- Location
- Lahore, PK
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 3+ years
- Source
- Breezy HR
Description
PURPOSE:
We are seeking a highly motivated GenAI / LLM Engineer with 3+ years of experience to design, develop, and optimize cutting-edge generative AI solutions. The ideal candidate will have hands-on experience building end-to-end GenAI systems, including LLM-based applications, prompt engineering pipelines, RAG architectures, and multi-step autonomous agent workflows. This role requires strong problem-solving skills, practical experience with modern AI frameworks, and the ability to integrate APIs, vector databases, and external tools to build scalable and reliable AI systems.
QUALIFICATIONS, SKILLS, AND EXPERIENCE:
- 3+ years of experience in AI/ML development or related software engineering roles.
- Hands-on experience building at least one end-to-end GenAI or LLM-based project.
- Experience with LangChain / LangGraph / LLM orchestration frameworks.
- Understanding of LLMs, prompt engineering, RAG architectures.
- Familiarity with REST APIs and microservices.
- Basic knowledge of ML fundamentals (supervised/unsupervised learning).
- Strong logical reasoning and debugging capabilities.
- Ability to break down complex problems into structured solutions.
KEY RESPONSIBILITIES:
- GenAI Solution Development: Design, develop, and optimize GenAI solutions using LLMs (OpenAI, Claude, open-source models, etc.).
- Prompt Engineering & Optimization: Build and fine-tune prompt engineering pipelines
- RAG System Development: Develop RAG (Retrieval-Augmented Generation) systems
- Agent Workflow Architecture: Design and implement multi-step agent workflows using frameworks like LangChain, LangGraph, or similar
- Autonomous Agent Development: Build autonomous agents capable of tool usage, reasoning, and decision-making
- API & Tool Integration: Integrate APIs, vector databases, and external tools into agent pipelines
- Performance Optimization & Debugging: Debug and optimize agent behavior for reliability and scalability
- Machine Learning Model Development: Develop and deploy ML models where required
- Data Processing & Feature Engineering: Perform data preprocessing, feature engineering, and dataset validation
- Embeddings & Vector Database Management: Work with embeddings, vector databases (Milvus, Pinecone, Weaviate, etc.)
A Culture of Belonging: At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.
