Artificial Intelligence Engineer
3 weeks ago
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. - 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 to enable long-term, goal-driven agent behavior. - Natural Language Interfaces Connect LLMs (e.g., OpenAI, Anthropic) and NLU/NLP layers to enable 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 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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