AI Engineer

InterSources, Inc.

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong programming skills in Python or equivalent (Go/Node.js is a plus)
  • Experience developing autonomous agents and agentic workflows using frameworks like LangChain or AutoGen
  • Hands-on experience with Cursor AI for development and agent orchestration
  • Proven track record of building and consuming RESTful APIs
  • Proficiency in Retrieval-Augmented Generation (RAG) architectures, including vector stores like FAISS or Pinecone
  • Experience in prompt engineering and multi-agent collaboration setups
  • Solid understanding of LLMs and their fine-tuning strategies

Responsibilities

  • Design, develop, and optimize AI agents capable of reasoning and decision-making
  • Implement and fine-tune RAG pipelines for contextual knowledge integration
  • Develop, integrate, and manage agentic workflows across APIs and third-party tools
  • Leverage Cursor AI to prototype and deploy agent-based applications
  • Collaborate with product teams to implement AI-driven features
  • Build scalable APIs for model access and service orchestration
  • Stay updated with the latest developments in LLMs and AI tooling

Benefits

  • Flexible working hours
  • Opportunity for remote work
  • Access to the latest AI tools and technologies
  • Collaborative team environment
  • Professional development opportunities
Full Job Description
Job Summary:
We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows, and platforms such as Cursor AI. The ideal candidate will have a strong developer mindset and expertise in integrating APIs and building intelligent systems that can reason, act, and interact across tools and data sources.

Key Responsibilities:
  • Design, develop, and optimize AI agents capable of reasoning, decision-making, and tool usage
  • Implement and fine-tune RAG pipelines for contextual knowledge integration
  • Develop, integrate, and manage agentic workflows across APIs, vector stores, and third-party tools
  • Leverage Cursor AI and similar platforms to prototype and deploy agent-based applications
  • Collaborate with product teams to implement AI-driven features with seamless developer experience
  • Build scalable APIs for model access, integration, and service orchestration
  • Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling


Required Skills & Qualifications:
  • Strong programming skills in Python or equivalent (Go/Node.js is a plus)
  • Experience in developing autonomous agents and agentic workflows using frameworks like LangChain, AutoGen, or similar
  • Hands-on with Cursor AI for development, debugging, and agent orchestration
  • Experience building and consuming RESTful APIs
  • Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning
  • Experience with prompt engineering, tool calling, and multi-agent collaboration setups
  • Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks

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