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- Tasks: Lead and develop AI strategies, integrating innovative solutions into our analytics platform.
- Company: Join Akixi, a leader in SaaS analytics for cloud communication platforms.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping AI capabilities that enhance customer experiences globally.
- Qualifications: 4+ years in software engineering with a focus on AI/ML; strong Python skills required.
- Other info: Collaborative culture with monthly in-person meet-ups and excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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 — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights.
Job Summary & Purpose: Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll 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 Akixi’s AI initiatives deliver tangible business and customer outcomes.
Key Responsibilities:
- Lead the definition and delivery of Akixi’s AI strategy and technology roadmap.
- Architect scalable AI solutions integrated into Akixi’s 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:
- 4+ 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 — 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, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — 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.
AI Engineer in Edinburgh employer: Akixi
Contact Detail:
Akixi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and coding challenges. Practice explaining your thought process clearly, as communication is key in tech roles. We want to see how you think, not just what you know!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Akixi. Don’t miss out on the chance to be part of something great!
We think you need these skills to ace AI Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML, especially any hands-on projects or prototypes you've worked on. We want to see how your skills align with our vision at Akixi!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our team. Be sure to mention specific technologies or frameworks you're familiar with that relate to the job description.
Showcase Your Projects: If you've got any relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially in AI-driven solutions like chatbots or predictive models.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the Akixi team!
How to prepare for a job interview at Akixi
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, and have examples of projects where you've integrated AI solutions. This will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Akixi is looking for someone who can lead technically while being hands-on, so highlight instances where you've successfully solved complex problems using AI technologies.
✨Understand Their Business
Do your homework on Akixi and their SaaS analytics solutions. Familiarise yourself with their products and how AI can enhance customer experience and business performance. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Be Ready to Collaborate
Since the role involves working closely with various teams, be prepared to discuss your collaboration experiences. Share examples of how you've partnered with product management or data engineering in the past, and emphasise your communication skills to show you can work well in a team environment.
