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2 weeks ago
We seek an expert AI engineer to help build and scale our intelligent agent framework.
This is a hands-on engineering role focused on designing and implementing modular, autonomous systems that can reason, plan, and interact in real-world applications.
The successful candidate will have strong software engineering skills in Python, experience with LLMs for reasoning and prompt engineering, and knowledge of async programming and architecture design.
Key Responsibilities:- 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.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Strong understanding of async programming, architecture design, and typing.
- Practical experience of 3 years using LLMs for reasoning and prompt engineering.
- Experience with Vector stores (e.g., FAISS, Weaviate, Pinecone), PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ)
- Proficient with Git workflows and writing tests using Pytest or similar.
- Experience with cognitive architectures or symbolic reasoning.
- Familiarity with open-source AI frameworks or tooling.
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