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UIDM

GenAI / Cloud / Terraform EngineerLocation: Hyderabad (Onsite &ndash; 5 Days/Week)Employment Type: C2CPriority: P1Experience: 6+ YearsJob SummaryWe are seeking an experienced GenAI / Cloud / Terraform Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and cloud-native technologies. The ideal candidate will have strong expertise in Generative AI, cloud platforms (Azure preferred), Infrastructure as Code (Terraform), and agent orchestration frameworks to build scalable, secure, and reusable AI capabilities.Experience RequiredTotal IT Experience: 6+ YearsGenerative AI: 3+ YearsCloud Platforms (Azure/AWS/GCP): 5+ YearsTerraform: 2+ YearsKey ResponsibilitiesDesign, develop, and deploy enterprise AI/ML solutions using approved AI technologies and cloud platforms.Build reusable AI capabilities, including copilots, AI agents, APIs, plugins, and domain-specific automation components.Develop and operationalize AI-powered applications such as coding assistants, recommendation engines, enterprise search assistants, and workflow automation solutions.Design and implement Retrieval-Augmented Generation (RAG) solutions for text-to-code, diagram-to-code, knowledge retrieval, recommendation systems, and enterprise automation.Develop AI-powered search solutions, chatbots, and REST APIs to improve business productivity and user experience.Design and implement AI agent-based systems featuring:Tool invocation and function callingMulti-step reasoning workflowsAutonomous task executionDevelop scalable AI solutions using OpenAI, LLMs, vector databases, embeddings, and indexing techniques.Build and deploy AI workloads on cloud platforms, preferably Azure (AWS experience is also acceptable).Develop and maintain MCP Servers for seamless integration with AI agents (e.g., Copilot Agent Mode).Create reusable Terraform modules and Infrastructure as Code (IaC) frameworks for AI infrastructure.Ensure secure coding standards, monitoring, logging, and operational excellence across AI applications.Required SkillsGenerative AIStrong expertise in:Large Language Models (LLMs)OpenAIGenerative AIRetrieval-Augmented Generation (RAG)AI AgentsExperience building enterprise AI skills such as copilots, agents, APIs, reusable services, and plugins.Hands-on experience with vector databases and semantic search implementations.Experience with AI evaluation frameworks such as:RAGASDeepEvalExperience implementing model fine-tuning techniques including:LoRAQLoRAAI Agent FrameworksExperience with one or more of:LangGraphAutoGenCrewAIProgrammingStrong proficiency in at least one of:Python.NETNode.jsCloud &amp; InfrastructureAzure (Preferred)AWS (Acceptable)Terraform (Infrastructure as Code)AI IntegrationMCP Server developmentFunction CallingTool InvocationAgent OrchestrationAPI DevelopmentPreferred QualificationsExperience building enterprise AI platforms or reusable AI frameworks.Experience creating AI skill catalogs or internal developer platforms.Experience developing reusable Terraform frameworks.Experience standardizing Infrastructure as Code across enterprise teams.Strong understanding of secure coding practices.Experience with monitoring and observability tools such as Splunk.Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Nice to HaveAzure OpenAI ServicesAzure AI FoundryAzure AI SearchKubernetes (AKS/EKS)DockerCI/CD PipelinesGitHub Actions or Azure DevOpsPrompt EngineeringModel Evaluation &amp; GuardrailsWork Location: In person

GEN AI  CLOUD TERRAFORM ENGINEER

We're Hiring: AI/ML Engineer (6&ndash;8 Years Experience)Are you passionate about building intelligent AI solutions and next-generation AI agents? We're looking for an experienced AI/ML Engineer to join our growing team and work on cutting-edge AI projects.Key Skills Required:✅ Strong proficiency in Python ✅ Hands-on experience in creating AI Agents ✅ Experience in developing, training, and deploying AI/ML models ✅ Strong SQL skills for data analysis and database management ✅ Knowledge of LLMs, Generative AI, and AI frameworks is a plus ✅ Excellent problem-solving and analytical abilitiesExperience:6&ndash;8 YearsWhat You'll Do:Design and develop AI-powered applications and intelligent agents.Build, train, and optimize machine learning models.Work with large datasets using SQL and Python.Collaborate with cross-functional teams to deliver scalable AI solutions.Stay up to date with the latest advancements in AI and machine learning.Work Location: Remote

AI/ML Engineer

Data EngineerJob SummaryWe are seeking an experienced Data Engineer with 6+ years of hands-on experience in designing, developing, and maintaining enterprise data solutions. The ideal candidate will have strong expertise in ETL/ELT development, data integration, and modern data engineering practices. You will work closely with business stakeholders, analytics teams, and data scientists to build scalable, high-performance data pipelines that support reporting, analytics, and AI-driven initiatives.Key Responsibilities<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data processing and analytics.</li><li>Perform data ingestion, transformation, cleansing, and integration across multiple data sources and business domains.</li><li>Build and optimize data pipelines to ensure high performance, reliability, and scalability.</li><li>Support ongoing data engineering operations, production support, and reporting workflows.</li><li>Collaborate with business, analytics, and cross-functional teams to understand data requirements and deliver robust data solutions.</li><li>Enable investigative analytics for business use cases such as fraud detection, waste reduction, and operational insights.</li><li>Work with modern data engineering and analytics tools to accelerate data discovery and ensure data accuracy.</li><li>Monitor and improve data quality, governance, reliability, and pipeline performance.</li><li>Participate in data model design, workflow optimization, and continuous process improvements.</li><li>Support both production and non-production environments while adhering to operational best practices.</li><li>Troubleshoot data issues and perform root cause analysis for pipeline failures.</li></ul>Required Skills &amp; Experience<ul><li>6+ years of experience in Data Engineering with strong ETL/ELT development expertise.</li><li>Strong experience with SQL and relational databases.</li><li>Hands-on experience with Python or Scala for data processing.</li><li>Experience building and maintaining ETL/ELT pipelines using modern data integration tools.</li><li>Strong understanding of data warehousing concepts and dimensional modeling.</li><li>Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Knowledge of distributed data processing frameworks such as Apache Spark.</li><li>Experience with orchestration tools like Apache Airflow, Azure Data Factory, or similar.</li><li>Familiarity with version control systems such as Git.</li><li>Strong understanding of data quality, data governance, and performance optimization.</li><li>Experience supporting enterprise reporting and analytics solutions.</li><li>Exposure to AI-enabled analytics and modern data exploration tools is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul>Work Location: Remote

Senior Data Engineer

Join UIDM and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

UIDM

About Company

GEN AI CLOUD TERRAFORM ENGINEER

AI/ML Engineer

Senior Data Engineer