Senior Data Integration Engineer – AI

Experience & Technical Expertise:

○ Good to have experience in developing AI agents or bots that autonomously interact with

various tools and systems to derive and act upon business insights.

○ Good to have experience in integrating Large Language Models (LLMs) such as OpenAI's

GPT series, Google's Gemini, or Anthropic's Claude with external APIs, vector databases,

and enterprise platforms to automate workflows and enhance decision-making

processes.

○ Basic understanding of prompt engineering, context management, and the orchestration

of multi-step tasks using AI-driven solutions.

○ Experience in designing and building integration solutions, ideally within Sales or

Customer Success domains.

○ Strong expertise in developing integrations using REST and SOAP APIs, with at least 2

years of experience in JSON and XML schema design. (must have)

○ Proficient in JavaScript/Python for data processing within integration projects.

○ Familiar with various authentication mechanisms such as OAuth 2.0, SAML2, and JWT

Bearer Tokens.

○ Hands-on experience with cloud applications like Salesforce, HubSpot, NetSuite,

Zendesk, Gong, Gainsight, and similar platforms.

○ Basic knowledge of SQL, Snowflake stored procedures, AWS S3, along with a clear

understanding of integration design patterns.

○ Basic knowledge on Agent SDKs and Model context protocol.