AI Engineer
Role details
Job location
Tech stack
Job description
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 Engineering Lead, 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., Location : Remote Department: Web and Systems Salary : £40,000 Hours: 37.5 Contract Type : Permanent Purpose of the role The AI Augmented Software Engineer role will enable a new way of building software as the team moves to an AI-first approach, using tools such as Claude..., Senior AI Engineer The Essentials Location Remote UK, with expectation for attendance in the office for team meetings (approx. every two months) Employment Type Full-Time, Permanent The Opportunity Are you interested in making a difference by developing products used..., Job Summary We are seeking a skilled and dedicated Air Conditioning Engineer to join our team. The successful candidate will be responsible for installing, maintaining, and repairing air conditioning systems across various sites across the UK. This position involves..., Job Title: Lead Electrical Design Engineer Location: Remote Sector: Energy / EV Infrastructure / Renewable Power Type: Permanent Company Overview Our client is a leading developer of advanced energy infrastructure projects, delivering large-scale grid connections,..., Job Title: AQA Lead Examiner Consultant Location: Remote (UK-based preferred) Contract Type: Part-time Consultancy Salary: £50.00 per hour, plus additional payments for essay marking and standardisation sessions. Start date: Immediate Timeline * Interviews: w/c 15...
Requirements
- 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 - 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., Senior Data Scientist SME & AI Architect (10+ Years Experience) We are seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a...