Candidates with Data Engineering, Analytics Engineering, Data Science, or Advanced Analytics backgrounds who have demonstrated experience building AI, automation, or Generative AI solutions are strongly encouraged to apply.nnnImpact You Will MakenJoin a growing team of AI Engineers, Data Engineers, and Data Scientists focused on transforming healthcare revenue cycle management through Generative AI, Agentic AI, automation, and analytics.nnnThis role is designed for talented Data Engineers, Analytics Engineers, or Data Analysts who are passionate about Artificial Intelligence and want to transition into AI Engineering. You will work alongside experienced AI practitioners to build intelligent solutions that leverage healthcare data, automation platforms, large language models (LLMs), and contemporary cloud technologies.nnnYou will help design, develop, and deploy AI-powered applications while expanding your expertise in machine learning, Generative AI, Agentic AI, and MLOps.nnnWhat You Will DonPartner with AI Engineers and Data Scientists to build and deploy AI-powered solutions in production environments.nnnDesign and develop data pipelines that support machine learning and AI workloads.nnnBuild and maintain integrations between AI solutions and existing business applications.nnnAssist in developing Agentic AI workflows, AI copilots, intelligent automation solutions, and document intelligence systems.nnnSupport model deployment, monitoring, and operationalization through MLOps best practices.nnnDevelop Python-based applications, APIs, and services that leverage AI technologies.nnnLearn and apply prompt engineering, retrieval-augmented generation (RAG), vector databases, and LLM-based solution design.nnnParticipate in code reviews and maintain high standards for quality, security, and scalability.nnnCollaborate closely with Product, Engineering,



and Business stakeholders to identify opportunities for AI-driven innovation.nnnStay current with emerging AI technologies and proactively evaluate opportunities to apply them within FinThrive.nnnWhat You WillnBringnRequired QualificationsnBachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field.nnn3+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or Data Analytics.nnnStrong SQL and Python programming skills.nnnExperience working with data warehouses, ETL pipelines, and large-scale datasets.nnnExperience with Azure, Databricks, Spark, or other cloud-based data platforms.nnnFamiliarity with REST APIs and software development best practices.nnnExperience working in Agile software development environments.nnnStrong analytical, troubleshooting, and problem-solving abilities.nnnExcellent communication and collaboration skills.nnnPreferrednQualificationsnExperience building AI projects, chatbots, copilots, recommendation systems, or automation solutions.nnnExposure to Azure OpenAI, OpenAI, Anthropic, Hugging Face, LangChain, or similar AI platforms.nnnExperience with document intelligence, OCR, or unstructured data processing.nnnKnowledge of vector databases, embeddings, semantic search, or retrieval-augmented generation (RAG).nnnExperience with CI/CD, Azure DevOps, GitHub Actions, Terraform, or infrastructure automation.nnnFamiliarity with machine learning concepts and model lifecycle management.nnnHealthcare industry experience is a plus.nnnWhat Success LooksnLikenWithin your first year, you will:nnnSuccessfully contribute to production AI projects.nnnBuild and deploy AI-enabled workflows and applications.nnnDevelop proficiency in Generative AI and Agentic AI development practices.nnnPartner with senior AI Engineers to expand FinThrive's enterprise AI capabilities.nnnDemonstrate the ability to independently design and deliver AI-powered business solutions. .

📌 AI Engineer (Data Engineering Pathway) (Gurugram)
🏢 Finthrive India
📍 Gurugram