Full Stack Engineer

6 days ago


Lahore, Punjab, Pakistan Assembly Talent Full time

Job Title: Full Stack Engineer - AI Applications

Compensation Starts at $4,200/month

About Assembly Industries:

Talent is distributed but Opportunities are not - Assembly Industries is breaking that pattern by building an AI enabled talent platform that connects top-tier, highly skilled global professionals with innovative companies across the US. As a fast-growing startup, we are laser-focused on impactful growth, agile strategies, and exceptional results.

Role Overview:

We are seeking a Full Stack Engineer focused on AI applications to join our team in building cutting-edge, intelligent software experiences. This role requires someone with a strong product mindset and deep technical expertise across both frontend and backend systems, with a particular focus on leveraging large language models (LLMs) and other foundational models to deliver real value.

Required Experience:

  • Strong understanding of LLM-based application architectures and current trends in AI software development
  • Experience using foundational models (OpenAI, Claude, Gemini, etc.) across multiple modalities
  • Comfortable building and debugging both backend systems (Java, Python) and frontend applications (React, TypeScript)
  • Familiarity with agentic system architectures, including how to manage memory, state, and planning within LLM-powered agents
  • Understanding of best practices for LLM safety, prompting, and performance
  • Bonus: Experience with orchestration platforms or designing internal LLM tooling and capabilities
Required Skills:
  • Build and maintain full stack features using Java (backend APIs) and React/TypeScript (frontend), with integration into LLM-based workflows using Python
  • Design and implement robust architectures for LLM-based applications, with an emphasis on retrieval-augmented generation (RAG), agentic workflows, and multi-modal use cases (text, audio, video)
  • Integrate and experiment with foundational models for chat, audio, video, and other modalities
  • Work with model abstraction and chaining libraries (e.g., LangChain or similar frameworks)
  • Implement and optimize RAG pipelines including document loaders, chunking strategies, embedding models, and vector database integrations (e.g., Pinecone, Weaviate, FAISS)
  • Contribute to the design and implementation of agentic applications, including decision trees, stateful interactions, and orchestration strategies
  • Collaborate cross-functionally with product, design, and other engineering teams to prototype and productionize AI-driven features
  • Ensure the system is scalable, testable, and well-documented

This is a remote role open for candidates based in Pakistan.

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