Enterprise AI Solutions Architect

7 days ago

Jodhpur, Rajasthan, India beBeeEngineering Full time ₹ 18,00,000 - ₹ 30,00,000
Senior AI Engineering Role

We are seeking a highly skilled Senior AI Engineer to join our team. The successful candidate will have expertise in building enterprise production-grade AI solutions and be able to design, develop, and optimize Large Language Model (LLM) pipelines using LangGraph and other orchestration tools.

This role involves implementing scalable Retrieval Augmented Generator (RAG) architectures to integrate internal and external knowledge bases, working with knowledge graphs to structure, enrich, and query data efficiently for LLM consumption, and building and maintaining Answer Machine Agent (AMA)-style agents capable of answering complex domain-specific queries.

The ideal candidate will have strong proficiency in Python, hands-on experience in LangChain, LangGraph, or similar frameworks, and solid understanding of RAG pipelines, vector stores, and prompt engineering.

We are looking for an engineer who is passionate about Generative AI and has experience working with LLMs such as OpenAI GPT, Gemini. If you are interested in this challenging role, please apply with your resume and a cover letter outlining your relevant skills and experience.

Key Responsibilities:

  • Design, develop, and optimize Large Language Model (LLM) pipelines using LangGraph and other orchestration tools.
  • Implement scalable Retrieval Augmented Generator (RAG) architectures to integrate internal and external knowledge bases.
  • Work with knowledge graphs to structure, enrich, and query data efficiently for LLM consumption.
  • Build and maintain Answer Machine Agent (AMA)-style agents capable of answering complex domain-specific queries.
  • Fine-tune or prompt-engineer LLMs for performance, alignment, and reliability.
  • Collaborate with MLOps and infrastructure teams to deploy models and pipelines in production.
  • Continuously evaluate model performance and iterate based on feedback and metrics.

Requirements:

  • 5+ years of experience in applied machine learning, preferably with LLMs or Natural Language Processing (NLP).
  • Strong proficiency in Python, with hands-on experience in LangChain, LangGraph, or similar frameworks.
  • Solid understanding of RAG pipelines, vector stores, and prompt engineering.
  • Experience working with knowledge graphs.
  • Familiarity with LLMs such as OpenAI GPT, Gemini.

About Us:

We are a cutting-edge technology company disrupting the SaaS landscape with our GenAI technology. Our mission is to build an AI-CRO (brain of the sales org) and drive actions & results across the go-to-market organization.

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