Able · 11 hours ago
Applied AI Engineer
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Comp. & Benefits
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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
Qualification
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Required
10+ years of full-stack development experience with JavaScript, TypeScript, Python (React, NextJS, NestJS, Django, Flask) with 5+ years of experience deploying ML models and AI services in production environments.
Demonstrated expertise in Building GenAI/LLM solutions, including RAG architectures
Prompt engineering and model fine-tuning
Traditional ML approaches (NLP, CNNs, RNNs, Transformers)
Modern LLM architectures
Strong technical proficiency with GenAI frameworks - LangChain, Hugging Face, CrewAI
ML frameworks - TensorFlow, PyTorch
Data processing - Pandas, NumPy, Scikit-learn
Cloud AI services - AWS Bedrock, Vertex AI, Azure OpenAI
Excellent English communication skills with experience leading technical presentations.
Preferred
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
Company
Able
Able is a product engineering company that combines world class human talent with cutting-edge AI tools to create software more efficiently.
Funding
Current Stage
Growth StageRecent News
2024-10-16
2024-10-16
Business Journals
2024-06-05
Company data provided by crunchbase