At a Glance
- Tasks: Lead AI strategy and develop innovative AI solutions for our analytics platform.
- Company: Join Akixi, a leader in SaaS analytics for cloud communication.
- Benefits: Enjoy remote work flexibility, competitive salary, and a collaborative culture.
- Why this job: Make a real impact by shaping AI capabilities used by thousands globally.
- Qualifications: 4+ years in software engineering with strong AI/ML expertise.
- Other info: Opportunity for career growth and mentorship in a dynamic environment.
The predicted salary is between 48000 - 84000 £ 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 Lead 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 (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or 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 (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI).
- Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS).
- Ability to design data pipelines, APIs, and microservice integrations supporting AI features.
- Excellent problem-solving, communication, and cross-team collaboration skills.
- Strong stakeholder management skills, with the ability to communicate complex AI concepts clearly to technical and non-technical audiences, including senior leadership.
- Proven ability to provide technical leadership across AI initiatives.
- Demonstrated experience leading and mentoring a small team while remaining hands-on in design and coding.
Desirable Skills & Experience:
- Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. 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.
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.
Lead AI Engineer in Basildon employer: Akixi
Contact Detail:
Akixi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in Basildon
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect 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 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 concepts and be ready to discuss your past experiences. Practice explaining complex ideas in simple terms — it’s key to impress both technical and non-technical interviewers.
✨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 at Akixi. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead AI Engineer in Basildon
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI/ML and how it aligns with our vision at Akixi. We want to see how your skills can drive our AI strategy forward!
Showcase Your Projects: Include specific examples of AI projects you've worked on, especially those involving chatbots or ML models. We love seeing hands-on experience, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your technical skills and experiences, as we appreciate clarity in communication.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Akixi
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and ML, especially those relevant to SaaS analytics. Be ready to discuss your experience with chatbots, voice assistants, and any frameworks like TensorFlow or PyTorch that you've used. This will show that you're not just familiar with the tech but also passionate about it.
✨Showcase Your Leadership Skills
As a Lead AI Engineer, you'll need to demonstrate your ability to lead and mentor others. Prepare examples of how you've guided teams in past projects, particularly in AI initiatives. Highlight your experience in collaborating with cross-functional teams to align AI features with business goals.
✨Prepare for Technical Questions
Expect deep technical questions about AI architecture, model tuning, and deployment strategies. Brush up on your knowledge of prompt engineering and be ready to explain complex concepts in simple terms. This will help you connect with both technical and non-technical interviewers.
✨Align with Akixi's Vision
Research Akixi’s products and their current AI capabilities. Think about how you can contribute to their vision of embedding intelligence into their analytics platform. Be prepared to share your ideas on potential AI-driven features that could enhance customer experience and business performance.