Sr. Software Engineer - AI Job
Tasks
- Build LLM integrated features
- Create workflow automation with event driven orchestration
- Deploy applications using Docker and Kubernetes
- Develop MCP servers and clients
- Develop cloud-native services
- Implement frontend features with React and TypeScript
- Implement prompt engineering and streaming responses
- Integrate AI models into production applications
- Optimize cost and latency for LLM applications
- Set up CI/CD pipelines and Infrastructure as Code
Perks/Benefits
- Agile culture
- Continuous learning and skilling
- Flexible work arrangements
- Inclusive team environment
- Stable employment
- Support for business goals
Skills/Tech-stack
AWS | AWS API | Batching | CI/CD | Caching | Django | Docker | Event Driven | Event-driven orchestration | FastAPI | Flask | Gemini | Infrastructure as Code | Kubernetes | LLM integration | Model Context Protocol | Model Evaluation | Model routing | MongoDB | Node.js | Observability | OpenAI | PostgreSQL | Prompt Compression | Prompt engineering | Python | React | Serverless | Speech-to-Text | Streaming | Text to Speech | TypeScript | Workflow automation | “as-code”
Education
N/A
Roles
AI | AI Application Engineer | Application Engineer | Engineer | Software Engineer
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