# AI/ML Engineer (Generative AI | Agentic AI | Azure AI)
**Employment Type:** C2C (Contract)
**Experience:** 4–5+ Years
**Work Model:** Hybrid (Pan India – 2 to 3 Days/Week from Office)
**Working Hours:** 11:00 AM – 9:00 PM IST
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## Job Summary
We are looking for a passionate and hands-on **AI/ML Engineer** with strong expertise in **Machine Learning, Generative AI (GenAI), Agentic AI, and Microsoft Azure AI platforms**. The ideal candidate will have experience designing, developing, and deploying scalable AI-powered applications using modern ML frameworks, Large Language Models (LLMs), and cloud-native technologies.
You will work closely with engineering and research teams to build intelligent AI agents, production-grade machine learning pipelines, and enterprise AI solutions while leveraging Azure AI services and modern MLOps practices.
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## Key Responsibilities
* Design, build, and deploy production-ready Machine Learning models and AI-powered applications.
* Develop and implement Generative AI (GenAI) solutions using Large Language Models (LLMs).
* Build intelligent AI agents and agentic workflows using modern AI orchestration frameworks.
* Design Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.
* Integrate AI capabilities into enterprise applications through REST APIs and microservices.
* Deploy and manage ML workloads on Microsoft Azure AI and Data platforms.
* Develop scalable ML pipelines using Azure Databricks, Microsoft Fabric, Azure AI Services, and Azure Machine Learning.
* Implement AI safety, guardrails, monitoring, explainability, and Responsible AI practices.
* Optimize model performance through evaluation, experimentation, prompt engineering, and continuous improvement.
* Collaborate with Data Engineers, Backend Developers, Product Teams, and Solution Architects to deliver AI-driven business solutions.
* Participate in Proof of Concepts (PoCs), innovation initiatives, and rapid prototyping.
* Follow software engineering best practices, CI/CD pipelines, version control, and MLOps standards.
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## Required Skills
### AI & Machine Learning
* Machine Learning
* Deep Learning
* Supervised & Unsupervised Learning
* Model Training & Evaluation
* Feature Engineering
* Model Deployment
* TensorFlow
* PyTorch
* Scikit-learn
### Generative AI
* Large Language Models (LLMs)
* Prompt Engineering
* Retrieval-Augmented Generation (RAG)
* Embeddings
* Vector Databases
* AI Agents
* Agentic AI
* Azure OpenAI
### Agent Frameworks
* LangChain
* LangGraph
* Semantic Kernel
* CrewAI
* AutoGen
### Programming
* Python
* Pandas
* NumPy
* FastAPI / Flask
* REST APIs
### Azure AI & Cloud
* Microsoft Azure
* Azure OpenAI Service
* Azure AI Services
* Azure Machine Learning
* Azure Databricks
* Microsoft Fabric
* Azure AI Foundry
* Azure Storage
### MLOps & DevOps
* Docker
* Kubernetes
* Git
* CI/CD Pipelines
* MLflow
* Model Monitoring
* Model Registry
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## Preferred Skills
* Reinforcement Learning
* AI Safety & Responsible AI
* Knowledge Graphs
* Semantic Search
* Multi-Agent Systems
* Vector Databases (Pinecone, FAISS, ChromaDB, Azure AI Search)
* Prompt Optimization
* Fine-Tuning LLMs
* Cloud-native AI application development
* Enterprise AI implementations
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## Qualifications
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
* 4–5+ years of professional experience in AI/ML Engineering or Software Development.
* Strong programming expertise in Python.
* Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or equivalent ML frameworks.
* Experience building and deploying Machine Learning models in production environments.
* Practical experience with Generative AI, LLMs, and AI Agent development.
* Hands-on experience with Microsoft Azure AI and cloud-native application development.
* Strong understanding of REST APIs, Microservices, and distributed systems.
* Experience with Docker, Kubernetes, and modern CI/CD pipelines.
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## Preferred Candidate Profile
* Experience implementing enterprise-scale AI and GenAI solutions.
* Hands-on experience with Azure OpenAI Service and Microsoft AI ecosystem.
* Knowledge of Agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
* Experience with RAG architectures, vector databases, embeddings, and AI orchestration.
* Familiarity with MLOps, model governance, monitoring, and Responsible AI principles.
* Excellent analytical, communication, and problem-solving skills.
* Ability to work independently in a collaborative Agile environment.
## Key Skills
**Python | Machine Learning | Deep Learning | TensorFlow | PyTorch | Scikit-learn | Generative AI | Large Language Models (LLMs) | Agentic AI | AI Agents | LangChain | LangGraph | Semantic Kernel | CrewAI | AutoGen | Prompt Engineering | RAG | Embeddings | Vector Databases | Azure OpenAI | Microsoft Azure | Azure AI Services | Azure Machine Learning | Azure Databricks | Microsoft Fabric | Azure AI Foundry | Docker | Kubernetes | REST APIs | FastAPI | MLOps | CI/CD | MLflow**
Pay: ₹70,000.00 - ₹90,000.00 per month
Experience:
- AI/ML Engineer (Generative AI | Agentic AI | Azure AI): 4 years (Required)
Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru, Bengaluru Urban District)
