Description

Key Responsibilities:
✅ Design and deploy Python-based AI/ML and data science solutions
✅ Architect agent-driven workflows including supervisor/sub-agent systems and intelligent orchestration
✅ Build scalable APIs, asynchronous workflows, and enterprise AI integrations
✅ Design and implement end-to-end LLM-powered applications
✅ Develop prompt engineering, context management, and structured output validation frameworks
✅ Create retrieval pipelines using vector databases, embeddings, indexing, and similarity search
✅ Deploy scalable AI/ML solutions within AWS cloud-native environments
✅ Implement CI/CD pipelines, observability, logging, metrics, and tracing capabilities
✅ Collaborate with business stakeholders to translate use cases into production-grade AI solutions

✔ Python Backend Development
✔ Agent-Based / Agent-Oriented Workflow Development
✔ API Development & Enterprise System Integration
✔ LLM-Enabled Application Development
✔ Prompt Engineering & Context Management
✔ Structured Output Validation & Post-Processing
✔ Retrieval-Based Systems (Vector Search, Indexing, Embeddings)
✔ AWS Cloud-Native Development
✔ CI/CD & Environment Management
✔ Observability (Logging, Metrics, Tracing)
 

Key Skills

Education

Any Gradute