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Open nowPosted 9 hours ago

Senior AI/ML Engineer

Strategic Systems International9 open roles

Where
Lahore, Pakistan
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Your applicationOpen nowSenior AI/ML EngineerStrategic Systems International · Lahore, Pakistan

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Strategic Systems International postings stay open a median of 11 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 9 hours ago

Strategic Systems International median: 11 days open

The posting

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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