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Note: This is a remote work position.
Responsibilities
As an AI Software Engineers you will be required to:
Python Skills (Required)
Responsibilities
As an AI Software Engineers you will be required to:
- Identify opportunities where AI can add value and enhance user experiences including providing AI tools for app designer to perform AI tasks in their app.
- Develop AI features aligned with the overall product and business strategy.
- Design, develop and train machine learning models and algorithms that power AI features.
- Ensure data quality, integrity, and compliance with privacy regulations.
- Design, code, test and deploy features for our products.
- Conduct R&D and have fun with POCs.
- Support users and customers in solving issues faced when using our products.
- Document and contribute learning materials to help users and customers.
Python Skills (Required)
- Hands-on experience with Large Foundation Models (LFMs) (e.g., GPT, BERT, Whisper)
- Familiarity with Retrieval-Augmented Generation (RAG) frameworks
- Proficiency in FastAPI for building scalable applications
- Experience with databases like MongoDB and PostgreSQL
- Knowledge of vector databases and retrieval systems (e.g., Pinecone, Elasticsearch, Weaviate, Milvus)
- Experience with fine-tuning for AI models (e.g., Torch, Hugging Face, Sentence Transformers)
- Familiarity with OpenAI, Anthropic, or other LLM APIs
- Knowledge of prompt engineering
- Experience with embedding models and fine-tuning
- Understanding of evaluation metrics and model performance optimization
- Experience with Docker and containerization
- Familiarity with Git and version control
- Knowledge of MLflow or similar ML experiment tracking tools
- Experience with model deployment and serving (e.g., BentoML, TorchServe, vLLM)
- Understanding of CI/CD pipelines for ML applications
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of model monitoring and observability tools
- Understanding of cost optimization for AI/ML deployments
- Familiarity with API security best practices
- Experience with streaming data processing
- Knowledge of data privacy and ethical AI principles
- Java knowledge is a plus
- Strong communication skills and ability to explain technical concepts
Note: This is a remote work position.
Responsibilities
As an AI Software Engineers you will be required to:
Python Skills (Required)
Responsibilities
As an AI Software Engineers you will be required to:
- Identify opportunities where AI can add value and enhance user experiences including providing AI tools for app designer to perform AI tasks in their app.
- Develop AI features aligned with the overall product and business strategy.
- Design, develop and train machine learning models and algorithms that power AI features.
- Ensure data quality, integrity, and compliance with privacy regulations.
- Design, code, test and deploy features for our products.
- Conduct R&D and have fun with POCs.
- Support users and customers in solving issues faced when using our products.
- Document and contribute learning materials to help users and customers.
Python Skills (Required)
- Hands-on experience with Large Foundation Models (LFMs) (e.g., GPT, BERT, Whisper)
- Familiarity with Retrieval-Augmented Generation (RAG) frameworks
- Proficiency in FastAPI for building scalable applications
- Experience with databases like MongoDB and PostgreSQL
- Knowledge of vector databases and retrieval systems (e.g., Pinecone, Elasticsearch, Weaviate, Milvus)
- Experience with fine-tuning for AI models (e.g., Torch, Hugging Face, Sentence Transformers)
- Familiarity with OpenAI, Anthropic, or other LLM APIs
- Knowledge of prompt engineering
- Experience with embedding models and fine-tuning
- Understanding of evaluation metrics and model performance optimization
- Experience with Docker and containerization
- Familiarity with Git and version control
- Knowledge of MLflow or similar ML experiment tracking tools
- Experience with model deployment and serving (e.g., BentoML, TorchServe, vLLM)
- Understanding of CI/CD pipelines for ML applications
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of model monitoring and observability tools
- Understanding of cost optimization for AI/ML deployments
- Familiarity with API security best practices
- Experience with streaming data processing
- Knowledge of data privacy and ethical AI principles
- Java knowledge is a plus
- Strong communication skills and ability to explain technical concepts