Software Engineer (Full-Stack/Backend & Applied AI)
Tasks
- Apply AI SDLC practices
- Architect and build agentic workflows
- Build scalable microservices
- Contribute to technical roadmap
- Detect intelligence drift and hallucinations
- Establish continuous trace based quality evaluation
- Evaluate emerging AI tooling
- Implement LLM API integration
- Implement agentic workflows
- Implement rag pipelines
- Integrate generative AI into production systems
- Mentor engineers
- Run code reviews and test automation
- Set up operational practices and observability
Perks/Benefits
Skills/Tech-stack
AI SDLC | AWS | CI/CD | Code review | CrewAI | DynamoDB | Generative AI | Go | GraphQL | Kubernetes | LLM API | Langchain | Langgraph | MongoDB | Observability | PostgreSQL | Python | RAG | REST API | Rust | SNS | SQS | Terraform | Test automation | TypeScript | Vector Database
Education
N/A
Roles
Developer | Engineer | Full Stack | Full Stack Developer | Software Engineer | Stack Developer
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