We are seeking an experienced Lead AI Engineer with 5+ years of experience to design, develop, and deploy AI-powered solutions using LLMs, Generative AI, RAG, AI Agents, and Machine Learning. The role involves building intelligent applications, integrating AI with enterprise systems, optimising model performance, and delivering scalable, secure, and production-ready AI solutions.
Key Responsibilities:
- Design, develop, and deploy AI-powered applications using LLMs, Generative AI, and Machine Learning.
- Build and maintain RAG systems, AI agents, chatbots, copilots, and intelligent automation solutions.
- Integrate AI models and services with enterprise systems, web applications, databases, APIs, and third-party platforms.
- Evaluate, fine-tune, and optimise AI models for accuracy, performance, reliability, and cost efficiency.
- Develop prompt engineering strategies and testing frameworks to improve AI response quality.
- Design scalable AI architectures using vector databases, knowledge retrieval systems, and agent workflows.
- Implement monitoring, evaluation, and observability mechanisms to ensure AI system quality and reliability.
- Apply AI safety measures, guardrails, security controls, and responsible AI practices.
- Research emerging AI technologies, models, frameworks, and agentic systems to identify new opportunities.
- Develop proof of concepts to validate AI use cases and evaluate commercial and open-source AI tools.
- Establish reusable AI components, engineering standards, and governance practices across projects.
- Collaborate with product managers, designers, QA engineers, and business stakeholders to deliver AI-driven solutions.
- Participate in architecture discussions, code reviews, and technical decision-making.
- Create technical documentation, architecture diagrams, and implementation guidelines.
- Support production deployment, troubleshooting, and continuous optimisation of AI applications.
- Mentor team members and promote AI engineering best practices across projects.
Preferred Experience:
- 5+ years of experience in AI engineering, software development, or related fields.
- Strong knowledge of Python, Machine Learning, Natural Language Processing (NLP), and LLMs.
- Hands-on experience with Generative AI, RAG, Agentic AI, AI Agents, and multi-agent systems.
- Experience with frameworks such as LangChain and LangGraph.
- Familiarity with vector databases, embedding models, and search technologies such as Elasticsearch.
- Experience with fine-tuning, model adaptation, prompt engineering, and AI evaluation.
- Knowledge of AI safety, guardrails, and responsible AI practices.
- Experience with microservices architecture, serverless architectures, and enterprise system integrations.
- Familiarity with PostgreSQL, TypeScript/JavaScript, and MLOps practices is an advantage.
- Strong problem-solving, communication, collaboration, and technical leadership skills.
If you are passionate about building intelligent AI applications, exploring emerging technologies, and leading the development of reliable, production-ready AI solutions, we would love to connect.
Interested candidates are requested to share their updated resume at hr@cleffex.com.