Python Developer

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 (030 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