Software Development Engineer
Tasks
- Build RAG pipelines using enterprise knowledge sources
- Create evaluation frameworks and automated testing pipelines
- Deploy AI solutions into business processes
- Design AI agents capable of multi step reasoning
- Design system prompts and task specific prompts
- Develop LLM based solutions with tool usage memory and orchestration
- Develop and maintain production Python applications
- Document technical solutions and operational procedures
- Evaluate and benchmark AI model effectiveness
- Implement context retrieval and grounding strategies
- Implement function calling structured outputs and automated workflows
- Implement logging monitoring testing and observability
- Integrate AI agents with APIs databases and enterprise platforms
- Monitor deployed systems troubleshoot issues and implement enhancements
- Optimize AI system performance reliability scalability and response quality
- Participate in code reviews and engineering best practices
- Reduce hallucinations and improve response consistency
- Support cloud deployment and containerized AI environments
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | API Integration | Agent Orchestration | Azure OpenAI | CI/CD | Docker | Embeddings | Function Calling | Git | JSON | Kubernetes | LLM | Language Models | Language Processing | Large Language Models | Logging | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | RAG | REST | Retrieval-Augmented Generation | Semantic Search | Structured outputs | Tool use | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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