Sr. Python Developer at SparkAi

Location:Gulberg 3,LahoreCompany:SparkAiExperience:4 to 5 yearsRole Overview:We are looking for a highly skilled Senior Python Developer with expertise in Generative AI and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience in LLMs, prompt engineering, vector databases, and AI-driven application development.Key ResponsibilitiesFamiliarity with Graph Databases like Neo4jDevelop and optimize LLM-powered applications using Python.Implement Retrieval-Augmented Generation (RAG) pipelines for AI-driven search and content generation.Design and fine-tune prompt engineering strategies for better AI responses.Integrate OpenAI, LangChain, Hugging Face, and other AI frameworks into scalable applications.Optimize ML models and deployments using Docker, FastAPI, Flask, and other frameworks.Collaborate with cross-functional teams to deliver AI-powered solutions.RequirementsExperience in LLMs, OpenAI API, LangChain, Hugging FaceProficiency in RAGUnderstanding of NLP, embeddings, and knowledge graphsFamiliarity with cloud services (AWS, GCP, Azure)Experience in API development (FastAPI, Flask, Django, Rest)Knowledge of MLOps model deployment is a plusPlease fill this formhttps://forms.gle/9d8XndUBqMtoZ5u18 Location:Gulberg 3,Lahore Location: Company:SparkAi Company:

Familiarity with Graph Databases like Neo4jDevelop and optimize LLM-powered applications using Python.Implement Retrieval-Augmented Generation (RAG) pipelines for AI-driven search and content generation.Design and fine-tune prompt engineering strategies for better AI responses.Integrate OpenAI, LangChain, Hugging Face, and other AI frameworks into scalable applications.Optimize ML models and deployments using Docker, FastAPI, Flask, and other frameworks.Collaborate with cross-functional teams to deliver AI-powered solutions. Familiarity with Graph Databases like Neo4j Develop and optimize LLM-powered applications using Python. Implement Retrieval-Augmented Generation (RAG) pipelines for AI-driven search and content generation. Design and fine-tune prompt engineering strategies for better AI responses. Integrate OpenAI, LangChain, Hugging Face, and other AI frameworks into scalable applications. Optimize ML models and deployments using Docker, FastAPI, Flask, and other frameworks. Collaborate with cross-functional teams to deliver AI-powered solutions.

Experience in LLMs, OpenAI API, LangChain, Hugging FaceProficiency in RAGUnderstanding of NLP, embeddings, and knowledge graphsFamiliarity with cloud services (AWS, GCP, Azure)Experience in API development (FastAPI, Flask, Django, Rest)Knowledge of MLOps model deployment is a plus Experience in LLMs, OpenAI API, LangChain, Hugging Face Proficiency in RAG Understanding of NLP, embeddings, and knowledge graphs Familiarity with cloud services (AWS, GCP, Azure) Experience in API development (FastAPI, Flask, Django, Rest) Knowledge of MLOps model deployment is a plus Please fill this form Please fill this form https://forms.gle/9d8XndUBqMtoZ5u18

📊 Experience Required: Mid-Senior level

⭐ Seniority Level: Mid-Senior level

🎯 Job Function: Engineering and Information Technology

See who SparkAi has hired for this role

🏭 Industries: IT Services and IT Consulting

👥 Number of Applicants: 83

📅 Posted Date: December 17, 2025