Key Responsibilities :

- Develop and integrate AI/ML and Generative AI solutions.
- Build LLM-based applications, AI Agents, and RAG pipelines.
- Work with Python and popular AI/ML frameworks and libraries.
- Develop solutions using NLP, Machine Learning, and Deep Learning.
- Integrate AI models with APIs, databases, and external tools.
- Perform model evaluation, testing, optimization, and troubleshooting.
- Work with engineering and product teams to deploy AI solutions into production.
- Implement prompt engineering and improve LLM response quality.
- Ensure AI solutions are scalable, reliable, and secure.

Required Skillset :

- Demonstrated expertise in building and deploying Generative AI and LLM-based solutions within large-scale production environments.
- Advanced proficiency in Python and deep learning frameworks such as PyTorch,



with a strong foundation in Machine Learning principles.
- Proven ability to design and manage VectorDB implementations and complex RAG architectures for enterprise search and retrieval.
- Robust command over prompt engineering strategies to optimize model behavior and output quality across diverse use cases.
- Experience in implementing LLMOps pipelines, including model versioning, monitoring, and automated testing for AI systems.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and lead cross-functional initiatives.

📌 Appzlogic Mobility - Lead AI/ML Engineer - Generative AI (India)
🏢 Appzlogic Mobility Solutions
📍 India