Ai Engineer Surat (India)

In office: 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 solid focus on safety, transparency, privacy, and user trust. Required Skills & Qualifications Bachelors or Masters 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, o .