
Intelligent Systems Developer
7 days ago
We are seeking a skilled AI Engineer to develop and implement intelligent systems that can reason, plan, and interact autonomously in real-world applications.
This role focuses on building scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks.
Key Responsibilities:
- Agent System Development: Design and implement agent-oriented systems supporting task decomposition, memory handling, and contextual planning.
- Framework Engineering: Develop and extend our in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic.
- Contextual Intelligence: Build and integrate vector search, semantic retrieval, and memory systems for long-term, goal-driven agent behavior.
- Natural Language Interfaces: Connect LLMs (e.g., OpenAI, Anthropic) and NLU/NLP layers for natural task inputs and autonomous reasoning capabilities.
- API Engineering: Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products.
- System Architecture: Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks.
- Ethical AI: Prioritize responsible AI design with user safety, transparency, and privacy at the core.
Required Skills & Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Python Proficiency: Strong software engineering skills in Python (3.x) with deep understanding of async programming, architecture design, and typing.
- AI/LLM Experience: Practical experience of 3 YEARS using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications.
- Frameworks & Tools: FastAPI, Flask, or Django LangChain, LlamaIndex, or other agent frameworks Vector stores (e.g., FAISS, Weaviate, Pinecone) PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ)
- Version Control & Testing: Proficient with Git workflows and writing tests using Pytest or similar.
Bonus Skills (Nice-to-Have):
- Experience with autonomous agents, tool-calling, or memory-driven task systems
- Familiarity with cognitive architectures or symbolic reasoning
- Contributions to open-source AI frameworks or tooling
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