AI Engineering
Tasks
- Apply clean code and automated testing
- Build Python AI ML services
- Build RAG pipelines and vector search
- Design and build AI enabled applications
- Develop Java Spring Boot Microservices
- Develop React front ends with TypeScript
- Engineer scenario analysis and decision support
- Ensure observability and performance tuning
- Implement LLM APIs and prompt orchestration
- Implement data privacy and audit logging
- Integrate structured and unstructured data sources
- Provide design leadership and mentoring
- Set up CI CD and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Audit Logging | Authentication | Authorization | CI/CD | Docker | ELK | Elasticsearch | Embeddings | Explainability | FastAPI | Flask | GitHub Actions | GitLab CI | Grafana | Guardrails | Haystack | Helm | Java | JavaScript | Jenkins | Kubernetes | LLM APIs | Langchain | Llamaindex | Microservices | Model Evaluation | Observability | OpenAI | OpenSearch | OpenTelemetry | PGVector | Pandas | PostgreSQL | Prometheus | Prompt engineering | Python | RAG | REST APIs | React | Responsible AI | SQL | Semantic Kernel | Semantic Search | Splunk | Spring Boot | Terraform | TypeScript | Vector Databases | Vector Search
Education
N/A
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