AI Engineer II

Generac Captiva Pvt. Ltd.; Pune District; On-site; INR 1,400,000 - 2,800,000; Full time

Job summary

Generac Power Systems Inc. in Pune, India, seeks an experienced AI Applications Engineer to design and deploy production-grade GenAI and RAG solutions, build autonomous AI agents, and orchestrate multi-agent workflows for enterprise applications.

You will leverage Azure AI and Google Vertex AI, work with LangGraph, LangChain, LlamaIndex, and MCP, and contribute to open-source frameworks. A strong Python background is required with JavaScript/TypeScript preferred.

Qualifications

• Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or a related technical discipline.
• Experience: 3+ years hands-on experience building and deploying AI, ML, NLP, or Generative AI solutions.
• Production Track Record: Delivered at least one production-ready AI application, LLM-powered platform, or agentic workflow into a live environment.
• Core Technical Expertise: Strong knowledge of LLMs, Prompt Engineering, RAG architectures, Vector Databases, and RESTful Microservices.
• Languages: Python (advanced), JavaScript/TypeScript (preferred).
• Architectures: GenAI, LLMs, RAG, Agentic AI, Autonomous Workflows, Vector DBs
• Cloud Platforms: Azure AI, GCP Vertex AI
• Frameworks: LangGraph, LangChain, LlamaIndex, MCP, CrewAI, AutoGen, Databricks, Google-BigQuery

Responsibilities

• Design and deploy production-grade AI applications and RAG architectures leveraging enterprise knowledge repositories.
• Agentic Automation: Architect, deploy, and scale autonomous AI agents capable of multi-step reasoning, planning, tool execution, and complex workflow automation.
• Multi-Agent Orchestration: Implement multi-agent communication networks and agent-to-system integrations.
• Embed intelligent assistants, copilots, or autonomous capabilities into enterprise web applications and industrial software.

Skills

Python

JavaScript/TypeScript

LLMs

RAG architectures

Vector DBs

RESTful microservices

Azure AI

GCP Vertex AI

LangGraph

LangChain

LlamaIndex

MCP

CrewAI

AutoGen

Databricks

Google BigQuery

Education

Bachelor's or Master's in CS/AI/DS/ML/SE

Tools

LangGraph

LangChain

LlamaIndex

MCP

CrewAI

AutoGen

Databricks

Google BigQuery

Job description

We are Generac, a leading energy technology company committed to powering a smarter world. Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.

AI Application & Agentic Architecture

• GenAI & RAG Solutions: Design and develop production-grade AI applications and RAG architectures leveraging structured/unstructured enterprise knowledge repositories.
• Agentic Automation: Architect, deploy, and scale autonomous AI agents capable of multi-step reasoning, planning, tool execution, and complex workflow automation.
• Multi-Agent Orchestration: Implement multi-agent communication networks and agent-to-system integrations using modern frameworks and protocols (e.g., Model Context Protocol - MCP).

Enterprise Integration

Embed intelligent assistants, copilot features, microservices, and APIs into modern web applications and industrial operations software.

Cloud AI & Open-Source Engineering

Cloud AI Solutions: Build robust solutions on cloud platforms including:

• Microsoft Azure: Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure Machine Learning, Azure Functions, Azure Databricks.
• Google Cloud (GCP): Vertex AI, Gemini Models, Document AI, BigQuery, AlloyDB AI, Cloud Run.

Open-Source Innovation: Hands-on development utilizing modern agentic frameworks and open-source models:

• Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, Claude Agent SDK, Hugging Face, MCP.
• Models: Llama, Gemma, Mistral, and leading proprietary/open-weights LLMs.

Deployment, MLOps & Optimization LLMOps & Lifecycle: Develop continuous integration/deployment (CI/CD) pipelines for testing, evaluating, and monitoring live AI applications.

Performance Optimization: Perform advanced prompt engineering, fine-tuning, latency reduction, and domain-specific model evaluation.

Observability & Governance: Implement enterprise best practices for AI observability, performance tuning, model accuracy, and responsible AI governance.

Minimum Job Requirements

Education: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or a related technical discipline.

Experience & Skills:

• Experience: 3+ years of hands‑on experience building and deploying AI, ML, NLP, or Generative AI solutions.
• Production Track Record: Demonstrated experience delivering at least one production‑ready AI application, LLM‑powered platform, or agentic workflow into a live environment.
• Core Technical Expertise: Strong working knowledge of LLMs, Prompt Engineering, RAG architectures, Vector Databases, and RESTful Microservices. Solid understanding of modern software engineering practices (Git, CI/CD, unit testing, containerization).
• Languages: Advanced proficiency in Python (required), JavaScript / TypeScript (Preferred)
• Architectures: GenAI, LLMs, RAG, Agentic AI, Autonomous Workflows, Vector DBs
• Cloud Platforms: Azure AI, GCP Vertex AI
• Frameworks: LangGraph, LangChain, LlamaIndex, MCP, CrewAI, AutoGen, Databricks, Google-BigQuery

Hands-on experience developing AI assistants, enterprise copilots, or autonomous multi-agent orchestration frameworks. Deep knowledge of LLMOps/MLOps, evaluation frameworks, and AI monitoring/observability tools. Experience in manufacturing, energy, industrial IoT, field service, or engineering operations domains. Familiarity with JavaScript/TypeScript, enterprise security standards, or Model Context Protocol (MCP). Active open‑source contributions, technical publications, or patent filings in AI/ML.

Physical Requirements and Working Conditions

PHYSICAL DEMANDS: Office Environment (Includes field sales): While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel. (If travel percentage is required beyond occasional or is a regular part of the job, include “Up to x% travel and valid Driver’s License required.”)

DISCLAIMER

All responsibilities and requirements are subject to possible modification to reasonably accommodate individuals with disabilities.

We believe power is a promise - a shared commitment to be there for others when it matters most. For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.

Ready to Power a Smarter World with us? As one of the leaders and largest suppliers of power generation equipment and technology, the work we do touches millions of lives. Employees at Generac are encouraged to be innovative and are valued as an integral part of our global team. Our challenging goals develop knowledgeable employees dedicated to helping continue Generac’s success. Generac provides individuals the opportunity to work in a fast‑paced agile work environment where their work makes a difference in people’s lives and their own.