We are looking for an engineer to help scale our backend infrastructure and deepen our agentic capabilities. This individual will not just be wrapping APIs; they will be building the memory layers, RAG pipelines, and ontological structures that allow our AI to serve as a true co-pilot for logistics specialists.
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Technical Requirements
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Expert Python Engineering: Production-grade, asynchronous Python (FastAPI/Pydantic) with a focus on performance and scalability.
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Agentic Frameworks & Reasoning: Hands-on experience with LangGraph, DSPy, or LangChain. Must understand state management, agent loops, and reliable tool-calling. Experience with evaluations is a significant bonus.
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Knowledge Graphs & Ontologies: Experience building or working with ontologies.
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Advanced Memory Management: Implementation of "long-term memory" using vector databases and schemas to maintain context over long horizons.
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RAG & LLMs: Experience with RAG optimization (reranking, query transformation) and/or fine-tuning LLMs for domain-specific reasoning.
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Experience with GCP is preferred
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Understands Secure SDLC practices
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Core Competencies
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Quick learner with high agency.
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A "product engineer" mindset.
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Comfort with ambiguity and a sense of extreme ownership.
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Experience working in a rapid paced setting.
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📌 Backend Engineer Python Ai Hyderabad (India)
🏢 RiVi Consulting Group
📍 India
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