On-site: Surat

Experience: 4+ years of experienceYou will work closely with a highly cooperative 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 robust 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.
Solid 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, o

📌 Ai Engineer Surat
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📍 Surat