MAF Group is hiring
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Python & Agentic AI Developer
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We're building Measure&Fix β an AI-powered analytics intelligence platform that connects to enterprise data sources (GA4, BigQuery, ContentSquare, Adobe Analytics, Snowflake, sales force, offline behavioral data [offline owned by MAF from 3 years of research in UK
, UAE AND ASIA], Amplitude and other digital data sources ), automatically analyses data, Β generates testable hypotheses with visual variant designs, and deploys live A/B experiments. Think: single prompt to live experiment on web and mobile. No other product does this.
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We're a Partner with Google cloud [select], Snowflake, Adobe, Tealium, Google and Azure . DMA Gold Award winner. 10+ years delivering AI and data solutions for FTSE 100 businesses.
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What you'll build:
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β Agentic AI workflows using Crew AI that orchestrate multi-step analysis, hypothesis generation, and experiment deployment
β RAG pipelines with vector databases (Pinecone, Weaviate) for intelligent data retrieval and context-aware analysis
β LLM integration layer β prompt engineering, model evaluation, output parsing, and adaptive caching to manage costs at enterprise scale
β Experimentation engine β JavaScript injection for web, Swift/Android SDK integration for mobile A/B test deployment
β Multi-source data connectors for GA4, BigQuery, ContentSquare, Adobe Analytics, Snowflake, and Qualtrics
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What we need:
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β 2+ years Python development (production applications, not just scripts)
β 1.5+ years hands-on with LLMs β building applications, not just using ChatGPT
β Real experience with agentic AI frameworks (Crew AI, LangChain, AutoGen, or similar)
β Ability to read, debug, and improve existing codebases β not just greenfield development
β Understanding of RAG architecture, vector databases, and embedding models
β API development and integration experience
β Strong problem-solving β you figure things out, not wait to be told
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Bonus (not required):
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β Experience with Google Cloud (BigQuery, Dataflow, Cloud Functions)
β JavaScript/TypeScript for web experimentation engine
β Swift or Android development experience
β Prompt engineering and LLM evaluation techniques
β Experience with analytics platforms (GA4, Adobe Analytics, ContentSquare)
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What you get:
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β Work on a product that Google Cloud is actively distributing to enterprise clients
β Build technology that doesn't exist anywhere else β full-loop analytics to experimentation
β Small team, big impact β your code ships to production and reaches enterprise users
β Direct access to the founder β no layers of management
β Be part of building something from early stage with real upside potential
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Location: Hybrid[10%] and Remote [90%] (India)
Type: Full-time
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To apply: Send your CV and a short note on what you've built with LLMs or agentic AI to [[Upgrade to PRO to see contact]]. We don't need a cover letter. We need to see what you've shipped.