AI Engineer
Role details
Job location
Tech stack
Job description
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., * 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., Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver..., Role: Data Architect Location: Remote Rate: £600/ Day (Outside IR35) Start: ASAP Clearance: Active SC Essential We are seeking an experienced Data Architect to join our growing data and AI function. This role is ideal for someone who thrives in complex, secure..., Location:Sheffield (Hybrid) Type:Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and..., A leading technology firm in the UK is seeking a Principal Software Engineer - AI & Innovation to deliver innovative, AI-driven solutions. This role involves building MVPs, leading design and implementation of high-performance systems, and mentoring engineers. The ideal..., Senior AI Engineer Sheffield - 1-2x week in office This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI-driven products that have a direct impact on customer experience,...
Requirements
- 4+ years in software engineering, with at least 2+ 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.
- Proven ability to lead technically while remaining hands-on in design and coding.
Advantageous 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.
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Benefits & conditions
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