Generative AI Applications Engineer (Agents & RAG)
Tasks
- Build RAG systems for mission data
- Build retrieval pipelines and vector search
- Define SLIs and SLOs and optimize cost using FinOps
- Deploy into secure Zero Trust environments
- Design and ship agentic GenAI workflows
- Implement LLM evaluation and safety policies
- Instrument observability metrics logs and traces
- Integrate GenAI platforms with cloud services
- Run A B experiments and incident playbooks
- Ship reusable SDKs and CI CD templates
Perks/Benefits
- Certifications and industry training
- Collaborative inclusive community
- Hands on growth
- On call operational experience
Skills/Tech-stack
A/B | A/B Testing | AWS Bedrock | Amazon Kendra | Azure OpenAI | B testing | CI/CD | Chroma | Docker | Faiss | FinOps | Google Vertex | Google Vertex AI | Infrastructure as Code | Kubernetes | LLM Evaluation | Langchain | Language Models | Large Language Models | Llamaindex | Observability | OpenAI ChatGPT | OpenSearch | PGVector | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | SLI | SLO | Safety policies | Semantic Kernel | Terraform | Transformer | Vector Search | Vertex AI | Weaviate | Zero Trust | “as-code”
Education
N/A
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