The Senior Applied AI Engineer will play a critical role in shaping Turaco’s AI-driven future, building intelligent systems that improve internal operations and deliver better outcomes for our customers and partners. This role sits within our “Service Center” team, supporting the operations and growth of multiple country offices.<\/p>\n
You will partner with teams across technology, insurance operations, call center, partnerships, and business development to identify high-impact AI opportunities, ship production-grade solutions, and champion a culture of responsible, pragmatic AI use across the organization.<\/p>\n
Key Roles & Responsibilities:<\/p>\n
\tDesign, develop, and deploy AI\/ML solutions that address real operational and customer-facing problems \u2014 from NLP and predictive models to LLM-powered workflows and intelligent automation.
\n\tTranslate business requirements into well-scoped AI projects with clear success metrics, timelines, and tradeoffs.
\n\tOwn the full ML lifecycle: data exploration, model development, evaluation, deployment, and monitoring.
\n\tBuild and maintain robust data pipelines and infrastructure to support model training and inference at scale.
\n\tLead and mentor a team of engineers, fostering growth through code reviews, pair programming, and knowledge-sharing.
\n\tCollaborate with operations and product teams to embed AI capabilities directly into workflows and products.
\n\tEvaluate and integrate third-party AI tools, APIs, and foundation models (e.g. LLMs) where they offer clear value.
\n\tCreate clear technical documentation for both technical and non-technical audiences.
\n\tProactively monitor deployed models for drift, degradation, and bias, and implement corrective measures.<\/p>\n
Key Qualifications & Your Profile<\/p>\n
\t\u200b\u200bLives Turaco’s values – pushing boundaries, working with excellence, and a profound respect for the individual.
\n\t7+ years of professional software experience, with at least 3 years in applied AI\/ML roles in production environments.
\n\tStartup or entrepreneurial experience is highly desirable – you are comfortable with ambiguity and moving fast.
\n\tDemonstrated strong programming skills in\u00a0at least two\u00a0of these languages: Java, Python, Go, or JavaScript; experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
\n\tHands-on experience with LLMs and generative AI – prompt engineering, fine-tuning, Reinforcement Learning (RL), RAG architectures, or building LLM-powered applications.
\n\tSolid understanding of classical ML: supervised\/unsupervised learning, model evaluation, and feature engineering.
\n\tExperience with data infrastructure – SQL\/NoSQL databases, data pipelines, and cloud platforms (AWS, GCP, or Azure).
\n\tFamiliarity with MLOps practices: experiment tracking, model versioning, CI\/CD for ML, and monitoring in production.
\n\tStrong communication skills, able to translate complex AI concepts clearly for non-technical stakeholders.
\n\tBachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field; strong academic track record preferred.
\n\tA creative, first-principles thinker who can identify where AI creates genuine value – and where it doesn’t.
\n\tExcellent team player with strong organizational and leadership skills<\/p>\n
Apply Through:<\/p>\n
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