Engineering - Software Engineer - Associate - London
GBP 76K-93K (estimate) Mid-level Full Time
Tasks
- Architect and implement scalable maintainable AI solutions
- Automate deployment, testing, and monitoring
- Build CI CD pipelines for accelerated delivery
- Build prompt engineering and response validation workflows
- Collaborate on solution architecture and scalable data models
- Create documentation and enable knowledge transfer
- Create tool calling agents with secure action execution
- Design data schemas and data pipelines
- Develop evaluation and retrieval pipelines for LLMs
- Implement MLOps for model deployment monitoring and lifecycle management
- Integrate AI models with existing systems and workflows
- Lead end to end development of cloud native AI applications
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Agentic AI | Artificial Intelligence | Azure | Batch Processing | CI/CD | Caching | Cloud Security | Cloud platform | Containers | Cost Optimization | Data Versioning | Data pipeline | Data pipeline orchestration | Docker | Feature Store | Function Calling | Go | Google Cloud | Google Cloud Platform | Graph Databases | Incident Management | Java | Kubernetes | Language Models | Large Language Models | Latency optimization | MLOps | Machine Learning | Model routing | Monitoring | NoSQL | Observability | Parallel processing | Pipeline Orchestration | Policy enforcement | Prompt Synthesis | Prompt engineering | PyTorch | Python | Relational databases | Retrieval Pipelines | Retrieval-Augmented Generation | Runbook Automation | Serverless | Streaming | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Application Engineer | Application Engineer | Engineer | Software Engineer
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