Artificial Intelligence Engineer

AI Engineer

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