AI Software Engineer
Tasks
- Architect data ingestion pipelines
- Architect multi-agent LLM systems
- Build RAG pipelines
- Collaborate with DevOps MLOps and application teams
- Create monitoring dashboards for latency and precision
- Define system workflows for summarization and retrieval
- Deploy AI systems on Kubernetes clusters
- Design fallback and recovery behaviors
- Develop RAG evaluation frameworks
- Enforce testing with golden datasets
- Fine tune transformer models for NLP tasks
- Implement agentic AI orchestration with LangGraph
- Implement observability with OpenTelemetry and SigNoz
- Integrate AI APIs with React and FastAPI
- Integrate GPT 4o PaLM 2 and open weight models
- Mentor team members on RAG and orchestration
- Set up CI/CD pipelines with Azure DevOps
- Store metadata with MongoDB and cache with Redis Streams
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EKS | Agent Orchestration | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | BERT | CI/CD | Docker | Elasticsearch | Faiss | FastAPI | GPT-4o | Git | Kubernetes | Kubernetes Service | LanceDB | Langchain | Langgraph | Llama | Mistral | MongoDB | Multi-Agent | Multi-agent orchestration | NumPy | OpenTelemetry | PaLM 2 | Pandas | Pinecone | Prometheus | Promptfoo | Python | REST APIs | React | Redis Streams | Retrieval-Augmented Generation | SQL | SentenceTransformers | Signoz | Vector Search
Education
N/A
Regions
Countries
States
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