Python with AI Developer
7 days ago
We are looking for an expert-level Python developer with deep expertise in Large Language Models (LLMs) and AI/ML frameworks. The ideal candidate will be skilled in building high-performance applications, fine-tuning AI models, and leveraging modern Python features including async/await for concurrent API integrations. Experience with AWS Bedrock and vector database technologies is essential, with MLOps capabilities considered a strong plus.
Key Responsibilities
- Design, develop, and deploy Python-based applications using Python 3.9+ features such as async/await for concurrent API calls.
- Fine-tune and optimize AI models using PyTorch and TensorFlow.
- Build and integrate applications using LLM libraries and frameworks like FastAPI and LangChain.
- Implement RAG (Retrieval-Augmented Generation) pipelines and manage vector embeddings for efficient knowledge retrieval.
- Work with DynamoDB and vector database solutions for AI-driven search and data processing.
- Develop and manage prompt engineering for LLM-based solutions.
- Integrate and utilize AWS Bedrock for deploying and managing LLM applications.
- Collaborate using GIT workflows and contribute to CI/CD pipelines for continuous delivery.
Required Skills
- Python (must-have): Expert-level coding, concurrency (async/await), API integration.
- AI/ML (must-have): LLM's, RAG implementation, vector embeddings.
- Frameworks: FastAPI, LangChain.
- Model Development: PyTorch, TensorFlow fine-tuning.
- Databases: DynamoDB, vector databases.
- Cloud Services: Understanding of AWS Bedrock.
- Version Control & DevOps: GIT, CI/CD pipeline knowledge.
Good to Have
- MLOps experience for ML lifecycle automation and deployment.
- Prior experience with large-scale production AI systems.
Qualifications
- Bachelors or Master's degree in Computer Science, AI/ML, or related field.
- 5+ years of professional experience in Python development and AI/ML systems.
- Proven track record of deploying LLM-based applications.
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