Senior AI Engineer
BGN 90K-105K (estimate) Senior-level Full Time
Tasks
- Build and integrate AI solutions with AWS AI ML services
- Create ML pipelines and MLOps practices
- Design build maintain AI powered applications services and integrations
- Design consume APIs for scalable backend architectures
- Develop RAG based solutions with embeddings and vector search
- Implement AI agents and agentic workflows
- Implement LLM applications and integrate LLMs via APIs
- Perform AI evaluation for LLM outputs and RAG quality
- Support production rollouts troubleshooting monitoring and optimization
- Support prompt engineering and guardrails for LLM applications
Perks/Benefits
- Fully distributed remote
- Paid holiday
- Professional development
- State-of-the-art hardware
- Training & Certifications
Skills/Tech-stack
API Design | AWS | Access Control | Amazon Bedrock | Amazon OpenSearch | Amazon SageMaker | Anthropic API | Audit Logging | Autogen | CrewAI | Data Privacy | Deep learning | Django | Driven systems | Embeddings | Event Driven | Event Driven Systems | Experiment tracking | FastAPI | Flask | Gemini API | Generative AI | Hugging Face | Hugging Face Transformers | LLM Evaluation | Langchain | Language Models | Large Language Models | Llamaindex | ML pipelines | MLOps | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model Training | OpenAI API | PGVector | Pinecone | PyTorch | Python | RAG | RLHF | React | Secrets management | Semantic Kernel | TensorFlow | Vector Databases | Vector Search
Education
N/A
Roles
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