Lead Software Engineer, AI Expertise

Jobtailor; Pune District; On-site; INR 500,000 - 800,000; Full time

Job summary

Jobtailor in India is seeking a GenAI-focused backend engineer to design and develop AI-powered applications that integrate LLMs, RAG, embeddings, and agent-based components. You will contribute to scalable GenAI architectures within an industrial cloud environment.

The role requires strong Python/Node.js/Java skills, hands-on with LangChain, LlamaIndex, Hugging Face, and OpenAI API, plus experience with cloud platforms and MLOps pipelines.

Qualifications

• Proven backend development experience in Python, Node.js, or Java.
• Hands-on exposure to GenAI frameworks and cloud platforms.
• Experience with production-grade industrial environments.
• Ability to communicate clearly within large enterprise ecosystems.
• Familiarity with RAG architectures, vector databases, and MLOps pipelines is a strong plus.

Responsibilities

• Design and develop AI powered applications integrating LLMs, including RAG, embeddings, and agent-based components.
• Define scalable GenAI architectures, ensuring robustness, performance, and industrial readiness.
• Implement APIs, microservices, and AI pipelines within an industrial cloud environment.
• Support client teams through scoping, technical expertise, architecture reviews, audits, and best practice guidance.
• Ensure solution quality, security, compliance, and observability, following governance and risk management standards.

Skills

Python

Node.js

Java

GenAI Frameworks

LangChain

LlamaIndex

Hugging Face

OpenAI API

MLOps Pipelines

RAG Architectures

Structured Communication

Service Mindset

Rigor

Tools

Azure

AWS

GCP

Job description

Responsibilities

• Design and develop AI powered applications integrating Large Language Models (LLMs), including RAG, embeddings, and agent-based components.
• Define and contribute to scalable GenAI architectures, ensuring robustness, performance, and industrial readiness.
• Implement APIs, microservices, and AI pipelines within an industrial cloud environment.
• Support client teams through scoping, technical expertise, architecture reviews, audits, and best practice guidance.
• Ensure solution quality, security, compliance, and observability, following governance and risk management standards.

Qualifications

• Strong backend engineering experience in Python, Node.js, or Java.
• Proficiency with GenAI frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI API.
• Hands on exposure to at least one major cloud platform (Azure, AWS, or GCP) and experience with demanding production grade industrial environments.
• Ability to operate effectively in large enterprise ecosystems: structured communication, rigor, and a strong service mindset.
• Experience with RAG architectures, vector databases, and MLOps pipelines is a strong plus.

Hard Skills

• Python
• Node.js
• Java
• GenAI Frameworks
• LangChain
• LlamaIndex
• Hugging Face
• OpenAI API
• MLOps Pipelines
• RAG Architectures

Soft Skills

• Structured Communication
• Service Mindset
• Rigor