Artificial Intelligence Engineer

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 of

  3 YEARS

  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