Senior AI/ML Engineer

Strategic Systems International; Lahore; In loco; PKR 1.800.000 - 2.600.000; Tempo pieno

Descrizione del lavoro

Strategic Systems International in Lahore is looking for a GenAI/LLM Engineer with 3+ years of hands-on experience to design and optimize cutting-edge AI solutions. You will work on end-to-end GenAI systems, from prompt pipelines to RAG architectures, integrating APIs, vector stores, and external tools.

You will collaborate across teams to build scalable, reliable AI systems, implement multi-step autonomous agent workflows, and ensure robust performance and debugging.

Competenze

• 3+ years in AI/ML or software engineering.
• Hands-on experience with end-to-end GenAI/LLM projects.
• Experience with LangChain / LangGraph.
• Understanding of LLMs, prompts, and RAG.
• Familiarity with REST APIs and microservices.
• ML fundamentals knowledge.
• Strong logical reasoning and debugging.

Mansioni

• Design, develop, and optimize GenAI solutions using LLMs.
• Build prompt engineering pipelines and optimization.
• Develop RAG systems.
• Design multi-step agent workflows with LangChain/LangGraph.
• Build autonomous agents capable of tool use and reasoning.
• Integrate APIs, vector databases, and external tools.
• Debug and improve performance for reliability and scalability.
• Develop and deploy ML models where required.
• Data processing and feature engineering.
• Work with embeddings and vector databases.

Conoscenze

GenAI experience

LLM development

Prompt engineering

RAG architectures

API integration

Debugging skills

Problem solving

Strumenti

LangChain

LangGraph

Milvus

Pinecone

Weaviate

REST APIs

Descrizione del lavoro

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.