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Senior AI/ML Engineer

strategic-systems-international
Companystrategic-systems-international
CategoryEngineering
LocationLahore
RemoteOn-site (inferred)
EmploymentFull-time
LevelSenior
SalaryNot stated by the employer
Posted31 Jul 2026
Last verified9 Aug 2026
SourceEmployer ATS (breezy)
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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.