Website:
dhanam.cloud
Job details:
Job Title
Senior AI Engineer – Enterprise Data Management (Offshore)
Location: Dindigul, Tamil Nadu, India (Onsite)
Company: Dhanam Cloud Computing Pvt. Ltd.
About the Role
Dhanam Cloud Computing is building next-generation AI-powered Enterprise Data Management solutions for global customers. We are looking for a highly motivated AI Engineer who combines strong software engineering skills with deep expertise in cloud platforms and enterprise data management.
This role is part of our Offshore Research & Development Lab in Dindigul, where you will design, develop, and build reusable AI frameworks, accelerators, and intelligent agents that can be leveraged across multiple customer engagements and internal products.
This is a hands-on engineering role focused on innovation, product development, and applied AI.
Key Responsibilities
- Design and develop AI-powered enterprise applications and reusable frameworks.
- Build intelligent AI agents using modern LLM technologies and agentic AI frameworks.
- Develop enterprise-grade solutions for:
- Data Integration
- Data Quality
- Master Data Management (MDM)
- Data Governance
- Metadata Management
- Data Catalog
- Data Observability
- Create AI accelerators that automate data engineering and governance tasks.
- Develop cloud-native applications on AWS.
- Build REST APIs, microservices, and scalable backend services.
- Integrate AI models with enterprise data platforms.
- Build Retrieval-Augmented Generation (RAG) applications using enterprise knowledge.
- Fine-tune prompts and implement prompt engineering best practices.
- Develop reusable components for internal AI platforms.
- Work closely with architects and customer-facing consultants to convert business problems into AI solutions.
- Research emerging AI technologies and rapidly prototype new capabilities.
- Contribute to product innovation for Dhanam Cloud's AI initiatives.
Required Technical SkillsArtificial Intelligence
- Large Language Models (OpenAI, Anthropic, Gemini, Llama, etc.)
- Prompt Engineering
- RAG Architecture
- AI Agents / Agentic AI
- MCP (Model Context Protocol)
- Function Calling
- Vector Databases
- Embeddings
- Semantic Search
- AI Workflow Automation
Programming
- Python (Expert)
- SQL
- REST APIs
- FastAPI / Flask
- JavaScript or TypeScript (preferred)
Cloud Technologies
Strong hands-on experience in AWS including:
- Lambda
- API Gateway
- ECS/EKS
- EC2
- S3
- IAM
- CloudWatch
- Bedrock
- Step Functions
- EventBridge
- DynamoDB
- RDS
- Secrets Manager
Knowledge of Azure or GCP is a plus.
Enterprise Data Management
Hands-on experience in one or more of the following:
- Informatica Intelligent Data Management Cloud (IDMC)
- Informatica CDI
- CAI
- CDQ
- Cloud Data Governance & Catalog (CDGC)
- MDM / Customer 360
- Data Governance
- Metadata Management
- Reference Data Management
- Enterprise Data Catalog
- Data Lineage
- Data Quality
Modern Data Platforms
Experience with:
- Databricks
- Apache Spark
- Delta Lake
- Snowflake
- Microsoft Fabric (preferred)
Databases
- PostgreSQL
- SQL Server
- Oracle
- MySQL
- MongoDB
- Vector databases (Pinecone, Weaviate, Chroma, Milvus, FAISS)
DevOps
- Git
- GitHub
- Docker
- Kubernetes (preferred)
- CI/CD pipelines
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 5–10 years of software engineering experience.
- Minimum 2 years of hands-on experience building AI applications using LLMs.
- Experience with enterprise data management platforms is highly preferred.
- Experience delivering cloud-native enterprise applications.
What We're Looking For
The ideal candidate is someone who:
- Thinks like a product engineer rather than a project developer.
- Enjoys solving complex enterprise data problems.
- Can build reusable frameworks instead of one-off solutions.
- Learns new AI technologies quickly.
- Has strong analytical and problem-solving skills.
- Writes clean, maintainable, production-quality code.
- Takes ownership from concept to deployment.
- Has excellent communication and collaboration skills.
Nice to Have
- Informatica certifications
- Databricks certifications
- AWS Certifications
- Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or similar frameworks
- Knowledge of GraphRAG and Knowledge Graphs
- Experience building enterprise copilots
- Experience with multi-agent systems
- Understanding of healthcare, financial services, or manufacturing data domains
Why Join Dhanam Cloud?
At Dhanam Cloud, you won't just build software—you'll build the future of Enterprise AI.
You'll work on cutting-edge initiatives involving:
- AI-powered Enterprise Data Management
- Intelligent Data Governance
- Autonomous Data Quality
- Enterprise AI Agents
- Healthcare AI Platforms
- Cloud-native Enterprise Solutions
- Product Innovation and Research
- This role offers the opportunity to shape reusable intellectual property, influence product strategy, and work on technologies that will be deployed across global customer engagements.
Click on Apply to know more.