On-site: Surat

Experience: 4+ years of experienceYou will work closely with a highly team-oriented team to build AI-native systems leveraging LLMs, contextual memory, tool orchestration, and autonomous workflows, going beyond traditional ML pipelines.

Key Responsibilities

AI Agent System Development

- Design and implement agent-oriented systems supporting task decomposition, memory handling, and contextual planning.
- Build agents capable of autonomous reasoning and goal-driven execution.

Framework Engineering

- Develop and enhance our in-house AI Agent Framework with reusable components such as tools, memory modules, and orchestration logic.
- Ensure modularity, extensibility, and performance.

Contextual Intelligence

- Implement vector search, semantic retrieval, and long-term memory systems.
- Enable persistent, context-aware, and goal-oriented agent behavior.

Natural Language Interfaces

- Integrate LLMs (e.g., OpenAI, Anthropic) with NLP/NLU layers.
- Enable natural task inputs, reasoning chains, and autonomous decision-making.

API Engineering

- Design and develop RESTful APIs using FastAPI, Flask, or Django .
- Expose agent capabilities and integrate with internal and external systems.

System Architecture

- Architect scalable, event-driven,



microservice-based systems optimized for AI-native workloads.
- Ensure reliability, observability, and performance at scale.

Ethical AI

- Build responsible AI systems with a strong focus on safety, transparency, privacy, and user trust .

Required Skills & Qualifications

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence , or a related field.
- Strong software engineering skills in Python (3.x) .
- Solid understanding of async programming, system design, and type safety .

AI / LLM Experience

- Hands-on experience with LLMs for reasoning, prompt engineering, chaining, or agent-based systems

Frameworks & Tools

- Web frameworks :FastAPI, Flask, or Django :

- Agent frameworks: LangChain, LlamaIndex , or similar

- Vector databases :FAISS, Weaviate, Pinecone :

- Data & messaging: PostgreSQL, Redis, Celery, RabbitMQ

Version Control & Testing

- Proficient with Git workflows :

- Experience writing tests using Pytest or similar frameworks

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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📌 Ai Engineer (Surat)
🏢 atologist infotech
📍 Surat