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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.