Senior LLM Engineer

Turing; India; Remote; INR 4,000,000 - 7,000,000; Full time

Job summary

Cashback24x7 in India invites an experienced Senior LLM Engineer to design, build, and deploy GenAI and LLM-based systems. The role emphasizes hands-on engineering and collaboration across teams to drive AI initiatives.

You will work with Langchain, RAG pipelines, prompt engineering, and production-ready deployments, translating business needs into scalable AI solutions and shaping the technical roadmap.

Qualifications

• Hands-on experience designing GenAI/LLM systems.
• Strong Python, Langchain, and SQL proficiency.
• Experience with cloud platforms (AWS/Azure/GCP).
• Ability to translate business needs into scalable AI solutions.

Responsibilities

• Design and develop GenAI/LLM-based systems using Langchain and RAG pipelines.
• Implement prompt engineering techniques and agent-based frameworks.
• Collaborate with the engineering team to shape the technical roadmap for LLM initiatives.
• Translate business needs into scalable, production-ready AI solutions.
• Work with business SMEs and data teams to align AI models with real-world use cases.
• Contribute to architecture discussions, code reviews, and performance optimization.

Skills

Python

Langchain

SQL

LLM internals

Prompt tuning

Embeddings

Vector databases

Agent workflows

Communication

Stakeholder management

Tools

AWS

Azure

GCP

MLOps

RAG pipelines

Langchain pipelines

Job description

Senior LLM Engineer – GenAI / ML (Python, Langchain)Full TimeLocation: IndiaOverall Experience: 7–12 YearsFocus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration.

Key Responsibilities:

• Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines.
• Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.
• Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.
• Translate business needs into scalable, production-ready AI solutions.
• Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases.
• Contribute to architecture discussions, code reviews, and performance optimization.

Skills Required:

• Proficient in Python, Langchain, and SQL.
• Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows.
• Background in machine learning or software engineering with a focus on system-level thinking.
• Experience working with cloud platforms like AWS, Azure, or GCP.
• Ability to work independently while collaborating effectively across teams.
• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• 1+ years of hands-on experience in LLMs and Generative AI techniques.
• Experience contributing to ML/AI product pipelines or end-to-end deployments.
• Familiarity with MLOps and scalable deployment patterns for AI models.
• Prior exposure to client-facing projects or cross-functional AI teams.