AI Engineering
Tasks
- Apply clean code and automated testing
- Build Python AI ML services
- Design and build AI enabled applications
- Develop Java Spring Boot Microservices
- Develop React and TypeScript front ends
- Engineer scenario analysis and decision support solutions
- Ensure observability performance tuning and resilience
- Implement LLM RAG and agentic workflows
- Implement data privacy and audit logging controls
- Integrate structured and unstructured data sources
- Provide technical leadership mentoring and reusable patterns
- Set up CI CD and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflows | Audit Logging | Authentication | Authorization | Automated testing | CI/CD | Docker | Elasticsearch | Embeddings | FastAPI | Flask | GitHub Actions | GitLab CI | Grafana | Guardrails | Helm | Java | JavaScript | Jenkins | Kubernetes | LLM APIs | Microservices | Model Evaluation | Observability | OpenAI | OpenSearch | OpenTelemetry | Pandas | PostgreSQL | Prometheus | Prompt engineering | Prompt orchestration) | Python | RAG | REST APIs | React | SQL | Secure SDLC | Spring Boot | Terraform | TypeScript | Vector Databases | Vector Search
Education
N/A
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