
Transformative AI Engineer Role
17 hours ago
AI Visionary Position
Atologist Infotech seeks a visionary AI engineer to help evolve and scale intelligent agent frameworks.
You will collaborate with a highly collaborative team to develop systems that leverage large language models, contextual memory, and tool integration—delivering AI-native applications.
- Develop AI agent systems that support task decomposition, memory handling, and contextual planning.
- Engineer and extend the in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic.
- Built and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behavior.
- Connect LLMs and NLU/NLP layers to enable natural task inputs and autonomous reasoning capabilities.
- Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks.
- Prioritize responsible AI design with user safety, transparency, and privacy at the core.
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Strong software engineering skills in Python (3.x) with deep understanding of async programming, architecture design, and typing.
- Practical experience using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications.
- Experience with 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)
- Proficient with Git workflows and writing tests using Pytest or similar.
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