Artificial Intelligence Engineer
Actively Reviewing the ApplicationsInnova ESI
India, Maharashtra
Full-Time
On-site
Posted 1 day ago
•
Apply by June 10, 2026
Job Description
Technical Skills – Mandatory
AI & LLM Engineering:
- • Agentic AI frameworks: LangGraph, LangChain Agents, multi-agent orchestration.
- • RAG expertise including Standard RAG, Agentic RAG, and Graph RAG.
- • LLM API integration with Azure OpenAI, OpenAI, Anthropic.
- • Prompt engineering, structured outputs, and evaluation frameworks.
- • Vector databases such as Azure AI Search, Pinecone, Chroma, and Weaviate.
Machine Learning (Enterprise-Level Models):
- • Prophet – enterprise-grade time series forecasting.
- • XGBoost – widely used for high-performance tabular ML.
- • LightGBM – optimized boosting framework for large-scale training.
- • CatBoost – efficient model for categorical-heavy datasets.
- • ARIMA/SARIMAX – classical models for financial and operational forecasting.
- • Neural Networks using PyTorch or TensorFlow.
- • Hugging Face transformer models including BERT, RoBERTa, and others.
- • AutoML frameworks such as Azure AutoML or H2O Driverless AI.
- • Embedding models including text-embedding-3-large, Instructor-XL, and E5-large.
Cloud, DevOps & Deployment (Azure):
- • Azure Container Apps.
- • Docker with multi-stage builds.
- • Kubernetes / AKS.
- • Redis Cache.
- • Cosmos DB.
- • GitHub Actions / Azure DevOps CI/CD.
- • Application Insights and Azure Monitor for observability.
Required Skills
Machine Learning
Engineering
Forecasting
API Integration
Training
Redis
Docker
Kubernetes
GitHub
TensorFlow
PyTorch
Neural Networks
Azure
Azure DevOps
GitHub Actions
XGBoost
LightGBM
CatBoost
LangChain
AutoML
DevOps
CI/CD
Anthropic
RAG
Orchestration
Graph
Vector
Pinecone
Azure OpenAI
Chroma
ARIMA
Embedding
OpenAI
Time series forecasting
Transformer
Framework
Cache
Prompt engineering
BERT
Transformer Models
Observability
Weaviate
Container
Boosting
Redis Cache
LLM
Agentic AI
Application Insights
Vector Databases
Agentic RAG
Azure Monitor
AKS
Langgraph
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