Artificial Intelligence Engineer

5 days ago

Surat, Gujarat, India Atologist Infotech Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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