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- Tasks: Lead AI strategy, develop chatbots, and integrate intelligent analytics into our platform.
- Company: Join Akixi, a leader in SaaS analytics for cloud communication.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping AI solutions used by thousands globally.
- Qualifications: 4+ years in software engineering with strong AI/ML experience required.
- Other info: Collaborative culture that values innovation and technical excellence.
The predicted salary is between 36000 - 60000 £ per year.
We are expanding our platform to include advanced AI capabilities - voice and chat assistants, intelligent analytics, and predictive insights - and are seeking an AI Engineer to define and deliver this vision.
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.
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.
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.
AI Engineer in Slough employer: Akixi's Ai
Contact Detail:
Akixi's Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any cool stuff you've built. 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 and how you approach problem-solving, as this is key for roles like AI Engineer.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Akixi.
We think you need these skills to ace AI Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with our AI Engineer role. Highlight your expertise in AI/ML, Python, and any relevant projects you've worked on. We want to see how you can contribute to our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your background makes you a perfect fit for Akixi. Don’t forget to mention specific technologies or projects that excite you about this role.
Showcase Your Projects: If you've got hands-on experience with AI frameworks or have built chatbots, make sure to include those in your application. We love seeing real examples of your work and how you've tackled challenges in the past.
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 our team!
How to prepare for a job interview at Akixi's Ai
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss specific 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 concepts but have hands-on experience.
✨Showcase Your Prototyping Skills
Prepare to talk about your prototyping experience. Bring examples of chatbots or voice assistants you've developed, and be ready to explain your approach to prompt engineering and model tuning. This will demonstrate your ability to turn ideas into tangible products.
✨Collaboration is Key
Since this role involves working closely with various teams, think of examples where you've successfully collaborated with product management or data engineering. Highlight how you’ve aligned technical solutions with business goals, as this shows you understand the bigger picture.
✨Stay Ahead of Trends
Research the latest trends in AI and ML, especially those relevant to Akixi's products. Be prepared to discuss how you can apply these trends to enhance their analytics platform. This will show your passion for the field and your commitment to continuous learning.
