Service Delivery Center, AI & Data, AI Developer - Senior
Tasks
- Build and integrate LLM RAG and agentic components
- Build end to end LLM application pipelines from data ingestion to output delivery
- Debug troubleshoot and remediate production LLM and agentic systems
- Design APIs workflows and implementation patterns
- Develop production-grade AI/ML solutions
- Develop test deploy and support AI ML and generative AI systems
- Participate in design reviews and provide trade off analysis
- Solve complex technical problems across development integration and production support
- Support project delivery through estimation documentation status communication and risk identification
- Translate user requirements into technical designs and implementation plans
Perks/Benefits
- 401k plan
- Dental coverage
- Flexible vacation policy
- Hybrid work model
- Medical coverage
- Paid Holidays
- Paid time off
- Pension plan
Skills/Tech-stack
AI Search | AWS Bedrock | Application Insights | Arize | Asynchronous Workflows | Autogen | Azure AI | Azure AI Search | Azure Application Insights | Azure Monitor | Azure OpenAI | Bias Evaluation | CI/CD | Cloud Platforms | Containerization | CrewAI | Data Ingestion | Data Observability | Data Quality | Data Quality Validation | Datadog | Deep learning | Docker | Docker orchestration | Dspy | Embeddings | Event Driven | Event-driven architecture | Fairness evaluation | Google Vertex | Google Vertex AI | Human-in-the-loop | Kubernetes | LLM-Ops | LLMOps | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | Machine Learning | Model Deployment | Model Monitoring | Nvidia Nim | Observability | OpenTelemetry | PGVector | Pinecone | Prompt engineering | PromptFlow | Python | Quality validation | REST APIs | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Semantic Retrieval | The Loop | Vector Search | Vertex AI | Weaviate
Education
Roles
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