Senior Backend Developer - Spark AI

taraki-search; Lahore; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Spark AI in Lahore is seeking a Senior Backend Developer with deep Python expertise to build and scale LLM-powered applications.

The role focuses on RAG pipelines, prompt engineering, and integration with OpenAI, LangChain, and Hugging Face, with containerized deployments using Docker and FastAPI.

Qualifications

• Experience with 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.

Responsibilities

• 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.

Job description

Our clientSpark AI is looking for Senior Backend DeveloperinLahore.

Job Description:

Role 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 Responsibilities:

• 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.

Requirements:

• 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