Job Description: AI Engineer
Department: Artificial Intelligence
Experience: 35 years
Location: Pune /Nagpur (Work From Office)

Role Overview
We are seeking an experienced AI Engineer with 3–5 years of hands-on experience in generative AI, machine learning, MLOps, forecasting, and production-grade AI solution development. The selected candidate will design, build, deploy, monitor, and optimize scalable AI systems. The role requires practical expertise in LangChain, LangGraph, Retrieval-Augmented Generation, LLM orchestration, agentic workflows, machine learning lifecycle management, and real-world forecasting solutions.

Key Responsibilities
Design, develop, deploy, and maintain production-grade machine learning and generative AI solutions.
Build LLM-powered applications using LangChain, LangGraph, RAG, tool calling, and agentic workflows.
Design multi-step AI workflows involving planning, reasoning, retrieval, memory, validation, guardrails, and human approval.
Develop and optimize machine learning models for classification, regression, predictive analytics,



and forecasting.
Manage the complete machine learning lifecycle, including data preparation, experimentation, validation, deployment, monitoring, and retraining.
Build scalable model-serving APIs, AI microservices, and application integrations.
Establish CI/CD pipelines for machine learning and generative AI applications.
Implement model and dataset versioning, experiment tracking, model registries, governance, and release-management processes.
Evaluate LLM and RAG systems for relevance, factuality, latency, cost, safety, reliability, and hallucination risk.
Develop demand, sales, inventory, revenue, capacity, workforce, resource, and time-series forecasting solutions.
Monitor model performance, data drift, system reliability, and production issues.
Optimize deployed models and resolve performance, scalability, and accuracy issues.
Collaborate with product, engineering, data, and busi

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