Senior software engineer

AMI is looking for a Senior Software Engineer to build, extend, and evolve the technical infrastructure powering AMI’s digital learning platform and coach bot services across Africa. This is a senior role with team leadership responsibilities, working on an established production codebase serving hundreds of thousands of learners.

KEY RESPONSIBILITIES

Learning Platform & Content Delivery

• Build, extend, and evolve AMI’s core learning platform, currently an Elixir/Phoenix umbrella application (LiveView, Ecto, PostgreSQL), serving entrepreneurs, company employees, and young people across AMI’s program portfolio.
• Work across the platform’s web, moderator/admin, and API surfaces, extending existing services and adding new ones as program requirements evolve.
• Work closely with the Learning and Content teams to translate program requirements into robust, scalable technical solutions.
• Create internal tools that let product and program teams design and run experiments across digital services (testing content type, delivery schedule, and participant nudges) and surface clear insights.

Data Infrastructure & Engineering

• Design and maintain data pipelines integrating diverse sources (application forms, surveys, platform events, and third-party tools) into a unified, reliable data layer.
• Instrument the platform to support rigorous measurement of program effectiveness, enabling data-driven improvement across services.
• Propose, design, and run experiments with clear hypotheses and measurable outcomes, translating results into actionable product recommendations.

Coach Bot & AI Features

• 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.
• Contribute to coach bot features (prompt engineering, conversation design, and AI-powered personalization of nudges, content, and scheduling) in collaboration with the coach bot service team.
• Integrate LLM capabilities (RAG, fine-tuning, or AI-powered features) into the learning platform to improve coaching quality and participant outcomes.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 10+ years of professional software engineering experience at a tech or product-driven company, with most of that time in a senior or lead capacity on production systems.
• Technical leadership: has led or mentored other engineers, owned delivery of significant features or systems end-to-end, and set technical direction within a team.
• Elixir and Phoenix: strong hands-on experience including Phoenix LiveView. This role works on an existing production Elixir/Phoenix codebase from day one; a solid full-stack background is expected.
• Solid working experience with PostgreSQL (schema design, query performance, migrations) and comfort with an ORM/query layer (Ecto is the layer used in this codebase).
• Proficient in TypeScript / React for frontend work, and comfortable in Python for data pipelines and coach-bot services.
• AI/LLM familiarity: Hands-on with RAG, prompt engineering, or shipping AI-powered product features. Formal machine-learning-engineering expertise is not required; practical experience integrating AI into a product is.
• Strong data engineering skills: integrating diverse sources and building reliable pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Career track record: longer-term engagements at product- or tech-driven companies, showing ownership across full product life cycles.
• Clear communicator who works comfortably with non-technical colleagues across program, content, and leadership teams.
• Proactive and ownership-driven: identifies problems, takes initiative, and follows through without waiting to be directed.
• Deeper hands-on experience with Elixir/Phoenix, LiveView, and Ecto.
• Background designing and running rigorous experiments using SQL, Python, or R, and translating results into clear product recommendations.
• Experience with background job processing frameworks (e.g. Oban), Phoenix Channels or building multi-tenant SaaS platforms.
• Experience in ed-tech, learning technology, the social sector, or emerging markets.

Benefits

Why join us:

• A high-impact, diverse and ambitious team with common values:
• Be the best: We work really hard, are proud of what we do, and love delighting our clients with quality.
• Own it: We step up to the task, never pass the buck and hold ourselves accountable for delivering results.
• Push the limits: We ask why, embrace failure and try new things. We never settle.
• Do what’s right: We act with integrity, confront dishonesty, treat people fairly and strive to contribute to the greater good.
• Always care: We don’t have ego – it’s always ‘team before me’. We are kind, we celebrate each other’s success, and we care enough to give honest feedback.
• A dynamic office & team life.
• Regular learning and coaching opportunities.
• A hybrid working model.