Applied Ai Engineer
Able
πRemote
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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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