Senior AI/ML Engineer
Strategic Systems International · Lahore, PK
About The Role
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.
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