Python Developer
2 days ago
Python Developer 346
Key Responsibilities
- Design and develop scalable Python-based solutions integrating GenAI and LLMs to improve development productivity.
- Build and integrate REST/GraphQL APIs to connect LLMs with enterprise systems.
- Develop, refine, and implement prompt engineering techniques to optimize LLM performance and accuracy.
- Perform data preprocessing and create high-quality embeddings to support AI/ML pipelines.
- Evaluate LLM performance for accuracy, latency, and cost, and recommend optimizations.
- Support fine-tuning and model customization to align with specific enterprise requirements.
- Work with vector databases to enable efficient semantic search and data retrieval.
- Ensure compliance with AI safety, security, and ethical considerations, including hallucination mitigation, bias detection, and data privacy.
Primary Skills
- Python Development: Strong programming skills for building production-ready applications.
- LLM Experience: Practical experience with LLMs (e.g., GPT, Claude, Mistral), including integration, tuning, and evaluation.
- Prompt Engineering: Expertise in prompt design and optimization strategies.
- API Development: Experience with REST and GraphQL APIs.
- Data Engineering: Proficiency in data preprocessing, manipulation, and transformation for AI use cases.
Secondary Skills
- Embeddings & Vector Search: Knowledge of creating and using embeddings for search or recommendation systems.
- Model Fine-tuning: Experience customizing and fine-tuning open-source or proprietary LLMs.
- Performance Evaluation: Ability to measure and optimize LLM performance (latency, accuracy, and cost).
- Vector Databases: Familiarity with FAISS, Pinecone, Weaviate, or similar tools.
Good-to-Have Skills
- AI/ML Compliance: Understanding of AI safety, security, and governance frameworks.
- Cloud Platforms: Exposure to deploying AI solutions on AWS, GCP, or Azure.
- DevOps Practices: Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes).
- Visualization Tools: Ability to present data and model insights using dashboards (e.g., Streamlit, Dash).
Experience
- Immediate joiners preferred (0–30 days notice).
- Proven hands-on experience in Python development, AI/ML pipelines, and LLM integration.
Must-Haves
- Python
- Artificial Intelligence / Machine Learning
- Prompt Engineering
- REST API
Skills: pipelines,search,prompt,skills,data,rest,python,ml,vector,tuning
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