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Smartedge solution
AI

AI Engineer

Smartedge solution · London, ENG, GB

Actively hiring Posted 4 months ago

The Role:

As an Artificial Intelligence Engineer, you will bring deep expertise in full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business value.

Your Responsibilities:

  • Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines.
  • AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions.
  • Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack.
  • Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions.
  • Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment.
  • Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions.

**Your Profile

Essential skills/knowledge/experience:**

  • Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
  • Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation.
  • Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph).
  • Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).
  • Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services.
  • Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.
  • Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS).
  • Proven experience in full stack development and AI/ML system implementation within enterprise environments.
  • Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design.
  • Excellent communication and stakeholder management skills.
  • Experience working on client proposals and leading technical presentations.

Job Types: Full-time, Permanent

Pay: £46,039.36-£125,212.53 per year

Work Location: Hybrid remote in London

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Fulltime Remote Ai Ai Engineer Machine Learning
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