About the Role
Job Title
Senior AI Engineer – Enterprise Data Management (Offshore)
Location: Dindigul, Tamil Nadu, India (Onsite)
Company: RCTECH Solutions & Dhanam Cloud Computing Pvt. Ltd.
About the Role
RCTECH Solutions Inc and 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 IntegrationData QualityMaster Data Management (MDM)Data GovernanceMetadata ManagementData CatalogData ObservabilityCreate 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 Skills
Artificial IntelligenceLarge Language Models (OpenAI, Anthropic, Gemini, Llama, etc.)Prompt EngineeringRAG ArchitectureAI Agents / Agentic AIMCP (Model Context Protocol)Function CallingVector DatabasesEmbeddingsSemantic SearchAI Workflow AutomationProgrammingPython (Expert)SQLREST APIsFastAPI / FlaskJavaScript or TypeScript (preferred)Cloud TechnologiesStrong hands-on experience in AWS including:
LambdaAPI GatewayECS/EKSEC2S3IAMCloudWatchBedrockStep FunctionsEventBridgeDynamoDBRDSSecrets ManagerKnowledge of Azure or GCP is a plus.
Enterprise Data ManagementHands-on experience in one or more of the following:
Informatica Intelligent Data Management Cloud (IDMC)Informatica CDICAICDQCloud Data Governance & Catalog (CDGC)MDM / Customer 360Data GovernanceMetadata ManagementReference Data ManagementEnterprise Data CatalogData LineageData QualityModern Data PlatformsExperience with:
DatabricksApache SparkDelta LakeSnowflakeMicrosoft Fabric (preferred)DatabasesPostgreSQLSQL ServerOracleMySQLMongoDBVector databases (Pinecone, Weaviate, Chroma, Milvus, FAISS)DevOpsGitGitHubDockerKubernetes (preferred)CI/CD pipelinesQualificationsBachelor'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 ForThe 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 HaveInformatica certificationsDatabricks certificationsAWS CertificationsExperience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or similar frameworksKnowledge of GraphRAG and Knowledge GraphsExperience building enterprise copilotsExperience with multi-agent systemsUnderstanding of healthcare, financial services, or manufacturing data domainsWhy 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 ManagementIntelligent Data GovernanceAutonomous Data QualityEnterprise AI AgentsHealthcare AI PlatformsCloud-native Enterprise SolutionsProduct Innovation and ResearchThis role offers the opportunity to shape reusable intellectual property, influence product strategy, and work on technologies that will be deployed across global customer engagements.