Staff AI Engineer

SolarSquare Energy; Mumbai; Hybrid; INR 3,500,000 - 6,500,000; Full time

Benefits offered by this job

Job summary

SolarSquare Energy is seeking a Staff AI Engineer to lead the design, development, and deployment of AI-powered products across the organization. You will work with Product, Engineering, Data, and Business teams to identify high-impact use cases and deliver production-grade AI solutions that enhance customer experience and operational efficiency.

You will architect AI platforms, apply LLMs, agentic AI, RAG pipelines, and ensure governance, observability, and scalable infrastructure while

Qualifications

• 8+ years of software engineering experience with significant AI/ML engineering experience.

Responsibilities

• Drive the architecture, design, and development of AI-powered products and platforms.

Skills

LLMs

Agentic AI

RAG

Python

Distributed systems

Cloud architectures

Model orchestration

AI deployment

Product collaboration

Problem solving

Tools

LangGraph

LangChain

CrewAI

AutoGen

LlamaIndex

Job description

We are looking for a highly skilled Staff AI Engineer to lead the design, development, and deployment of AI-powered products and intelligent systems across the organization. This role will be responsible for driving AI strategy, building scalable AI platforms, and leveraging state-of-the-art LLMs, Agentic AI, and Machine Learning technologies to solve complex business problems. As a Staff AI Engineer, you will work closely with Product, Engineering, Data, and Business teams to identify high-impact use cases and deliver production-grade AI solutions that enhance customer experience, operational efficiency, and business outcomes.

Responsibilities:

• Drive the architecture, design, and development of AI-powered products and platforms.
• Build and deploy production-ready AI applications leveraging LLMs, Generative AI, Agentic AI, RAG pipelines, and Machine Learning models.
• Design and implement AI agents capable of autonomous reasoning, task execution, workflow orchestration, and decision-making.
• Develop scalable AI infrastructure, model-serving systems, and AI platform capabilities.
• Build retrieval systems, vector databases, knowledge graphs, and contextual intelligence layers to improve AI performance.
• Collaborate with Product and Business teams to identify AI opportunities and translate requirements into scalable solutions.
• Establish best practices for AI development, evaluation, observability, governance, and model monitoring.
• Lead technical discussions, architecture reviews, and strategic AI initiatives across teams.
• Mentor engineers and contribute to building a strong AI engineering culture.
• Evaluate emerging AI technologies and drive innovation through experimentation and rapid prototyping.

Requirements:

• 8+ years of software engineering experience with significant experience in AI/ML engineering.
• Strong expertise in Large Language Models (LLMs), Generative AI, Agentic AI frameworks, and Retrieval-Augmented Generation (RAG).
• Hands-on experience building and deploying AI systems in production environments.
• Strong programming skills in Python and experience with modern AI frameworks.
• Experience working with vector databases, embeddings, prompt engineering, and model orchestration frameworks.
• Strong understanding of distributed systems, APIs, microservices, and cloud-native architectures.
• Experience with AWS, GCP, or Azure cloud platforms.
• Strong problem-solving skills and ability to drive end-to-end ownership of AI initiatives.

Preferred Qualifications:

• Experience with LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or similar agent frameworks.
• Experience fine-tuning models and working with open-source LLMs.
• Exposure to multimodal AI systems involving text, image, voice, and video.
• Experience building AI copilots, virtual assistants, recommendation systems, or intelligent automation platforms.
• Previous experience in a high-growth product company or startup environment.