Senior Data Integrations Engineer - AI

Celigo is a modern Integration and Automation Platform (iPaaS) on a mission to simplify how companies integrate, automate, and optimize processes. The Senior Data Integrations Engineer - AI will design, build, and deploy scalable integration solutions and automations, while also developing AI Agents to enhance operational efficiency and drive business growth.

Responsibilities:

• Champion the Celigo product through transformational integrations that enable scalable business growth
• Build AI agents/integrations using Celigo’s integrator.io and frameworks like LangChain and LangGraph, and using best practices in AI SDLC
• Be an advocate for Celigo and show the art of the possible with AI for different stakeholders within Celigo and to Celigo customers/partners/builders
• Design, build, and deliver scalable data pipelines leveraging modern cloud architectures
• Collaborate with business process experts to develop solutions for complex systems and data platforms that drive revenue growth
• Ensure your integrations adhere to engineering best practices, emphasizing data quality, accuracy, operability, and security
• Build and maintain trusted relationships with technical and business teams
• Manage multiple projects concurrently, including operational tasks
• Serve as the owner and final escalation point for your integrations
• Produce clear, accurate technical documentation, develop support processes and procedures, and facilitate smooth hand-offs to peers and other organizational units

Requirements:

• Proven ability to interface with diverse stakeholders across business units and levels, gather requirements, and manage follow-ups
• Demonstrated track record of delivering projects end-to-end with strong accountability
• Thinks like an owner—takes full charge of projects from inception to delivery while keeping Celigo's best interests in mind
• Willingness to work flexible hours to collaborate with India stakeholders effectively
• Excellent written communication skills; experience with data visualization (graphs and plots) is a significant advantage
• Able to quickly learn business processes, understand requirements, and communicate designs that address both technical and business challenges
• Basic knowledge of SQL, Snowflake stored procedures, AWS S3, along with a clear understanding of integration design patterns
• Basic knowledge of Agent SDKs and Model context protocol
• Familiar with various authentication mechanisms such as OAuth 2.0, SAML2, and JWT Bearer Tokens
• A BS/BA in Information Systems, Computer Science, or equivalent practical experience is preferred
• Strong expertise in developing integrations using REST and SOAP APIs, with at least 5+ years of experience in JSON and XML schema design
• 1+ years of experience in building AI solutions using RAG, LangGraph, Web scraping, or any other AI technology
• Proficient in JavaScript/Python for data processing within integration projects
• 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
• Solid understanding of prompt engineering, context management, and the orchestration of multi-step tasks using AI-driven solutions
• Knowledge of system and software engineering architecture principles and best practices is a plus
• Experience supporting business teams and a strong grasp of processes like Quote-to-Cash, Procure-to-Pay, Lead-to-Opportunity, and Hire-to-Retire
• Hands-on experience with cloud applications like Salesforce, HubSpot, NetSuite, Zendesk, Gong, Gainsight, and similar platforms
• Experience in designing and building integration solutions, ideally within Sales or Customer Success domains