Senior GenAI / Applied LLM Engineer

syncarp India
Relocation
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AI Summary

Design and develop GenAI / LLM-powered applications. Build and manage data pipelines and data models. Collaborate with global teams to contribute to production-grade AI systems.

Key Highlights
GenAI / LLM-powered applications
Data pipeline management
Global team collaboration
Key Responsibilities
Design & develop GenAI / LLM-powered applications
Build and manage data pipelines (ETL/ELT) and data models
Architect scalable systems using microservices patterns
Implement RAG pipelines, prompt engineering, and LLM integrations
Develop backend systems using Python
Collaborate with frontend teams using React & TailwindCSS
Deploy and maintain production-grade ML systems
Technical Skills Required
Generative AI Applied LLMs Machine Learning Python Data Pipelines ETL/ELT Data Modeling Microservices Architecture React.js TailwindCSS LLMs Prompt Engineering RAG frameworks
Benefits & Perks
Relocation to Japan
International work journey
Nice to Have
Experience with AWS / GCP / Azure
Knowledge of MLOps and scalable deployments
Familiarity with vector databases & embeddings

Job Description


We’re Hiring: GenAI / Applied LLM Engineer (6–12 Years Experience)


Are you excited about building real-world applications powered by Generative AI and Large Language Models (LLMs)? We’re looking for experienced engineers who can design scalable AI systems and are open to an international work journey.


Role Overview

As a GenAI / Applied LLM Engineer, you will work on cutting-edge AI solutions using LLMs, machine learning, and data engineering. This role offers an opportunity to contribute to production-grade AI systems and collaborate across global teams.


Location & Relocation

  • Initial 3 months in Chennai (India)
  • Post that, relocation to Japan


Key Responsibilities

  • Design & develop GenAI / LLM-powered applications
  • Build and manage data pipelines (ETL/ELT) and data models
  • Architect scalable systems using microservices patterns
  • Implement RAG pipelines, prompt engineering, and LLM integrations
  • Develop backend systems using Python
  • Collaborate with frontend teams using React & TailwindCSS
  • Deploy and maintain production-grade ML systems


Required Skills

  • Strong experience in Generative AI / Applied LLMs
  • Solid foundation in Machine Learning
  • Expertise in Python, Data Pipelines, ETL/ELT, Data Modeling
  • Experience with Microservices Architecture
  • Exposure to React.js & basic TailwindCSS
  • Hands-on experience with:
  • LLMs (OpenAI, HuggingFace, etc.)
  • Prompt Engineering & RAG frameworks (LangChain, etc.)


Good to Have

  • Experience with AWS / GCP / Azure
  • Knowledge of MLOps and scalable deployments
  • Familiarity with vector databases & embeddings


Who Should Apply?

  • Engineers with 6–12 years of experience
  • Professionals with hands-on LLM / GenAI project experience
  • Candidates open to relocation to Japan after initial Chennai stint


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