Software Engineer
Tasks
- Build and deploy agentic AI applications
- Create high performance backend services
- Design and optimize prompts and agent workflows
- Design scalable enterprise applications
- Develop AI-powered workflows
- Develop technical designs for AI driven applications
- Develop unit, integration, and automated tests
- Drive AI assisted development automation
- Ensure code quality, security, and maintainability
- Evaluate emerging AI technologies
- Improve scalability observability and performance
- Integrate enterprise systems and APIs
- Participate in Agile design reviews and sprints
- Use version control and CI/CD tools
Perks/Benefits
Skills/Tech-stack
AI Evaluation | Agile | Artifactory | Automated testing | Azure DevOps | Backend Development | Bitbucket | CI/CD | Confluence | Data Processing | Databases | Design Patterns | Embeddings | Function Calling | Generative AI | Git | GitHub Actions | Integration Testing | Jenkins | Jira | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | MCP | Object-Oriented | Object-oriented programming | 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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