Software Engineer

Coach bot & AI Features<\/b><\/span><\/span><\/span><\/span>
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• Link pre\-programme data (application forms, participant surveys) with platform data to give the coach bot a complete, contextual view of each participant \- reducing repetitive data collection and enabling personalized coaching from day one<\/span><\/span><\/span><\/span>
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• Build and iterate on coach bot features, including prompt engineering, conversation design, and AI\-powered personalization of nudges, content, and scheduling<\/span><\/span><\/span><\/span>
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• Integrate LLM capabilities (RAG, fine\-tuning, or AI\-powered features) into AMI's learning platform to improve coaching quality and participant outcomes<\/span><\/span><\/span><\/span>
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  <\/span><\/span><\/span><\/span>Learning Platform & Content Delivery<\/b><\/span><\/span><\/span><\/span><\/p>

  • Develop and maintain features on AMI's learning platform serving entrepreneurs, company employees, and young people across AMI's program portfolio<\/span><\/span><\/span><\/span>
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  • Create internal tools to design and run experiments across digital services \- testing variables such as content type, delivery schedule, and participant nudges \- and surface clear insights to product and program teams<\/span><\/span><\/span><\/span>
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  • Work closely with the Learning and Content teams to translate program requirements into robust, scalable technical solutions<\/span><\/span><\/span><\/span>
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    Data Infrastructure & Engineering<\/b><\/span><\/span><\/span><\/span>
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    • Design and maintain data pipelines integrating diverse sources \- application forms, surveys, platform events, and third\-party tools \- into a unified, reliable data layer<\/span><\/span><\/span><\/span>
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    • Instrument AMI's platform to support rigorous measurement of program effectiveness, enabling data\-driven improvement across services<\/span><\/span><\/span><\/span>
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    • Propose, design, and run experiments with clear hypotheses and measurable outcomes, producing actionable product recommendations from the results.<\/span><\/span><\/span><\/span>
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      Requirements<\/h3>

      • Bachelor's degree in Computer Science, Software Engineering, or a related field \- or equivalent practical experience<\/span><\/span><\/span><\/span>
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      • 7+ years of professional software engineering experience at a tech or product\-driven company<\/span><\/span><\/span><\/span>
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      • Experience with AI/ML systems, data pipelines, or learning technology is a strong asset<\/span><\/span><\/span><\/span>
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      • Experience in or with the social sector, ed\-tech, or emerging markets is valued but not required<\/span><\/span><\/span><\/span>
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      • Proficient in TypeScript, React, and Python <\/span><\/span><\/span><\/span>
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      • Experience with relational databases (PostgreSQL or MySQL) and cloud platforms (AWS, GCP, or Azure)<\/span><\/span><\/span><\/span>
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      • Strong data engineering skills \- integrating diverse sources and building reliable pipelines<\/span><\/span><\/span><\/span>
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      • Hands\-on experience with LLMs \- RAG, prompt engineering, fine\-tuning, or AI\-powered product features<\/span><\/span><\/span><\/span>
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      • Able to design and run rigorous experiments using SQL, Python, or R, and translate results into clear product recommendations<\/span><\/span><\/span><\/span>
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      • Clear communicator who works comfortably with non\-technical colleagues across program, content, and leadership teams<\/span><\/span><\/span><\/span>
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      • Proactive and ownership\-driven \- identifies problems, takes initiative, and follows through without waiting to be directed<\/span><\/span><\/span><\/span>
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        Benefits<\/h3>

        Why join us<\/span><\/span><\/b><\/span><\/span>
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        • A high\-impact, diverse and ambitious team with common values: <\/span><\/span><\/span><\/span>
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          • Be the best: We work really hard, are proud of what we do, and love delighting our clients with quality.<\/span><\/span><\/span><\/span>
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          • Own it: We step up to the task, never pass the buck and hold ourselves accountable for delivering results.<\/span><\/span><\/span><\/span>
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          • Push the limits: We ask why, embrace failure and try new things. We never settle.<\/span><\/span><\/span><\/span>
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          • Do what\u2019s right: We act with integrity, confront dishonesty, treat people fairly and strive to contribute to the greater good<\/span><\/span><\/span><\/span>
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          • Always care: We don\u2019t have ego \u2013 it\u2019s always \u2018team before me\u2019. We are kind, we celebrate each other\u2019s success, and we care enough to give honest feedback.<\/span><\/span><\/span><\/span>
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          • A dynamic office & team life:<\/span><\/span><\/span><\/span>
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            • Brand new offices in Westlands, Nairobi<\/span><\/span><\/span><\/span>
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            • Monthly team social events and yearly offsite<\/span><\/span><\/span><\/span>
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            • Regular learning and coaching opportunities<\/span><\/span><\/span><\/span>
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            • A hybrid working model.<\/span><\/span><\/span><\/span>
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