cloud AI services - AWS Bedrock, Vertex AI, Azure OpenAI
  • Excellent English communication skills with experience leading technical presentations
  • Strong verbal and written communication skills in English

Responsibilities

  • Design and implement production-grade AI applications focusing on LLMs and Gen AI
  • Develop and optimize RAG pipelines through prompt engineering and model fine-tuning
  • Monitor, evaluate, and improve AI application performance to maintain high reliability
  • Partner with clients to identify opportunities for AI-driven business transformation
  • Lead technical discussions and architect scalable AI solutions
  • Foster team growth through knowledge sharing and training on emerging AI technologies

Preferred Qualifications

  • Master's degree in Computer Science, Artificial Intelligence or a related field, with a strong focus on AI and Machine Learning
  • Background in managing large-scale data models
  • Experience with agentic workflows

Benefits

100% remote within LatAm

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