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Company Description Bhavitha Tech is a digital transformation services company specializing in Application Modernization, Custom Product Development, AWS Cloud Consulting and Managed Services, Industrial 4.0 IoT, Consumer IoT, and ERP implementation and support. The company is providing services for Kellton Tech Solutions, Gadgeon Smart Systems, Steel Authroity of India Limited(SAIL), Attorney General of India(AGI), Baker Real Estate, Terex Corporation, Andersen Nangia Co LLP, Ather Energy, and Karnataka State Finance, and with more than 20 startups and SMEs across North America, Europe and India. As an AWS Services Select Partner, Bhavitha Tech delivers cloud-native application development, DevOps, cost optimization, security, and scalability solutions. The team provides 24/7 monitoring and support services, offering candidates exposure to complex, high-impact projects in modern cloud and IoT ecosystems.
Role Description
Key activities include collaborating with cross-functional teams, including product owners and safeguard specialists, to architect, build, and test full-stack AI components and backend services. S/He will be tasked with developing structure-aware document processing, components, configuring hybrid keyword and vector retrieval layers, constructing API endpoints and queue workers, and implementing, schema and citation validators. Additionally, the engineer will configure Azure cloud resources, integrate Dataverse and Power Platform workflows, optimize system throughput and token usage, and participate in UAT release hardening to deliver a defensible, production-grade review engine.
Qualifications and Experience
The candidate must possess a minimum of a bachelor’s degree in Control and Automation Engineering, Computer Science, Information Technology, or a related engineering discipline. The candidate should have at least 6 years of professional experience in full-stack AI and software engineering, with a strong track record of leading AI technical teams and engineering generative AI, NLP, computer vision, and large-scale data systems.
● The candidate should demonstrate a proven track record of delivering high-quality, scalable, and secure AI software solutions, including production platforms serving enterprise user bases.
Deep expertise in RAG architecture design, vector search, hybrid retrieval, and enterprise search platforms utilizing Azure
AI Search, Azure OpenAI, and custom embedding models.
● Strong full-stack engineering proficiency in TypeScript, JavaScript, Python, Node.js/NestJS, and modern web frameworks
(React).
● Proven experience with cloud-native application development on Microsoft Azure, including Azure Container Apps,
Service Bus, Key Vault, and Microsoft Foundry endpoints.
● Extensive experience in Intelligent Document Processing (IDP), document layout parsing, structure-aware chunking, and
text extraction (supported by published research in optical character recognition and text recognition).
● Hands-on experience designing relational data models in Dataverse and integrating AI calls within Microsoft Power
Platform environments (Power Apps, Power Automate).
● Practical experience building automated evaluation harnesses, citation validators, structured output schema enforcement,
and telemetry monitoring using Application Insights and Log Analytics.
Peer-reviewed research publications in computer vision, neural networks, or text recognition algorithms.
● Prior experience serving as an AI Technical Lead or Data Science Lead guiding architectural decisions, model evaluation,
and production optimization.
● Demonstrated hands-on experience delivering AI solutions within ADB’s tenant environment, holding an active ADB
account and familiar with Power Platform and Azure AI integrations.
● Experience with containerization tools (Docker), CI/CD build pipelines, and automated testing frameworks.
Work Arrangements
● Hybrid, requiring contractors to report onsite three times a week. If the user unit requires contractors to report to HQ for more than 3 days, compliance is mandatory.
● Work Schedule is from 8:00AM – 5:00PM Manila Time.
Work arrangement
No
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