AI Engineer
Tasks
- Build applied AI services and workflows
- Create agentic workflows with tool and function calling
- Deploy AI services to AWS
- Develop LLM powered automation and decision support
- Develop evaluation suites and regression tests
- Develop scalable APIs and microservices
- Handle PII and hallucination mitigation
- Implement guardrails and policy checks
- Implement retrieval augmented generation systems
- Provide AI observability and monitoring
- Set up CI CD pipelines and operational runbooks
Perks/Benefits
- 25 days holiday per year
- Cycle garage and showers
- Dental scheme
- Free soft drinks
- Hybrid working
- On-site bar
- On-site gym
- Private medical insurance
- Subsidised café
Skills/Tech-stack
APIs | AWS | Asynchronous processing | CI/CD | CloudWatch | Datadog | Embeddings | Evaluation | Guardrails | Hybrid search | Infrastructure as Code | Java | Langchain | Langgraph | Llamaindex | Microservices | Observability | OpenSearch | OpenTelemetry | PGVector | PII | Pinecone | Prompt engineering | Python | RAG | Redis | Reranking | Secrets management | Vector Databases | Vector Search | Weaviate | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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