- AI and Machine Learning Model Design : Lead the design, development, and optimization of Batch LLM (Large Language Models) and GenAI-driven applications, ensuring performance, scalability, and robustness.

- Prompt Engineering : Develop and refine AI prompt flows to enhance the effectiveness and accuracy of LLMs, OpenAI models, and other AI-driven systems.

- Python Development : Write clean, efficient, and maintainable Python code for AI, data processing, and backend services.

- REST API Development : Design, develop, and integrate REST APIs to interact with AI models and third-party systems.

- Database Management : Work with SQL databases to manage and query data for AI systems and applications.

- Version Control & CI/CD : Utilize Git for version control and CI/CD pipelines for automated deployment processes.

- Collaboration : Work closely with cross-functional teams, including data scientists, engineers, and product managers, to design and deploy AI-powered solutions.

- Documentation : Create clear, detailed documentation for code, model work flows, and system architecture.

Requirements :

Qualifications & Skills :

Minimum Qualifications :

- Bachelors or Masters degree in Computer Science, AI/ML, or a related technical discipline.

- 8 to 12 years of experience in technology roles with at least 3 years in AI/automation leadership.

- Proven experience in designing and deploying agentic AI or LLM-based systems in enterprise settings.

- Expertise in Python, APIs, vector databases, and orchestration frameworks (LangChain, AutoGen, Copilot Studio, or similar).

- Strong understanding of cloud-native AI development (Azure OpenAI, AWS Bedrock, Google Vertex AI).

- Solid grasp of MLOps, prompt engineering, and retrieval-augmented generation (RAG) patterns.