10850 – Sr. Software Engineer, Applied AI
Tasks
- Build RAG pipelines
- Build full-stack AI applications
- Build production-ready AI systems
- Collaborate across engineering, product, and data teams
- Conduct applied experimentation
- Create generative AI tools
- Create rapid PoCs and MVPs
- Design and implement LLM applications
- Develop agentic workflows
- Develop predictive models
- Ensure governance, privacy, and security compliance
- Improve AI reliability
- Integrate AI services with cloud architecture
- Integrate AI systems with enterprise platforms
- Refine prompts and iterate model performance
- Translate business requirements into AI capabilities
Perks/Benefits
- Annual merit increase eligibility
- Education assistance
- Growth focused work environment
- Medical, dental coverage
- PTO
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS SageMaker | Autogen | Azure AI | Azure AI Foundry | Azure OpenAI | CI/CD | ChromaDB | Cloud Native | Cloud-native development | CrewAI | Docker | Embeddings | Faiss | Hugging Face | Kubernetes | LLM | Langgraph | Llamaindex | MCP | MLOps | Microservices | Model Context Protocol | Model Evaluation | Model Monitoring | N8n | Native Development | NoSQL Databases | Observability | Pinecone | Prompt engineering | PyTorch | Python | RAG | REST APIs | React | Relational databases | TensorFlow | Vector Databases
Education
N/A
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