Role summary
Navan is looking for an AI Integration Engineer to build and maintain AI-powered integrations and agents for their Business Technology team. This mid-level role primarily uses Workato and Python, with exposure to LLM platforms like OpenAI and Gemini. Responsibilities include integrating business systems, developing AI agents for data enrichment and monitoring, creating tools for LLMs, and applying ETL and data modeling techniques. The role also involves writing SQL for analysis and debugging, productionizing proofs-of-concept, and documenting integrations. A strong understanding of APIs, data flows, and at least one major SaaS system is required.
Navan is seeking an AI Integration Engineer to join our Business Technology team. You will focus on building and maintaining AI powered integrations and agents on top of our internal business systems, primarily using Workato and Python, with exposure to leading LLM platforms (OpenAI, Anthropic, Gemini, etc.). This is a mid-level, hands on engineering role with room to grow into more ownership over time.
What You’ll Do
Build and maintain integrations between business systems (Salesforce, Gong, Snowflake, Slack, NetSuite, etc.) using Workato and Python
Implement AI agents that:
Enrich prospect and customer data from call transcripts and product usage
Monitor deal health across the open pipeline and surface risk
Track competitive mentions and correlate them with outcomes
Develop MCP-style tools/connectors that safely expose business-system data and actions to LLMs
Integrate with REST and SOAP APIs using JSON/XML, including tool-calling interfaces for agents
Apply ETL techniques and data modeling approaches to design AI-ready and analytics-ready data flows
Write SQL scripts to analyze datasets, debug pipelines, and evaluate agent performance
Productionize POCs from platforms like Gemini Enterprise, OpenAI, and Anthropic into reliable workflows
Document integrations, agents, and data contracts for reuse and maintenance
Must Have
3–5 years of experience working with an integration platform (Workato strongly preferred if multiple platforms)
2+ years of experience with an object-oriented language (Python preferred)
Experience integrating with REST & SOAP APIs using JSON/XML documents
Experience with ETL techniques and data modeling approaches
Experience writing SQL scripts to analyze datasets and troubleshoot issues
Experience with at least one major SaaS business system (e.g., Salesforce, NetSuite, or similar)
Fluency in the English language
Nice to Have
Hands-on experience with LLM / AI platforms (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
Experience building tools/agents that call external APIs or implement function-calling / MCP-style patterns
Knowledge of data objects and APIs for Salesforce, Gong, Snowflake, Marketo, and/or Slack
Familiarity with GTM / RevOps concepts (pipeline, forecast, win/loss, competitive intel)
Interest in growing into a role with more design and ownership over AI and integration architecture
