AI Engineer
Tasks
- Build AI workflows and orchestration patterns
- Build LLM prototypes and production services
- Build integrations with internal applications
- Create reusable AI engineering patterns and libraries
- Design AI-powered services
- Develop backend services with Python
- Evaluate models for quality latency cost reliability
- Experiment with LLM APIs and model providers
- Integrate AI components with REST APIs
- Package deploy monitor and operate AI services
- Stay current with AI models and applied techniques
- Support fine tuning and data preparation
- Support model evaluation testing benchmarking
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS Step Functions | Agentic Workflows | Airflow | Asynchronous programming | CI/CD | Data Pipelines | Deployment | Django | Docker | Driven systems | Event Driven | Event Driven Systems | FastAPI | Flask | Hugging Face | LLM | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Machine Learning Ops | Machine Translation | Message Queues | Microservices | Model Evaluation | NLP | OCR | OpenAI API | Orchestration | Prompt engineering | Python | RAG | REST API | RPA | Speech Recognition | Step Functions | Temporal | Testing | Text to Speech | Vector Databases | Vertex AI | Workflow automation
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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