Added
15 days ago
Type
Full time
Salary
Salary not provided

Related skills

cloud aws python apis mlops

πŸ“‹ Description

  • Architect and develop autonomous AI systems across text, image, audio, and video
  • Design agentic workflows with prompts, RAG, APIs, and data
  • Fine-tune and deploy LLMs and multi-modal models for scalable low-latency AI
  • Build scalable MLOps pipelines and cloud-native AI apps for production deployments
  • Collaborate with clients and cross-functional teams to shape AI strategy
  • Work across the full AI engineering lifecycle in enterprise environments

🎯 Requirements

  • Bachelor's degree or higher in CS, AI, Eng, or related STEM
  • Hands-on experience deploying LLMs and multimodal AI in production
  • Strong Python backend, API design, and distributed systems
  • Knowledge of MLOps, observability, CI/CD, cloud deployment
  • Excellent communication and stakeholder management in agile

🎁 Benefits

  • Core Benefits: discretionary bonus, pension, health, life, and critical illness
  • Mental Health: CareFirst, Unmind, Aviva, and in-house first aiders
  • Family Friendly: maternity, adoption, shared parental leave, paid leave
  • Family Care: 8 backup care sessions for emergency childcare or elder care
  • Holiday Flexibility: 5 weeks annual leave with option to buy or sell
  • Continuous Learning: 40 hours of training annually plus coaching
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