Artificial Intelligence Engineer
3 days ago
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
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