Able · 7 hours ago

Applied AI Engineer

Remote, LatAm

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

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Information TechnologyProfessional Services

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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Full-stack developmentAI applications developmentGenAI/LLM solutionsPrompt engineeringModel fine-tuningJavaScriptTypeScriptPythonReactNextJSNestJSDjangoFlaskNLPCNNsRNNsTransformersLangChainHugging FaceCrewAITensorFlowPyTorchPandasNumPyScikit-learnAWS BedrockVertex AIAzure OpenAILarge-scale data modelsAgentic workflows

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.