Principal GenAI Engineer – Backend / Fullstack

Savitr Software Services (P) Ltd; Hyderabad; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Savitr Software Services (P) Ltd in Hyderabad is seeking a senior software engineer to lead GenAI projects, focusing on LLM‑based systems, RAG pipelines, and scalable architectures.

The role requires hands‑on Python coding, API design, and cloud deployments on AWS/Azure/GCP, plus expertise in LangChain/LangGraph and vector databases. You will mentor teammates and own critical code components.

Qualifications

• 8–14 years of software engineering experience with backend or full‑stack focus.
• Hands-on experience with LLMs (RAG, agents, prompt engineering).
• Strong track record building production‑grade distributed systems.
• Proficiency in Python and APIs, microservices, and system design.
• Experience with vector databases (Pinecone, Weaviate, FAISS, etc.).
• Familiarity with CI/CD pipelines and DevOps practices.

Responsibilities

• Lead the design and deployment of LLM‑based solutions using prompt engineering and RAG.
• Develop and optimize Python code and SQL/NoSQL components for scalability.
• Deploy GenAI applications on cloud platforms (AWS/Azure/GCP) and ensure robust CI/CD.
• Collaborate with product owners, data scientists, and SMEs to define requirements.
• Provide technical leadership and mentoring to the engineering team.

Skills

Python

LLMs (RAG, agents, prompt engineering)

Distributed systems

APIs & microservices

LangChain/LangGraph

Cloud deployment (AWS/Azure/GCP)

Vector databases

CI/CD

SQL & NoSQL databases

Tools

LangChain/LangGraph

Pinecone/Weaviate/FAISS

AWS/Azure/GCP

Job description

• 8-14 years of experience in software engineering (backend or fullstack)
• 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
• Strong experience building production-grade distributed systems
• Proficiency in Python
• Strong experience with SQL & NoSQL databases
• Hands-on experience with LangChain, LangGraph, or similar frameworks
• Experience deploying systems on AWS / Azure / GCP
• Strong understanding of APIs, microservices, and system design
• Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
• Familiarity with CI/CD pipelines and DevOps practices
• Develop 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, efficient 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.

Good to Have

• Exposure to frontend frameworks (React, Next.js) for fullstack roles
• Understanding of model evaluation, fine-tuning, or LLMOps
• Experience building multi-tenant or enterprise SaaS platforms