AI Engineer

About the job

Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data – and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we’re shaping the future of data engineering with Maia – our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. **Join #TeamGreen**, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. We are now looking for an AI Engineer to join our IT and Security team, based from our Hyderabad, India office. **Role Purpose** Matillion is building an agentic workforce - AI-powered systems that autonomously tackle business problems across sourcing, prospecting, reporting, and operational copilots. This role exists to accelerate our AI adoption by designing, deploying, and iterating production-grade autonomous agents using low-code orchestration platforms. **What you will be doing** • Agent Design & Orchestration • 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. **Prompt Engineering & Reliability** • Develop, version-control, and iterate complex system prompts to ensure output consistency across production workloads • Implement testing frameworks to catch prompt drift and hallucination patterns before they reach production • Document prompt logic and decision trees so non-technical stakeholders can understand agent reasoning. **Data Integration & RAG Workflows** • Build Retrieval-Augmented Generation (RAG) pipelines that connect agents to internal knowledge bases (docs, wikis, databases) • Optimize retrieval logic to surface the right context without overwhelming token limits or introducing noise • Manage vector databases and ensure data freshness across agent memory systems. **Business Process Translation** • Partner with business process owners (Sales, Marketing, Ops) to translate workflows from plain-language descriptions into executable agent logic • Identify where automation adds value vs. where humans should stay in the loop • Challenge requirements that sound good but won't work in production. **Monitoring, Testing & Iteration** • Analyze agent logs to identify failure patterns, logic gaps, and edge cases • Run A/B tests on workflow variations to measure success rate improvements • Iterate on "wiring" (workflow structure) and prompts based on real-world performance data. **Collaboration & Documentation** • Work autonomously on small-to-medium complexity agents; support peers on larger initiatives • Document agent architectures, prompt libraries, and integration patterns for team reuse • Share learnings across the AI Engineering team to accelerate collective capability. **What we are looking for** • Technical / Role-Specific Capabilities **Essential** • 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. **Desirable (Nice-to-Haves)** • 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. **Personal Capabilities (Matillion Values-Aligned)** **Essential:** • 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. At Matillion, we’re here to do something hard - change the way the world works with data, and build a great company along the way.

Requirements

• Low-code automation
• LLM orchestration
• API integrations
• RAG workflows
• Data engineering

Qualifications

• 3-5 years experience
• Experience with LLM orchestration
• Knowledge of APIs

Preferred Technologies

• Low-code automation
• LLM orchestration
• API integrations
• RAG workflows
• Data engineering

Benefits

• Company Equity
• 27 days paid time off
• 12 days of Company Holiday
• 5 days paid volunteering leave
• Group Mediclaim (GMC)
• Enhanced parental leave policies
• MacBook Pro

About the company

Matillion is the intelligent data integration platform, enabling businesses to harness the power of their data through advanced cloud data integration solutions.