GenAI Applications Engineer (RAG & LLM)

Systems Limited; Islamabad; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Systems Limited is building GenAI-powered applications, including copilot experiences and enterprise search, with robust RAG pipelines and embedding strategies. You will fine-tune models and implement production-grade prompts, while integrating multiple LLM APIs and ensuring scalable, cost-aware performance.

You will collaborate with architects, data scientists, and QA to translate client requirements into concrete GenAI features, document design decisions, and optimize latency and cost across

Qualifications

• 4–8 yrs software engineering with GenAI experience
• 1–3 yrs hands-on GenAI/LLM application building
• Strong Python and orchestration frameworks
• Experience with vector stores and embeddings
• Model fine-tuning (LoRA/QLoRA) experience
• Experience integrating OpenAI/Azure/AWS/Vertex endpoints
• Ability to explain tradeoffs to stakeholders
• Collaborative with architects, data scientists, QA

Responsibilities

• Build GenAI applications — LLM-powered features, copilot/chat experiences, enterprise search
• Design and implement RAG pipelines: chunking, embeddings, hybrid retrieval, re-ranking, GraphRAG
• Fine-tune/adapt models (LoRA/QLoRA) when prompt engineering fails
• Engineer/version production prompts; manage prompt/context in app layer
• Integrate LLM APIs with auth, rate limits, cost controls
• Instrument apps for evaluation — logging, quality scoring, feedback loops
• Optimize latency/cost via caching, batching, routing
• Translate client requirements into GenAI feature specs
• Communicate tradeoffs to non-technical stakeholders
• Collaborate with Agentic AI Architect and Data Scientists
• Document architecture and prompt design for handoff/maintainability

Skills

Python

LangChain

LlamaIndex

Vector databases

Neo4j

LoRA/QLoRA

LLM integration

API design

LLMOps tooling

Tools

LangChain

LlamaIndex

Pinecone

Weaviate

pgvector

Neo4j

Azure AI Foundry

AWS Bedrock

Google Vertex AI

Weights & Biases

LangSmith

Job description

Systems Limited is building GenAI-powered applications, including copilot experiences and enterprise search, with robust RAG pipelines and embedding strategies. You will fine-tune models and implement production-grade prompts, while integrating multiple LLM APIs and ensuring scalable, cost-aware performance.

You will collaborate with architects, data scientists, and QA to translate client requirements into concrete GenAI features, document design decisions, and optimize latency and cost across