Senior Consultant

Primary skill:

GenAI, Python, AI/ML

Role Overview

Member of AI team, designing, implementing, and optimizing GenAI applications for live, real-time deployments. Our projects frequently involve prompt engineering, vector databases, frameworks like LangChain, Langraph, and agentic tools such as AutoGen and Crew. Youll help build production-ready solutions for tasks like text generation, summarization, and Q&A systemsoften within a cloud environment like Azure, AWS and/or GCP.

Responsibility:

• Advanced Python Proficiency: Write clean, efficient, and maintainable Python code for data preprocessing, model training, and integration with production systems.
  • Prompt Engineering: Design, test, and refine prompts to produce optimal AI-driven outputs (chatbots, content generation, etc.). • Retrieval-Augmented Generation (RAG): Implement techniques that combine model outputs with external data sources to improve accuracy in real-world scenarios. • LangChain & Langraph Integration: Leverage these libraries to build modular, scalable AI pipelines for language-based tasks. • Vector Database Management: Work with databases like Pinecone, Faiss, or other vector stores to store embeddings and enable efficient semantic search. • Chunking Techniques: Develop methods to split large documents into manageable sections, ensuring more accurate and efficient retrieval and generation. • Streamlit (or Similar) Prototyping: Create user-facing dashboards or internal tools to visualize and interact with AI functionalities. • Metrics & Performance Tracking: Implement monitoring and logging solutions to track performance metrics (response time, accuracy, user engagement) and identify areas of improvement. • Collaboration & Documentation: Participate in code reviews, maintain thorough documentation, and share best practices with cross-functional teams.