GenAI Software Engineer (Backend & API Integration)
Tasks
- Apply prompt versioning and evaluation
- Build RAG pipelines
- Build microservices
- Collaborate with data security and architecture
- Containerize services
- Define quality gateways
- Design and develop GenAI applications
- Develop REST and GraphQL APIs
- Document ADRs and technical decisions
- Enforce API security
- Implement API testing
- Implement LLMOps and MLOps
- Implement agent tool calling
- Implement observability
- Integrate LLMs into backend services
- Monitor model latency and cost
- Set up CI/CD pipelines
- Support code reviews and mentoring
Perks/Benefits
- Career growth
- Certification support
- Hybrid work model
- Inclusive multicultural teams
- Mentoring
- Training
Skills/Tech-stack
AI Studio | AWS | Amazon Bedrock | Azure | Azure AI | Azure AI Studio | Azure DevOps | Azure OpenAI | BDD | CI/CD | Chaos Testing | Contract testing | DAST | Dependency Scanning | Docker | Embeddings | Experiment tracking | Express | Faiss | FastAPI | Flask | GCP | GitHub Actions | GitLab CI | GraphQL | Guardrails | Integration Testing | Jenkins | Kafka | Kubernetes | Langchain | Llamaindex | MLflow | Microservices | Model Monitoring | OAuth2 | OIDC | OpenAI | OpenTelemetry | PGVector | PII filtering | Pinecone | Prompt Flow | Pub/Sub | Python | RAG | REST | Rate Limiting | SAST | SLO/SLA | Secrets management | Semantic Kernel | TDD | Terraform | Tool-Calling | Unit Testing | Vector Databases | Vertex AI | Weights and Biases
Education
N/A
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