AI Engineering Lead
9 days ago
Manchester
Location ⢠Remote, but requirement to meet up once a month for in-person collaboration day, ⢠UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations â delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities â voice and chat assistants, intelligent analytics, and predictive insights â and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixiâs AI and ML strategy â from concept and architecture through hands-on prototyping and deployment â to embed intelligence into Akixiâs products and analytics platforms. As the AI Engineering Lead, you will define and execute Akixiâs AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. Youâll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixiâs AI initiatives deliver tangible business and customer outcomes. Key Responsibilities ⢠Lead the definition and delivery of Akixiâs AI strategy and technology roadmap., ⢠Architect scalable AI solutions integrated into Akixiâs SaaS analytics platform., ⢠Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., ⢠Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., ⢠Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., ⢠Collaborate with Product Management to scope AI features and align them with business goals., ⢠Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., ⢠Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., ⢠Establish standards for AI code quality, ethics, and data governance., ⢠Mentor engineers working on AI-related projects, fostering technical excellence and innovation., ⢠Evaluate external AI vendors, tools, and frameworks for adoption or integration., ⢠Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience ⢠7+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., ⢠Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., ⢠Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., ⢠Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., ⢠Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., ⢠Deep understanding of prompt engineering and fine-tuning of large language models., ⢠Strong grounding in ML concepts â supervised, unsupervised, and reinforcement learning., ⢠Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., ⢠Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., ⢠Ability to design data pipelines, APIs, and microservice integrations supporting AI features., ⢠Excellent problem-solving, communication, and cross-team collaboration skills., ⢠Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience ⢠Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., ⢠Knowledge of data governance, model ethics, and MLOps practices., ⢠Exposure to data visualization and predictive analytics for customer-experience metrics., ⢠Advanced degree in AI, ML, Data Science, or related discipline., ⢠ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, youâll play a pivotal role in transforming how businesses understand and act on communication data. Youâll define and deliver the intelligence layer of a platform used by thousands worldwide â in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.