What We’re Looking For8-14 years of experience in software engineering (backend or fullstack)2 years of hands-on experience with

LLMs (RAG, agents, prompt engineering)Robust experience building production-grade distributed systemsProficiency in

PythonStrong experience with

SQL & NoSQL databasesHands-on experience with

LangChain, LangGraph, or similar frameworksExperience deploying systems on

AWS / Azure / GCPStrong understanding of

APIs, microservices, and system designExperience with vector databases (Pinecone, Weaviate, FAISS, etc.)Familiarity with CI/CD pipelines and DevOps practices

Roles & ResponsibilitiesDevelop and optimize LLM-based solutions:

Lead the design and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.Codebase ownership : Build and maintain/review high-quality, effective code in Python (using frameworks like LangChain/LangGraph) and SQL,



focusing on reusable components, scalability, and performance best practices.Cloud integration:

Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.Cross-functional collaboration:

Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.Mentoring and guidance:

Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.

Valuable to HaveExposure to frontend frameworks

(React, Next.js) for fullstack rolesUnderstanding of model evaluation, fine-tuning, or LLMOpsExperience building multi-tenant or enterprise SaaS platforms

📌 Principal Genai Engineer – Backend / Fullstack Mumbai (India)
🏢 Savitr Software Services (P
📍 India