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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 that transform business communication.
- Qualifications: 4+ years in software engineering with a focus on AI/ML; strong Python skills required.
- Other info: Collaborative culture with a focus on innovation and career development.
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 Chelmsford 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 Chelmsford
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech scene. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any cool stuff you've built. This is your chance to demonstrate your hands-on experience and creativity, which can really set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each company. Research Akixi’s products and think about how your skills can directly contribute to their AI roadmap. Mention specific projects or technologies they use to show you’re genuinely interested.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. Use this opportunity to reiterate your excitement about the role and how you can help drive Akixi's AI strategy forward. It keeps you fresh in their minds!
We think you need these skills to ace AI Engineer in Chelmsford
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 directly contribute to our AI strategy!
Showcase Your Projects: Include specific examples of AI projects you've worked on, especially those involving chatbots or predictive 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. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role as quickly as possible!
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 projects you've worked on, especially those involving chatbots or predictive models. Highlight your experience with frameworks like TensorFlow or PyTorch, as well as any hands-on work with LLM APIs.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in your previous roles. Think about challenges you've faced while integrating AI solutions and how you overcame them. This will demonstrate your critical thinking and technical prowess, which are key for the AI Engineer role.
✨Collaborate Like a Pro
Since this role involves working closely with various teams, be ready to discuss your collaboration experiences. Share instances where you partnered with product management or data engineering to deliver AI features. This shows that you can communicate effectively and work well in a team setting.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in AI and ML. Be prepared to discuss emerging technologies and how they could benefit Akixi. Showing that you're proactive about learning and adapting will impress the interviewers and align with their innovative culture.
