About the Role

We are looking for an innovative and highly skilled AI Engineer to join our growing AI & Data Engineering team. In this role, you will design, develop, and deploy cutting-edge Artificial Intelligence and Machine Learning solutions that solve real-world business problems and transform customer and employee experiences.

You will work on enterprise-scale AI initiatives involving Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, MLOps, and Cloud AI Platforms. This is an exciting opportunity for professionals passionate about building production-ready AI systems and shaping the future of intelligent applications.

Key Responsibilities

Generative AI & LLM Development

- Design, build, and deploy enterprise-grade AI and ML solutions using modern AI frameworks.
- Develop applications powered by Large Language Models (LLMs) including OpenAI GPT, Azure OpenAI, Anthropic Claude, Llama, and similar foundation models.
- Build scalable Retrieval-Augmented Generation (RAG) architectures using vector databases and embedding models.
- Fine-tune, optimize, and evaluate LLMs for enterprise use cases.

Machine Learning & Data Engineering

- Build and deploy machine learning models for predictive analytics, NLP, recommendation systems, and intelligent automation.
- Perform feature engineering, data preprocessing, vectorization, and model training on structured and unstructured datasets.
- Develop scalable data pipelines for model training, inference, and continuous learning.

Cloud AI & MLOps

- Deploy AI workloads on Azure, AWS, or Google Cloud Platform.
- Build production-ready AI microservices using Python, REST APIs, Docker, and Kubernetes.




- Implement CI/CD pipelines and MLOps best practices using tools such as MLflow, Kubeflow, Azure ML, SageMaker, or Databricks.
- Monitor model performance, drift, logging, observability, and automate retraining workflows.

Enterprise AI Integration

- Integrate AI services with enterprise applications and cloud ecosystems.
- Collaborate with cross-functional teams including Product, Data Engineering, Business, and Solution Architecture.
- Conduct Proof of Concepts (POCs), technical demonstrations, and solution design workshops.
- Ensure AI solutions adhere to enterprise security, governance, compliance, and Responsible AI principles.

Required Skills & Qualifications

Must-Have Skills

- 5–8 years of hands-on experience in AI/ML Engineering or Data Science.
- Strong programming expertise in Python.
- Experience with:
- NumPy
- Pandas
- PyTorch
- TensorFlow
- Hugging Face Transformers
- Hands-on experience with Large Language Models (LLMs):
- OpenAI
- Azure OpenAI
- Anthropic Claude
- Meta Llama
- Strong understanding of:
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Embeddings & Vector Search
- Transformer Architectures
- Experience building RAG (Retrieval-Augmented Generation) solutions.

Cloud & DevOps

Hands-on experience with one or more cloud platforms:

- Microsoft Azure




- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)

Knowledge of:

- Azure AI Services
- Azure Machine Learning
- AWS SageMaker
- Serverless Computing
- REST APIs
- Docker
- Kubernetes

Vector Databases

Experience working with one or more:

- Pinecone
- ChromaDB
- FAISS
- Weaviate
- Azure AI Search

MLOps Experience

Experience with:

- MLflow
- Kubeflow
- Azure Machine Learning
- Amazon SageMaker
- Databricks

Understanding of:

- CI/CD for Machine Learning
- Model Registry
- Model Monitoring
- Drift Detection
- Experiment Tracking
- Production Deployment

Preferred Qualifications

- Experience building AI Agents or Agentic AI workflows.
- Knowledge of LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
- Experience with prompt engineering and AI evaluation frameworks.
- Familiarity with graph databases such as Neo4j.
- Exposure to multi-agent AI systems.
- Experience in enterprise AI solution architecture.
- Azure AI Engineer, AWS ML Specialty, or GCP Professional ML certifications are a plus.

What We're Looking For

We're seeking someone who is:

- Passionate about Artificial Intelligence and emerging technologies.
- A problem solver with strong analytical thinking.
- Experienced in building scalable production-grade AI applications.
- Comfortable collaborating with cross-functional teams and business stakeholders.
- Curious, cutting-edge, and eager to learn new AI technologies.

Pay: ₹100,000.00 - ₹120,000.00 per month

Benefits:

- Flexible schedule

Experience:

- proficiency in Python, NumPy, Pandas, PyTorch, TensorFlow: 5 years (Required)

Work Location: Remote

📌 AI Engineer (Generative AI | LLM | Machine Learning | MLOps | Cloud) (India)
🏢 Arohanam Consulting
📍 India