AI Engineer
Tasks
- Build integrations with model context protocol and tool calling
- Collaborate with product engineering and data teams to deliver AI features
- Contribute to AI governance testing evaluation and observability
- Design and implement AI workflows with AI orchestration frameworks
- Design build and deploy AI powered applications and intelligent agents
- Develop Retrieval-augmented generation solutions
- Develop prompt engineering strategies
- Evaluate AI systems and reduce hallucinations
- Integrate and evaluate large language models
- Monitor AI applications in production
- Research and implement new AI technologies
- Use Git for version control and tracking code changes
- Write secure, maintainable, and well-documented code
Perks/Benefits
- Cycle to work scheme
- Development allowance
- Electric vehicle scheme
- Flexible work policy
- Nursery fee scheme
- Paid parental leave
- Paid time off
- Pension
- Private healthcare
- Volunteering days
- Wellbeing allowance
Skills/Tech-stack
AI orchestration | AI tool calling | Claude | Cost Optimization | Gemini | Generative AI | Git | Langchain | Langgraph | Language Models | Large Language Models | Latency optimization | Model Context Protocol | OpenAI | Prompt engineering | Python | Reliability Engineering | Retrieval-Augmented Generation | Secure Software | Secure Software Development | Software development | Tool-Calling | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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