AI Integration Engineer

Responsibilities:
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, emphasising data quality, accuracy, operability, and security.
Contribute to the development of AI chatbots for internal stakeholders.
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 organisational units.
Requirements:
Have experience in developing AI agents or bots that autonomously interact with various tools and systems to derive and act upon business insights.
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.
Understanding of prompt engineering, context management, and the orchestration of multi-step tasks using AI-driven solutions.
Strong expertise in developing integrations using REST and SOAP APIs, with at least 2 years of experience in JSON and XML schema design.
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 of Agent SDKs and Model context protocol.
Able to quickly learn business processes, understand requirements, and communicate designs that address both technical and business challenges.
Excellent written communication skills; experience with data visualisation (graphs and plots) is a significant advantage.
Proven ability to interface with diverse stakeholders across various business units and levels, gathering requirements and managing follow-ups.
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 effectively collaborate with US stakeholders.
Knowledge of system and software engineering architecture principles and best practices is a plus.
Experience in designing and building integration solutions, ideally within Sales or Customer Success domains.
Overall experience of 3-5 years.
Experience supporting business teams and a strong grasp of processes like Quote-to-Cash, Procure-to-Pay, Lead-to-Opportunity, and Hire-to-Retire.
Demonstrated track record of delivering projects end-to-end with strong accountability.
A BS/BA in Information Systems, Computer Science, or equivalent practical experience is preferred.

Experience
3-7 yrs