Senior Generative AI Engineer

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WIT

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2001

📡 Telecommunications

☁️ SaaS

💳 Fintech

Telecommunications • SaaS • Fintech

WIT is a software company that develops products and projects primarily for the telecommunications industry. With 20+ years of experience and deployments in 40+ countries, WIT focuses on voice, video and messaging over IP, mobile money and mobile commerce, IPTV/OTT, enterprise communications, and secure cloud-based telecom systems. Their specialties include mobile apps, IPTV/OTT, payment/mobile money systems, SMS/USSD and messaging gateways, 5G IP voice & video, IoT integrations, DApps/Web3, and telco value-added services.

📋 Description

• Design, develop and maintain scalable backend services for AI-powered applications. • Design and implement production-ready Generative AI solutions using Large Language Models (LLMs). • Design, optimize and evaluate Retrieval-Augmented Generation (RAG) or tool-based pipelines and AI orchestration workflows, including chunking strategy, hybrid retrieval and reranking, and retrieval-quality evaluation. • Design scalable APIs, distributed systems and vector search solutions. • Evaluate, integrate and optimize foundation models for different use cases. • Optimize AI systems for performance, scalability and reliability. • Collaborate with cross-functional teams to define technical solutions and product evolution. • Contribute to software architecture, technical documentation and engineering best practices. • Research and evaluate emerging AI technologies. • Lead design reviews, define engineering standards and mentor engineers on Generative AI best practices.

🎯 Requirements

• Degree in Computer Science, Software Engineering or a related field. • 5+ years of professional experience in software development. • 2+ years of hands-on experience designing and building Generative AI applications using Large Language Models (LLMs). • Hands-on experience with speech and multimodal models, including speech-to-text (STT), text-to-speech (TTS), speech-to-speech and vision-capable LLMs that process images. • Proficiency using and building applications on top of these models, including real-time (streaming) and Completions/Responses APIs, tool calling, model deployment and model evaluation. • Strong experience with scalable backend systems and distributed architectures. • Strong proficiency in Python, including asynchronous and concurrent programming for I/O-bound LLM workloads. • Solid understanding of software engineering best practices, including design patterns, testing and CI/CD. • Experience with RESTful APIs, microservices and event-driven architectures. • Experience building production-ready AI applications. • Experience defining and applying structured evaluation methodologies for LLM and RAG systems (for example, retrieval and generation quality metrics). • Knowledge of cloud-native architectures, containerization and orchestration technologies. • Understanding of responsible AI and security practices, including data privacy, prompt-injection defense and safe handling of model outputs. • Strong analytical, problem-solving and communication skills. • Above all, strong product intuition and a sharp sense for user experience, with the ability to build AI solutions that feel intuitive and reliable for end users. • Fluent in English.

🏖️ Benefits

• Competitive compensation package • Environment conducive to personal and professional growth