Intelligent Systems Engineer

Looking for an experienced and forward-thinking AI Engineer to help shape and scale our AI Agent Framework. This is a hands-on engineering role focused on building intelligent, modular agent systems that can reason, plan, and interact autonomously in real-world applications.

You will work alongside a highly collaborative team to develop systems that leverage LLMs, contextual memory, and tool integration—delivering AI-native applications, not just traditional ML pipelines.

Key Responsibilities

• AI Agent System Development

Design and implement agent-oriented systems that support task decomposition, memory handling, and contextual planning.

Develop and extend our in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic.

Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behavior.

Connect LLMs (e.G., OpenAI, Anthropic) and NLU / NLP layers to enable natural task inputs and autonomous reasoning capabilities.

Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products.

Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks.

Prioritize responsible AI design with user safety, transparency, and privacy at the core.

Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Strong software engineering skills in Python (3.X) with deep understanding of async programming, architecture design, and typing.

Practical experience using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications.

Proficient with Git workflows and writing tests using Pytest or similar.

Bonus Skills (Nice-to-Have)