AI Engineer
Role details
Job location
Tech stack
Job description
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., * 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., Lead AI Automation Engineer Check below to see if you have what is needed for this opportunity, and if so, make an application asap. Warrington / Hybrid Up to £75,000 BD Talent has exclusively partnered with one of the most exciting tech start-ups to hit the North..., A leading tech consultancy in Manchester is seeking a Director of Next Generation Engineering to transform their software engineering function into an AI-native, high-performance organization. You will establish vision and standards, leading teams to enhance speed,..., Job Description AI Engineer - Manchester My client, a forward-thinking organisation, is seeking AI Engineers to deliver practical AI solutions that streamline operations and improve business performance. This is an exciting opportunity to work at the forefront of applied..., Job Title: Technical Lead / Staff Software Engineer//Engineering Lead/Technical Director/Chief Engineer Salary: £63,000 - £103,000 Location: Manchester Our client is seeking enthusiastic and proactive individuals to join their growing team. Working in a busy but dynamic..., A leading professional services firm is seeking a Lead AI Architect to join their Insurance practice. You will be responsible for developing AI architecture strategies and implementing scalable solutions for international clients. The ideal candidate should possess..., Job Description Lead Software Engineer - MongoDB / Node.js / JavaScript As a Lead Engineer, you'll play a pivotal role in shaping the technical direction of the product. You'll guide a talented squad of engineers, drive architectural decisions, and deliver scalable... © 2026, Jobsora.com
Requirements
- 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.