The AI Engineer will design, develop, and deploy advanced, production-ready AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, agentic AI workflows, and intelligent automation technologies.
Compensation
₹15,00,000 – ₹22,00,000 per year (15–22 LPA), commensurate with experience and technical expertise
Responsibilities
Design, develop, and deploy AI systems, including LLMs, RAG, agentic workflows, and ML/DL solutions.
Select appropriate models and architectures while balancing accuracy, latency, cost, and complexity.
Train and fine-tune models using PyTorch or Keras, including data preparation and evaluation.
Implement and benchmark research methods before adoption.
Build APIs, inference pipelines, and backend integrations.
Evolve and enhance the core platform for entity management and governance, including entity types, attributes, cross-references (XREFs), and relationships.
Build and improve Named Entity Recognition (NER) pipelines for text and files by combining LLM-based models, gazetteers, pattern matching, and blacklists.
Extend NER capabilities to new content types, including live-stream content.
Evolve and enhance the core platform for entity management and governance, including entity types, attributes, cross-references (XREFs), and relationships.
Build and improve Named Entity Recognition (NER) pipelines for text and files by combining LLM-based models, gazetteers, pattern matching, and blacklists.
Extend NER capabilities to new content types, including live-stream content.
Analyse, modélisation et traduction des problématiques business en solutions IA et Gen AI au sein de l'équipe AI Solutions & Data Science.
Responsibilities
Comprendre et analyser les besoins des clients internes via l’exploration des données
Etablir un travail documentaire pour identifier les types d’algorithmes les plus pertinents (Machine Learning, Deep Learning, Gen AI, LLMs, RAG, multi-agents)
Tester les algorithmes, mesurer leur performance et les optimiser
Interaction avec les APIs type OpenAI pour des solutions d’IA Générative
Communiquer régulièrement sur l'avancement et les résultats
Lead critical technical initiatives within the JD Edwards ecosystem, focusing on FDA, RDA, NER, and Business Functions, overseeing system architecture, functional partitioning, and integration with external systems.
Locations (2)
India
Bangalore, Karnataka, India
Responsibilities
Oversee and validate all testing activities throughout the JD Edwards implementation lifecycle.
Diagnose complex development challenges and formulate effective resolution strategies.
Execute unit testing protocols to ensure application functionality aligns with design specifications and requirements.
Proactively identify opportunities for system enhancement and provide strategic recommendations.
Assess and mitigate risks associated with proposed system improvements.
Senior AI Data EngineerEncora · Remote, Costa Rica+3 more