AI Engineer
Lead the design and deployment of autonomous LLM‑based super agents, driving end‑to‑end GenAI solutions on AWS with Python and PyTorch.
Job Title: Principal AI Engineer (LLM Agents & Orchestration)
Team: Chatly Engineering Focus: Building Autonomous "Super Agents" Location: On-Site — H-12, NSTP, Islamabad
About ImagineArt
We're redefining how the world creates and designs.
ImagineArt is one of the fastest-growing GenAI companies in the world. We've scaled faster than most funded startups — with zero outside funding.
$35M+ ARR crossed this year
100M+ social impressions
Built and shipped our own image generation model, now ranked #3 globally for photo realism
No funding. No shortcuts. Just a sharp, driven team building one of the strongest GenAI products in the world — and we're just getting started.
If you want to build something that truly matters, work with exceptionally smart people, and grow at a pace most companies never experience, ImagineArt is the place.
About the Role
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new "Super Agent" within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.
Key Responsibilities
Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct
Integration Ecosystem: Build the "hands" of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably
Latency & Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation)
Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions
Evaluation & Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production
Technical Requirements
Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy)
Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use
Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies
System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts
Why Join ImagineArt
Work on innovative AI products like ImagineArt , shaping the future of creativity and user interaction
Be part of a passionat
Posted June 23, 2026