Forward Deployed Engineer - Applied AI - Senior - Financial Services - Consulting
Tasks
- Build REST APIs and workflows
- Build production LLM applications
- Conduct system design reviews
- Containerize and deploy AI services
- Debug production AI systems
- Design AI/ML solutions
- Develop generative AI pipelines
- Document and communicate project status
- Identify and manage technical risks
- Implement retrieval-augmented generation
- Improve resilience and maintainability
- Integrate LLM components into enterprise platforms
- Monitor model performance and quality
- Orchestrate agentic workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS Bedrock | AWS ECS | AWS SageMaker | Asynchronous programming | Autogen | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure Machine Learning | Azure Monitor | Azure OpenAI | Container Apps | CrewAI | Datadog | Docker | Dspy | Embedding Models | Event Driven | Event-driven architecture | Generative AI | GitHub Copilot | Google Vertex | Google Vertex AI | Human-in-the-loop | Kubernetes | LLM Evaluation | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | LoRA | Machine Learning | Model Observability | Nvidia Nim | PEFT | PGVector | Pinecone | Prompt engineering | PromptFlow | Python | QLoRA | RAG | REST APIs | Responsible AI | Retrieval-Augmented Generation | Safety testing | Semantic Kernel | The Loop | Tracing | Vector Search | Vertex AI | Weaviate
Regions
Countries
States
Cities
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