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Role & Responsibilities
- Design, develop, and integrate LLM-powered applications into enterprise systems.
- Build REST / GraphQL APIs for seamless AI model integration.
- Implement prompt engineering techniques and optimize embeddings for performance.
- Evaluate LLM performance (accuracy, latency, cost) and recommend improvements.
- Work on fine-tuning / customization of models for enterprise use cases.
- Collaborate with cross-functional teams to deliver AI-driven productivity solutions .
- Ensure compliance with AI safety, security, and data privacy standards .
Must Have Skills
Strong Python development expertise.Hands-on experience with Large Language Models (LLMs) (e.g., OpenAI GPT).Experience in REST / GraphQL API integration.Proficiency in data preprocessing, embeddings, and prompt engineering .Knowledge of fine-tuning / customization of LLMs for enterprise applications.Familiarity with vector databases .Strong understanding of AI safety, security, and compliance considerations .Good to Have Skills
Experience with Generative AI automation for enterprise productivity .Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.Exposure to AI / ML pipelines and MLOps .Knowledge of cost optimization techniques in AI workloads.