Principal AI Engineer (LLM Agents & Orchestration)

Job Title: Principal AI Engineer (LLM Agents & Orchestration)
Focus: Building Autonomous "Super Agents"
Location: On-Site — Cemtech, NUST H-12, Islamabad
Team: Chatly Engineering

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.

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.

• 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

• 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

• Work on innovative AI products like ImagineArt, shaping the future of creativity and user interaction

• Be part of a passionate, fast-moving team that values innovation and data-driven decisions

• Competitive compensation and benefits

• A culture where learning, growth, and experimenting with new ideas are deeply encouraged

• Impact: Opportunity to work on innovative AI products like ImagineArt, shaping the future of creativity and user interaction

• Team: Be part of a passionate, fast-moving team that values innovation and data-driven decisions

• Growth: A culture where learning, growth, and experimenting with new ideas are deeply encouraged