Matillion

Senior AI Engineer – Low Code

Matillion

full-time

Posted on:

Location Type: Hybrid

Location: Hyderabad • India

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Job Level

Senior

Tech Stack

GraphQLJavaScriptPython

About the role

  • Join the IT and Security team to design, deploy, and iterate production-grade autonomous agents using low-code orchestration platforms
  • Build multi-step AI agents in platforms like Relevance.ai, Make.com or Langflow that autonomously perform research, data extraction, and decision-making
  • Design agent workflows that anticipate failure modes and include error handling, retry logic, and human escalation paths
  • Connect AI "brains" to business tools (CRM, Slack, email, databases) via APIs, webhooks, and MCP protocols
  • Develop, version-control, and iterate complex system prompts to ensure output consistency across production workloads
  • Build Retrieval-Augmented Generation (RAG) pipelines that connect agents to internal knowledge bases (docs, wikis, databases)
  • Partner with business process owners (Sales, Marketing, Ops) to translate workflows from plain-language descriptions into executable agent logic
  • Monitor agent performance, analyze logs, and iterate based on real-world performance data

Requirements

  • 3-5 years building low-code automations and applications (e.g., Zapier, Make.com, n8n, Power Automate, or similar)
  • Hands-on experience with LLM orchestration platforms (Relevance.ai, Langflow, LangChain, or equivalent)
  • Demonstrated ability to design and deploy API integrations (REST, GraphQL, webhooks)
  • Working knowledge of LLM behavior, including prompt engineering techniques, token management, and hallucination mitigation
  • Experience building Retrieval-Augmented Generation (RAG) workflows or vector database integrations (Pinecone, Weaviate, ChromaDB, etc.)
  • Systems thinking: Ability to map business processes, identify bottlenecks, and design automated workflows that account for edge cases
  • Trial-test-iterate mindset: Comfortable shipping MVPs, monitoring performance, and iterating based on data
  • Experience with Model Context Protocol (MCP) or similar agent-to-tool communication frameworks
  • Familiarity with Python or JavaScript for custom function/API development
  • Previous work in data engineering, analytics, or business intelligence roles
  • Understanding of GDPR and data handling compliance in AI systems
  • Collaborative: Works effectively in teams and autonomously; shares knowledge openly and supports peers
  • Communicates Courageously: Challenges bad requirements tactfully; explains technical trade-offs to non-technical stakeholders in plain language
  • Passionate: Genuinely excited by AI's potential to solve problems (but realistic about its limitations)
  • Honorable & Caring: Takes responsibility for agent failures; considers ethical implications of automation on teams
  • Authentic: Admits when they don't know something; asks for help when stuck
  • Outcome-focused: Measures success by business results, not lines of code or number of agents shipped
Benefits
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
low-code automationAPI integrationprompt engineeringRetrieval-Augmented Generation (RAG)data extractionerror handlingtoken managementversion controlPythonJavaScript
Soft Skills
systems thinkingtrial-test-iterate mindsetcollaborativecommunicates courageouslypassionatehonorable & caringauthenticoutcome-focused