GenAI / LLM Engineer

TIGI HR; Chennai; Hybrid; INR 1,500,000 - 2,200,000; Full time

Job summary

A leading company is seeking a Senior LLM Engineer in Chennai, Pune, Bangalore, Noida, or Gurgaon. The role involves designing and developing advanced LLM solutions focusing on Python, Generative AI, and cutting-edge AI systems. Candidates should have strong experience in AI project development and collaboration with cross-functional teams.

Qualifications

• 5+ years of experience in Software or ML Engineering.
• Expert-level proficiency in Python and experience with LLM/GenAI projects.
• Strong knowledge of RAG pipelines and prompt engineering methods.

Responsibilities

• Design and develop LLM-powered systems using Langchain and RAG.
• Collaborate on the technical roadmap and align AI development with business goals.
• Lead code reviews and adopt best practices in AI projects.

Skills

Python

RAG Pipelines

Prompt Engineering

LLM Internals

SQL

System-level design

Cross-functional collaboration

Job description

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Location: Chennai / Pune / Bangalore / Noida / Gurgaon - 3 days hybrid

Experience: 5+ Years

Role Overview:

We're looking for a Senior LLM Engineer with strong hands-on experience in Python and Generative AI / LLM solutions, including Langchain and RAG (Retrieval-Augmented Generation) pipelines. This role is ideal for someone who has transitioned from a Software or ML Engineering background into the LLM/GenAI space over the last 3–4 years and is looking to contribute to building cutting-edge AI systems.

Key Responsibilities:

• Design and develop LLM-powered systems using Langchain, RAG, and agent-based frameworks.
• Build intelligent, context-aware solutions using prompt engineering, embedding models, and vector databases.
• Collaborate on the technical roadmap and architecture for LLM solutions.
• Translate real-world business use cases into scalable, production-ready AI systems.
• Work closely with business SMEs and data teams to align AI development with operational goals.
• Lead or participate in code reviews, performance tuning, and best practices adoption.

Core Skill Set:

• Python (Expert-level)
• RAG Pipelines & Prompt Engineering
• LLM Internals: embeddings, tuning, agent workflows
• SQL for data handling and queries
• System-level design and AI pipeline integration
• Excellent communication and cross-functional collaboration

Preferred Qualifications:

• 1+ years in LLMs/GenAI project development
• Familiar with MLOps and scalable AI architecture
• Prior exposure to client-facing roles or AI product delivery teams

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Consulting, and Information Technology

Industries

• IT System Testing and Evaluation, Software Development, and Technology, Information and Media