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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.
Python Developer • Dindigul, Tamil Nadu, India