Celigo
About this role
This role sits on Celigo's Global Technology Operations team, building the integrations and automations that run Celigo's own business rather than shipping product to customers. The AI content is substantial and specific: developing agents and bots that interact autonomously with tools and systems, and integrating large language models including OpenAI GPT, Google Gemini and Anthropic Claude with external APIs, vector databases and enterprise platforms. Alongside that sits classic integration engineering, building data pipelines on modern cloud architectures and owning integrations end to end as the final escalation point. Five years designing integration solutions is the stated bar, ideally in sales or customer success domains. Hyderabad.
Who this is for
What the posting asks for:
- At least 5 years designing and building integration solutions, ideally within sales or customer success domains.
- At least 2 years of experience with JSON and XML schema design.
- Strong expertise developing integrations using REST and SOAP APIs.
- Proven experience developing AI agents or bots that autonomously interact with tools and systems to derive and act on business insights.
- Expertise integrating large language models such as OpenAI's GPT series, Google's Gemini or Anthropic's Claude with external APIs, vector databases and enterprise platforms.
- Strong understanding of prompt engineering, context management and orchestration of multi step tasks.
- Proficiency with enterprise iPaaS platforms including Celigo and comparable tools such as SnapLogic.
Day to day: designing and delivering scalable data pipelines on modern cloud architectures; building automations with integrator.io to remove repetitive work; contributing to AI chatbots for internal stakeholders; ensuring integrations meet engineering standards for data quality, accuracy, operability and security; managing several projects at once including operational tasks; acting as owner and final escalation point for your integrations; and producing technical documentation and support processes.
Who you would serve: the posting says this team supports business and finance teams by connecting systems and data. This is internal platform work, not customer facing product engineering.
Location and office reality: Hyderabad. No office day policy is published.
Honest fit guidance: be clear that this is internal business systems integration with a real AI component, not product development. If that distinction matters to you, weigh it before applying. The LLM and agent requirements are specific enough that generic integration experience alone will not clear them.
- At least 5 years designing and building integration solutions, ideally within sales or customer success domains.
- At least 2 years of experience with JSON and XML schema design.
- Strong expertise developing integrations using REST and SOAP APIs.
- Proven experience developing AI agents or bots that autonomously interact with tools and systems to derive and act on business insights.
- Expertise integrating large language models such as OpenAI's GPT series, Google's Gemini or Anthropic's Claude with external APIs, vector databases and enterprise platforms.
- Strong understanding of prompt engineering, context management and orchestration of multi step tasks.
- Proficiency with enterprise iPaaS platforms including Celigo and comparable tools such as SnapLogic.
Day to day: designing and delivering scalable data pipelines on modern cloud architectures; building automations with integrator.io to remove repetitive work; contributing to AI chatbots for internal stakeholders; ensuring integrations meet engineering standards for data quality, accuracy, operability and security; managing several projects at once including operational tasks; acting as owner and final escalation point for your integrations; and producing technical documentation and support processes.
Who you would serve: the posting says this team supports business and finance teams by connecting systems and data. This is internal platform work, not customer facing product engineering.
Location and office reality: Hyderabad. No office day policy is published.
Honest fit guidance: be clear that this is internal business systems integration with a real AI component, not product development. If that distinction matters to you, weigh it before applying. The LLM and agent requirements are specific enough that generic integration experience alone will not clear them.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.