
Intelligent Systems Engineer
6 days ago
Job Title: Intelligent Systems Engineer
We are seeking a skilled professional to integrate Large Language Models (LLMs) into our ecosystem. This is a hands-on opportunity to help shape the next generation of intelligent, secure, cloud-native applications.
About the Role:
- Become proficient in building Agentic AI systems and LLM integrations.
- Develop context-aware Retrieval-Augmented Generation (RAG) pipelines.
- Work with Vector stores, Embedding models, and Model Context Protocol (MCP).
- Collaborate with our team to design multi-agent architectures and orchestrated workflows.
Requirements:
- 3–8 years of strong backend development experience using Python.
- Deep experience in REST API development, backend microservices, and production-ready codebases.
- Experience working with SQL and understanding data modeling across both SQL and NoSQL systems.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
Expertise in GenAI and LLMs:
You have practical experience with LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.
What We Offer:
This role offers a unique opportunity to work at the forefront of AI innovation. Our team is dedicated to pushing the boundaries of what is possible with Large Language Models.
How to Apply:
Please submit your application with your resume and a cover letter outlining your experience and qualifications.
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