Senior Python Engineer | LLM & Generative AI Architect

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Role Overview

Senior Python Engineer – LLM & Generative AI Architect

moved beyond PoCs and prototypes

high-performance, cost-optimized AI systems

Key Responsibilities

• Design, implement, and optimize

  LLM-based and Generative AI solutions

  for production use
• Architect and lead

  Retrieval-Augmented Generation (RAG)

  systems for context-aware applications
• Perform

  LLM fine-tuning, calibration, and prompt optimization

  to improve accuracy, latency, and cost efficiency
• Build and manage

  end-to-end ML pipelines

  , including data ingestion, embeddings generation, and vector indexing
• Work with

  vector databases

  to enable fast and reliable semantic search
• Integrate deployed AI models into existing platforms through

  scalable and secure APIs

• Collaborate with engineering and product teams to ensure smooth production rollout and maintenance

Required Technical Skills & Experience

• 6+ years of production-level Python development

• Strong hands-on experience with Large Language Models (LLMs) and Generative AI systems

• Proficiency in PyTorch or TensorFlow

  for model training and inference
• Practical experience with

  Hugging Face Transformers

  ecosystem
• Hands-on expertise with

  LangChain or LlamaIndex

  for LLM orchestration
• Experience working with

  Vector Databases

  such as Pinecone, Weaviate, or Milvus
• Solid understanding of

  embeddings, semantic search, and RAG pipelines

• Working knowledge of MLOps

  , including model deployment, monitoring, and lifecycle management in cloud environments