Agentic AI Software Engineer
Tasks
- Build high-performance APIs and backend services
- Build vector search and RAG pipelines
- Design scalable production systems on cloud
- Develop agentic AI workflows
- Implement AI features from prototype to production
- Implement CI CD workflows for AI deployments
- Integrate large language models into enterprise solutions
- Integrate tools for autonomous decision making
- Optimize performance and reliability
- Run testing monitoring and observability
- Set up LLMOps and MLOps pipelines
Perks/Benefits
- Community knowledge sharing
- Downtown office location
- Flexible working model
- Hackathons and conferences
- Public transport ticket
- Training and certifications
Skills/Tech-stack
AWS | Azure | CI/CD | Docker | FastAPI | Fine Tuning | Flask | GCP | Hugging Face | Java | JavaScript | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Monitoring | NoSQL | Observability | OpenAI API | Prompt engineering | PyTorch | Python | RAG | Rust | SQL | Spring Boot | TensorFlow | Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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