AI Software Engineer (Python)
Tasks
- Analyze requirements for software and AI products
- Apply architectural patterns for scalability reliability performance and cost
- Apply software reliability engineering SRE practices and AI evaluation techniques
- Build agentic AI systems with planning reasoning retrieval and tool use
- Build integrate and evaluate generative AI solutions
- Communicate progress blockers and risks
- Create prototypes and proofs of concept for emerging GenAI and vector search technologies
- Design develop test deploy and maintain software components and services
- Develop production ready testable code for AI workflows
- Develop retrieval augmented generation RAG pipelines
- Follow security compliance data privacy and risk best practices
- Participate in code reviews as author and reviewer
- Troubleshoot AI and software model output quality issues and root causes
Perks/Benefits
Skills/Tech-stack
AI Search | Agentic AI | Agile | Algorithms | Azure AI | Azure AI Search | Data Structures | DevOps | Faiss | Generative AI | Graph Databases | Langchain | Langgraph | Model Evaluation | Neo4j | OpenSearch | Pinecone | Prompt engineering | Python | RAG | REST APIs | React | Reliability Engineering | Retrieval-Augmented Generation | Semantic Search | Software Reliability Engineering | Software reliability | Tool invocation | Vector Databases | Vector Search | Weaviate | Workflow Orchestration
Education
N/A
Roles
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