LLM Engineer

3 days ago


Remote, India Kubernetikos-infosec Full time ₹ 30,000 - ₹ 13,70,141 per year

Job Description:

Company: ConcertIDC

Job Role: LLM Engineer

Engagement: C2H

Experience: 6+ Years

Location: Remote

Job Summary

ConcertIDC is seeking an experienced LLM Engineer to lead the design, development, and integration of LLM capabilities within our automation platform. The ideal candidate will have strong backend expertise in Python, a solid understanding of enterprise system integrations, and hands-on experience working with LLMs, APIs, and vector databases to build scalable AI-driven applications.

Key Responsibilities

  • Design, develop, and maintain backend services for our LLM-based automation platform.
  • Integrate LLMs and vector databases into application workflows.
  • Implement secure authentication and authorization mechanisms (OAuth 2.0, RBAC, JWT).
  • Build and optimize database models and queries for handling complex datasets.
  • Develop and maintain RESTful APIs with best practices and documentation.
  • Ensure performance optimization, scalability, and responsiveness of applications.
  • Implement robust error handling, monitoring, and logging mechanisms.
  • Collaborate with cross-functional teams (frontend, ML, product) for seamless integration.
  • Write clean, maintainable, and well-structured code adhering to industry standards.

Required Skills & Qualifications

  • 6+ years of backend engineering experience, with strong expertise in Python.
  • Proven experience in LLM integration and working with APIs like OpenAI, Hugging Face, or similar.
  • Hands-on knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).
  • Strong experience in building scalable microservices and APIs.
  • Proficiency with authentication & authorization standards (OAuth 2.0, RBAC, JWT).
  • Solid experience with databases (SQL & NoSQL) and query optimization.
  • Familiarity with cloud platforms (Azure, AWS, or GCP) for deploying AI-driven applications.
  • Understanding of MLOps practices for deploying and managing AI/ML models.
  • Excellent problem-solving, debugging, and collaboration skills.

Job Type: Full-time

Pay: ₹300, ₹1,370,141.66 per year

Benefits:

  • Health insurance
  • Provident Fund

Work Location: Remote


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