Artificial Intelligence Engineer

As an AI Engineer at Atologist Infotech, you will be contributing to the shaping and scaling of the AI Agent Framework. Your primary focus will involve developing intelligent and modular agent systems capable of reasoning, planning, and autonomously interacting in real-world scenarios. Working closely with a collaborative team, you will design and implement agent-oriented systems that facilitate task decomposition, memory management, and contextual planning. Additionally, you will extend the in-house AI Agent Framework by incorporating reusable components such as tools, memory modules, and orchestration logic. Your responsibilities will include: - Designing and implementing agent-oriented systems supporting task decomposition, memory handling, and contextual planning. - Extending the in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic. - Building and integrating vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behavior. - Connecting LLMs and NLU/NLP layers for natural task inputs and autonomous reasoning capabilities. - Developing RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products. - Designing scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks. - Prioritizing responsible AI design with user safety, transparency, and privacy at the core. Qualifications required for this role: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field. - Strong software engineering skills in Python (3.x) with expertise in async programming, architecture design, and typing. - Practical experience using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications. - Familiarity with FastAPI, Flask, or Django; LangChain, LlamaIndex, or other agent frameworks; Vector stores (FAISS, Weaviate, Pinecone); PostgreSQL, Redis, and event queues (Celery, RabbitMQ). - Proficient with Git workflows and writing tests using Pytest or similar. Bonus skills that are 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. This full-time, permanent position at Atologist Infotech offers benefits such as leave encashment, paid sick time, paid time off, and Provident Fund. The work schedule is fixed from Monday to Friday.,