Senior Software Engineer, GenAI
Tasks
- Architect RAG implementations
- Architect cloud based AI infrastructure on AWS and Azure
- Build Model Context Protocol MCP servers
- Build multi agent systems and intelligent automation
- Collaborate with product managers and stakeholders to gather requirements
- Create AI evaluation frameworks
- Deliver production grade code through the full software development lifecycle
- Design and deploy production ready generative AI platforms
- Develop AI enabled search and integrations
- Develop enterprise chatbot platforms
- Develop scalable FastAPI APIs
- Ensure performance, reliability, and scalability
- Implement agentic workflows and state management
- Integrate AI capabilities into websites and applications
Perks/Benefits
- Employee resource groups
- Healthcare benefits
- Hybrid work environment
- Leadership development
- Mentorship programs
- Paid volunteer days
- Parental leave
- Retirement planning
- Training programs
- Tuition reimbursement
Skills/Tech-stack
AI Search | AWS | AWS Bedrock | AWS EKS | Agent systems | Amazon SageMaker | Azure | Azure AI | Azure AI Search | Containerization | Docker | Embeddings | FastAPI | Fine Tuning | Generative AI | Graph Workflow Orchestration | Kubernetes | LLM integration | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Memory systems | Model Context Protocol | Multi-Agent | Multi-Agent Systems | PyTorch | Python | RAG | State management | TensorFlow | Vector Databases | Workflow Orchestration
Education
N/A
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