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Job Title


Senior Python Engineer | LLM & Generative AI Architect


Company : Right Hire Consulting Services


Location : Ahmedabad, Gujarat


Created : 2025-12-18


Job Type : Full Time


Job Description

Job Title:Senior Python Engineer | LLM & Generative AI Architect Experience:6+ Years (Mandatory) Location:Ahmedabad, India Work Mode:On-site Shift Timing:2:00 PM – 11:00 PM IST Employment Type:Full-time Core Focus:Production LLMs, Generative AI, RAG Systems, Fine-tuning, ML PipelinesRole Overview We are hiring aSenior Python Engineer – LLM & Generative AI Architectto lead the design, development, and deployment ofproduction-grade Generative AI solutions . This role is strictly for engineers who havemoved beyond PoCs and prototypesand have real experience buildingscalable, reliable LLM systemssuch asRAG pipelines, fine-tuned models, and AI-powered APIs .You will play a key role in transforming business problems intohigh-performance, cost-optimized AI systemsrunning in real-world environments.Key Responsibilities Design, implement, and optimizeLLM-based and Generative AI solutionsfor production use Architect and leadRetrieval-Augmented Generation (RAG)systems for context-aware applications PerformLLM fine-tuning, calibration, and prompt optimizationto improve accuracy, latency, and cost efficiency Build and manageend-to-end ML pipelines , including data ingestion, embeddings generation, and vector indexing Work withvector databasesto enable fast and reliable semantic search Integrate deployed AI models into existing platforms throughscalable and secure APIs Collaborate with engineering and product teams to ensure smooth production rollout and maintenanceRequired 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 TensorFlowfor model training and inference Practical experience withHugging Face Transformersecosystem Hands-on expertise withLangChain or LlamaIndexfor LLM orchestration Experience working withVector Databasessuch as Pinecone, Weaviate, or Milvus Solid understanding ofembeddings, semantic search, and RAG pipelines Working knowledge of MLOps , including model deployment, monitoring, and lifecycle management in cloud environments