Artificial Intelligence Engineer

Job Description

Atologist Infotech is 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 behaviour. 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