GenAI Frontline Engineer: Build Production LLM Apps

Systems Limited; Lahore; On-site; PKR 2,500,000 - 5,500,000; Full time

Job summary

Systems Limited is seeking a seasoned GenAI/LLM software engineer in Lahore to build production-grade GenAI applications, including copilot/chat experiences and enterprise search.

You will design RAG pipelines, fine-tune models (LoRA/QLoRA), and integrate OpenAI, Azure, AWS, and open-source endpoints. You’ll collaborate with data scientists and architects, focusing on reliability and cost control.

Qualifications

• 4–8 yrs software engineering with 1–3 yrs GenAI/LLM app building
• Strong Python; experience with LangChain and LlamaIndex
• Familiar with vector stores (Pinecone/Weaviate/pgvector) and knowledge graphs (Neo4j)
• Understanding of LLM failure modes and mitigation strategies
• Experience with model fine-tuning (LoRA/QLoRA) and evaluation
• Hands-on with enterprise GenAI/agentic platforms (Azure AI Foundry, AWS Bedrock, Vertex AI) and open-source tools

Responsibilities

• Build GenAI applications with LLM-powered features and enterprise search
• Design and implement RAG pipelines including chunking, embeddings, and re-ranking
• Fine-tune and adapt models (LoRA/QLoRA) as needed
• Engineer production prompts and prompt/context management
• Integrate LLM APIs with auth, rate limits, and cost controls
• Instrument apps for evaluation with logging and quality scoring
• Optimize latency and token cost via caching and model routing
• Translate client requirements into concrete GenAI feature specs
• Communicate tradeoffs to non-technical stakeholders
• Collaborate with architects, data scientists, and QA
• Document architecture and prompt design for handoff

Skills

Python

LangChain

LlamaIndex

LLM application building

prompt engineering

Tools

Pinecone

Weaviate

pgvector

Neo4j

Azure AI Foundry

AWS Bedrock

Vertex AI

LangSmith

Weights & Biases

Job description

Systems Limited is seeking a seasoned GenAI/LLM software engineer in Lahore to build production-grade GenAI applications, including copilot/chat experiences and enterprise search.

You will design RAG pipelines, fine-tune models (LoRA/QLoRA), and integrate OpenAI, Azure, AWS, and open-source endpoints. You’ll collaborate with data scientists and architects, focusing on reliability and cost control.