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Senior AI/ML Engineer

Strategic Systems International · Lahore, PK

External listingfull-time17 days ago

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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