Software Engineer
Tasks
- Build and deploy agentic AI applications
- Create technical designs for AI driven applications
- Design and optimize prompts and agent workflows
- Design scalable enterprise applications
- Develop AI-powered workflows
- Develop intelligent workflow engines
- Ensure code quality, maintainability, and security
- Evaluate and recommend emerging AI technologies
- Implement high-performance backend services
- Implement unit integration and automated testing
- Improve scalability performance and observability
- Integrate enterprise systems and APIs
- Manage context orchestration and memory
- Participate in Agile sprint activities and design reviews
- Use version control and CI CD pipelines to deliver software
Perks/Benefits
Skills/Tech-stack
Agentic AI | Agile | Artifactory | Azure DevOps | Backend Development | Bitbucket | CI/CD | Confluence | Databases | Embeddings | Function Calling | Generative AI | Git | GitHub Actions | Integration Testing | Jenkins | Jira | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | MCP | Model Context Protocol | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | System design | Tool-Calling | Unit Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Developer | Engineer | Python | Python Developer | Software Engineer
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