We are seeking a Lead Business Analyst / Product Manager (Director of Execution) to define, drive, and deliver product innovation across our AI-driven analytics and risk adjustment platform. This is a high-impact hybrid role combining business analysis, product strategy, and project execution, ideal for a results-oriented professional with deep experience in US healthcare technology, product lifecycle management, and stakeholder engagement. You will act as the strategic link between engineering, clinical, and client teams, ensuring timely execution of product roadmaps and aligning delivery with market needs, client feedback, and organizational priorities. This position is critical in translating clinical-AI capabilities into scalable, usable features that improve care quality and revenue outcomes for our clients.
Role & responsibilities We are seeking a highly skilled, hands-on Lead Software Engineer / Manager Product Development / Director of Engineering (Depends on Experience) to lead, architect, and deploy scalable, secure, and AI-driven enterprise solutions on Microsoft Azure . This is a strategic yet hands-on leadership role where you will drive innovation, mentor teams, and build cutting-edge AI-enabled products for the US healthcare industry. The ideal candidate is a self-starter, passionate about software engineering and AI , with a strong background in start-ups and a track record of successfully delivering enterprise-grade cloud-based applications . You will play a critical role in designing, developing, and scaling our next-generation products, leveraging Python, ReactJS, MongoDB, FASTAPI , and LLMs on Azure enterprise platforms . This is an immediate need for a dynamic leader who thrives in a fast-paced, high-impact environment. Preferred candidate profile Technical Leadership & Architecture : Design, develop, and lead the end-to-end architecture of scalable AI-powered enterprise solutions on Microsoft Azure . Hands-on Development : Actively contribute to coding, debugging, and system optimization while mentoring and guiding engineering teams. Cloud & AI Integration : Deploy and manage AI/LLM-based solutions on Azure cloud infrastructure , ensuring security, scalability, and efficiency. Azure Enterprise Deployment : Configure and manage Azure App Services, VMs, Databases, AI/ML tools , and other enterprise-grade cloud solutions. Collaboration & Mentorship : Work closely with product teams, stakeholders, and engineers to align technical solutions with business objectives. Performance & Optimization : Continuously monitor, troubleshoot, and optimize cloud-based applications for cost-efficiency and reliability. 8+ years of experience in enterprise software development , with at least 5+ years leading teams and architecting cloud solutions . Proven expertise in Python, ReactJS, FASTAPI, MongoDB/CosmosDB , and deploying AI-based solutions (LLMs) on AWS/Azure US Healthcare Technology experience is a strong plus , including familiarity with compliance and data security in healthcare.
Python developer working on EDI (Electronic Data Interchange) 837, 999, and 277 files. The ideal candidate will have extensive experience in healthcare billing, claims processing, and understanding EDI 837 Companion Guide Required Candidate profile Python Programming, Healthcare claims (837,999, 277 files), MongoDB, SQL
Role & responsibilities Skilled in Python, SQL/NoSQL, AI/ML fundamentals, Natural Language processing techniques, supervised fine-tuning, unsupervised clustering, regression techniques. develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG Preferred candidate profile Must be 2025 Graduate Only. Must be familiar with LLM -based Retrieval-based pipelines from complex metadata in documents (e.g., free form text, tables and figures), prompting approaches (e.g., React, multimodal-react, thought-prompting etc.) and conversational Human/Assistant dialogues to generate responses that are factually correct and may involve multi-step reasoning
* Setup Intune policies & join laptops to domain Manage user profiles & permissions * Configure device management settings * Provide technical support for Intune issues Expected to be 1-2 days on 1st-2nd July
Join Health Data Max as an Operations & Growth Analyst to support sales, marketing, and daily ops for our healthcare AI startup. Ideal for recent grads or MBAs in Hyderabad passionate about tech, healthcare, and startups. Required Candidate profile Seeking recent grads/MBAs with 0–2 yrs experience in sales, marketing, or ops. Bonus: experience with CRM tools, Canva, LinkedIn outreach, or healthcare/AI certifications.
Seeking a contract-based IT Admin with hands-on experience in Microsoft Intune for laptop provisioning and device policy setup. Must configure Windows laptops, enforce security policies, and support remote management. 2+ yrs experience required. Required Candidate profile IT Admin (contract) with 2+ yrs experience in Microsoft Intune, MDM, and Windows 10/11 provisioning. Must know device enrollment, compliance policies, Autopilot, and conditional access.
Seeking Lead/Manager/Director to build and scale healthcare AI products on Azure. Role spans architecture, DevOps, and secure deployment with Python, FastAPI, ReactJS, MongoDB, and LLMs. Manage team of developers/QA/BAs Required Candidate profile Proven 5+ yrs in Python, ReactJS, CosmosDB, Azure DevOps, and LLM apps. Startup-ready leader with healthcare/EDI 837 expertise, cloud knowledge, and ability to deliver enterprise-grade solutions Perks and benefits Startup culture. Plenty of opportunities to grow.
Join Health Data Max as an Operations & Growth Analyst to support sales, marketing, and daily ops for our healthcare AI startup. Ideal for recent engg grads or MBAs in Hyderabad passionate about tech, healthcare, and startups. Required Candidate profile Seeking recent grads/MBAs with 1–3 yrs experience in sales, marketing, or ops. Bonus: experience with CRM tools, Canva, LinkedIn outreach, or healthcare/AI certifications.
Role & responsibilities Build, test and deploy Python-based SDKs, APIs and microservices for generative/agentic workflows: retrieval-augmented-generation (RAG), multimodal text/chart/table ingestion, conversational human-assistant dialogues. Implement, fine-tune and optimise machine-learning / deep-learning models: supervised fine-tuning of LLMs, unsupervised clustering, regression & classification on health-data pipelines. Work on retrieval pipelines: indexing large metadata-rich documents (free-form text, tables, figures), designing prompting strategies (e.g., ReAct, multimodal-ReAct, thought-prompting) and building reasoning agents that deliver factually accurate, multi-step responses for HCC capture, encounter reconciliation, audit readiness. Collaborate with cross-functional teams (data engineers, product, domain experts) to integrate models into HDMs risk-adjustment and value-based care platform. Continuously monitor, evaluate and improve model performance in production: e.g., retrieval accuracy, coherence, factuality, latency, auditability. Preferred candidate profile 1-2 years of hands-on experience in Python software development. Solid fundamentals in data science: statistics, regression/classification, clustering, model evaluation metrics. Experience with SQL and/or NoSQL databases. Familiarity with natural-language processing techniques (tokenization, embedding, retrieval, transformer architectures). Understanding of large language models (LLMs) and retrieval-based pipelines. Enthusiasm for building end-to-end AI systems (not just prototyping) from ingestion to inference to API. Strong problem-solving mindset, ability to work in a fast-paced start-up environment, and willingness to learn deeply. Experience/configuration in RAG pipelines from complex metadata in documents (e.g., free-form text + tables/figures). Hands-on with advanced prompting approaches: ReAct (Reason + Act), multimodal-ReAct, thought-prompting, conversational flows (human assistant). Experience or interest in agentic AI architectures (multi-agent reasoning, chain-of-thought, tool-usage). Interest or exposure in healthcare domain: risk-adjustment, member-care-gaps, clinical data ingestion, value-based care concepts is a plus.
Job Description: We are seeking a highly skilled hands-on Software Engineer for a product development company building solutions in Healthcare. The person should have experience developing, deploying, securing, and scaling web and AI-based solutions on the Azure cloud platform. The ideal candidate will have deep expertise in product Development utilizing Python, MongoDB, ReactJS and deploying AI-based solutions utilizing LLMs on enterprise platforms/cloud infrastructure in Azure. Person should have end-to-end enterprise development, deployment, automation, security integration and DevOps experience. This is an immediate need. Start-ups experience preferred. Key Responsibilities: Develop, lead, architect, and deploy scalable and secure cloud-based solutions utilizing Python, ReactJS, FASTAPI, MongoDB/CosmosDB, integrating with AI-based solutions utilizing Large Language Models Collaborate with developers and stakeholders to optimize solutions for performance and cost-efficiency. Monitor, troubleshoot, and enhance cloud-based applications and services. Ensure best practices in security, scalability, and reliability are integrated into all solutions. Qualifications: Skills/Experience : 1+ years of hands-on experience with building enterprise products from ground-up utilizing Python frameworks, ReactJS, MongoDB/CosmosDB, and integrating with AI-based LLM solutions. Should have expertise in deploying and scaling applications in Microsoft Azure. Self-starter preferred, with experience working in start-ups. Proven experience with DevOps practices. Experience working with US healthcare data (claims/encounters/medical charts/EDI X12 files such as 837s) Additional Skills : Strong understanding of cloud security, including identity management, encryption, and secure networking practices. Familiarity with Iaas and PaaS platform development Soft Skills : Excellent problem-solving abilities and attention to detail. Self-starter with biased towards action. Hands-on strong programming experience. Strong communication and collaboration skills. Ability to work independently and meet tight deadlines. Schedule : Flexible working hours with occasional availability during business hours for meetings. Pay : Competitive rate based on experience. Start Date : Immediate.
Join Health Data Max as a Marketing Manager in Hyderabad! Perfect for grads passionate about healthcare and AI. Help shape marketing, growth, and storytelling for a startup improving how data powers better patient care.
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