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