Temus - AI Engineering Lead
Requirements
• Leading AI/ML solutions from POC through production and commercialisation. • Practical hands-on experience with LLMs and agentic tooling: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR. • Experience with prompt engineering, fine-tuning, evaluation frameworks, and responsible AI tooling. • Architecting cloud-native AI and data platforms across AWS, Azure or GCP. • Leading cross-functional teams across AI, software, data, DevOps and architecture. • Modern software architecture, microservices, Kubernetes and CI/CD. • Deploying AI solutions in complex enterprise or public-sector environments. • Staying hands-on enough to guide engineering teams through difficult technical problems. • Strong communication and interpersonal skills to collaborate effectively with stakeholders, business users, vendors, and team members. • Active engagement in the AI community taking and giving courses, following podcasts, reading books, attending meetups, and developing projects. • Familiarity with agentic coding tools such as Claude Code, Cursor and Google Antigravity. • Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity. • We see the diversity of our team as a strategic advantage, and we work actively to maintain it. • By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/
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