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Fresher
Not Disclosed

This job is no longer accepting applications

Job Description

Overview

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 professionals.

Technical Requirements

- Expert Python Engineering: Production-grade, asynchronous Python (FastAPI/Pydantic) with a focus on performance and scalability.

- 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.

- 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 fast paced environment.

More Info

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Key Skills

LangChain

LangGraph

Pydantic

DSPy

RAG optimization

asynchronous Python

tool-calling

query transformation

reranking

vector databases

agent loops

fine-tuning LLMs

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