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.
Technical Requirements
Expert Python Engineering: Production-grade, asynchronous Python (Fast API/Pydantic) with a focus on performance and scalability.
Agentic
Frameworks & Reasoning: Hands-on experience with Lang Graph, DSPy, or Lang Chain. Must understand state management, agent loops, and reliable tool-calling.
Experience with evaluations is a significant bonus.
Knowledge
Graphs & Ontologies: Experience building or working with ontologies.
Advanced Memory Management: Implementation of "long-term memory" using vector databases and schemas to maintain context over long horizons. RAG & LLMs: Experience with RAG optimization (reranking, query transformation) and/or fine-tuning LLMs for domain-specific reasoning.
Experience with GCP is preferred- Understands Secure SDLC practices
Core Competencies
Quick learner with high agency.
A "product engineer" mindset.
Comfort with ambiguity and a sense of extreme ownership.
Experience working in a rapid paced workplace.
📌 Back End Developer Python, Ai Hyderabad (India)
🏢 JobCrexa
📍 India
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