* Develop LLM-powered applications using Python-based frameworks.
* Implement RAG pipelines and vector database integrations.
* Build prompt orchestration workflows and response optimization logic.
Agentic Workflow Implementation
* Develop AI agents with tool integration capabilities.
* Implement reasoning loops, memory modules, and execution controls.
* Integrate AI agents into backend systems and APIs.
Deployment & Optimization
* Build REST APIs and microservices for AI applications.
* Optimize inference performance, latency, and cost.
* Support CI/CD pipelines and cloud deployments.
Testing & Quality
* Implement evaluation metrics for hallucination control and accuracy.
* Debug and resolve performance bottlenecks.
* Document code, workflows, and solution design.
Experience and Competency Requirements
* 4–8 years of software development experience.
* 2+ years working with AI/ML or GenAI applications.
* Robust proficiency in Python.
* Experience with LLM APIs, embeddings, and vector databases.
* Exposure to cloud-based deployments and containerization.
* Strong analytical and debugging capabilities.
* Should have decent to good experience in data handling and analytics with
python