Senior GenAI Software Engineer (Backend & API Integration)
Tasks
- Apply behavior-driven development
- Apply test-driven development
- Build REST and GraphQL APIs
- Collaborate with architecture security and business
- Create reusable playbooks and components
- Deploy containerized services
- Design and develop GenAI applications
- Develop microservices
- Document decisions with ADRs
- Enforce LLM guardrails and PII controls
- Implement CI/CD pipelines
- Implement LLMOps and MLOps evaluations
- Implement observability with logging, metrics, tracing
- Implement rag pipelines
- Integrate LLMs into backend services
- Monitor latency cost and drift
- Orchestrate LLM agents
- Support code reviews and mentoring
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Bedrock | Azure DevOps | Azure OpenAI | BDD | CI/CD | Chaos Testing | Contract testing | DAST | Docker | Embeddings | Faiss | FastAPI | Flask | GitHub Actions | GitLab CI | GraphQL | Guardrails | Integration Testing | Jenkins | Kafka | Kubernetes | LLM integration | LLMOps | Langchain | Llamaindex | MLOps | MLflow | Microservices | OAuth2 | OIDC | OpenAI API | OpenTelemetry | PGVector | PII Redaction | Pinecone | PubSub | Python | RAG | REST | Rate Limiting | SAST | SAST Security | SLA | SLO | Secrets management | Semantic Kernel | Semantic evaluation | TDD | Terraform | Tool-Calling | Unit Testing | Vector Databases | Vertex AI | Weights and Biases
Education
N/A
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