healthcare ai engineer

HospitALL Private Limited

Role OverviewHospitALL is seeking a highly skilled Contract AI Engineer to design, develop, and deploy clinical-grade AI models for patient symptom assessment, medical report interpretation, and prescription safety verification within the HospitALL digital health ecosystem. This role will directly shape the intelligence layer of Pakistan&rsquo;s next-generation patient safety platform.The engineer will work closely with medical professionals, data analysts, and mobile engineers to ensure that all AI outputs are clinically safe, explainable, scalable, and compliant with healthcare data regulations.Key Responsibilities<ul><li>Design and implement AI models for symptom analysis, urgency classification, and diagnostic guidance.</li><li>Develop logic systems for prescription dosage checks, drug interactions, and contraindications.</li><li>Build medical report interpretation models for labs, radiology summaries, and diagnostic flags.</li><li>Train and optimize AI models using structured healthcare datasets.</li><li>Work closely with the Clinical Review Panel to validate medical accuracy and ethical safety.</li><li>Develop AI inference APIs for smooth integration into the HospitALL app.</li><li>Ensure data privacy, encryption, and regulatory compliance at the AI processing level.</li><li>Optimize AI response times for mobile-friendly real-time performance.</li><li>Maintain version control, technical documentation, and security audit logs.</li><li>Support testing, monitoring, and refinement during pre-launch and soft rollout.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, or Biomedical Engineering.</li><li>1&ndash;2 years of hands-on experience in AI/ML product development.</li><li>Strong expertise in:</li><li>Python, TensorFlow / PyTorch, Scikit-learn</li><li>NLP for medical text processing</li><li>Classification and decision-tree modeling</li><li>Prior experience in healthcare, diagnostics, or clinical AI is highly preferred.</li><li>Experience with API deployment, microservices, and cloud AI infrastructure.</li></ul>Performance Indicators (KPIs)<ul><li>Successful deployment of all 3 AI modules within 90 days.</li><li>Clinical validation approval from HospitALL medical board.</li><li>AI response accuracy above 90% in pilot testing.</li><li>Zero critical safety failures at launch.</li><li>Optimized inference latency for real-time app use.</li></ul>Job Type: Full-timePay: Rs65,000.00 - Rs75,000.00 per monthWork Location: In person

AI Engineer – Healthcare AI Systems

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including: 
 
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront. 
 
Key job responsibilities 
As an AWS Software Development Engineer, you will: 
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul> 
A day in the life 
On a typical day as an AWS SDE, you might: 
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul> 
About the team 
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect: 
 
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer

Calsoft

<div>
 
 Job Title: AI/ML Engineer &ndash;
 
 
 GenAI / Agentic AI
 
 
 Experience: 3+ Years
 
 
 Location: Pune / Indore / Bangalore / Kolkata Role
 
 
 Summary
 
 
 We are looking for an experienced AI/ML Engineer &ndash; GenAI / Agentic AI to design, build, and deploy intelligent, autonomous AI systems. The role involves working on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI frameworks to solve real-world enterprise problems. Key Responsibilities
 
 
 &bull; Design, develop, and deploy Generative AI and Agentic AI solutions using LLMs
 
 
 
 
 
 &bull; Build and optimize RAG pipelines with vector databases (FAISS, Pinecone, Weaviate, etc.)
 
 
 &bull; Develop multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI
 
 
 &bull; Integrate LLMs with enterprise systems, APIs, tools, and workflows
 
 
 &bull; Fine-tune and prompt-engineer LLMs for domain-specific use cases
 
 
 &bull; Implement evaluation, monitoring, and guardrails for GenAI systems
 
 
 &bull; Collaborate with product, data, and cloud teams for scalable deployment
 
 
 &bull; Ensure performance, cost optimization, security, and compliance
 
 
 Mandatory Skills
 
 
 &bull; Python (Strong proficiency)
 
 
 &bull; AI/ML fundamentals &ndash; NLP, Deep Learning, Transformers
 
 
 &bull; Generative AI &amp; LLMs (OpenAI, Azure OpenAI, Gemini, Anthropic, LLaMA, etc.)
 
 
 &bull; Agentic AI frameworks &ndash; LangChain / LangGraph / AutoGen / CrewAI
 
 
 &bull; RAG architecture and vector databases
 
 
 &bull; Prompt engineering &amp; LLM orchestration
 
 
 &bull; REST APIs, microservices integration Good to Have
 
 
 &bull; Fine-tuning LLMs (LoRA, PEFT)
 
 
 &bull; Experience with MLOps / LLMOps (MLflow, Kubeflow, monitoring tools) &bull; Cloud platforms: AWS / Azure / GCP
 
 
 &bull; Knowledge of Docker, Kubernetes
 
 
 &bull; Experience in enterprise use cases (BFSI, Healthcare, Retail, Telecom) Qualifications
 
 
 &bull; B.E. / B.Tech / M.Tech / MCA in Computer Science, AI, Data Science, or related field
 
 
 &bull; 5+ years of hands-on experience in AI/ML with recent focus on GenAI / Agentic AI Why Join Us
 
 
 &bull; Work on cutting-edge Agentic AI &amp; GenAI platforms
 
 
 &bull; Opportunity to build autonomous, production-grade AI systems
 
 
 &bull; High-impact enterprise projects &bull; Collaborative and innovation-driven environment
 
</div>

Data Scientist

Oracle

<div>At Oracle Health, we are redefining healthcare intelligence through cutting-edge AI and Search technologies. As a Principal Machine Learning Engineer , you will be responsible for designing and operationalizing scalable ML and LLM-powered systems that enhance clinical insights, streamline operations, and power intelligent search experiences across our products.
You will serve as a technical leader , mentoring engineers and data scientists, defining solution architectures, and ensuring end-to-end reliability and performance in ML and Search pipelines.</div>
 <div>Design and implement scalable AI and LLM applications including RAG (Retrieval-Augmented Generation), embeddings, and multi-agent architectures for healthcare data and knowledge systems.
Architect and optimize enterprise Search solutions using OpenSearch (or Elasticsearch), including:
Designing and maintaining Universal Search Documents (USDs) with rich metadata, relevance signals, and domain-specific ranking.
Implementing efficient indexing pipelines and query optimization strategies for structured and unstructured healthcare data.
Tuning search relevance using clickstream and behavioral signals , boosting, and custom scoring.
Building semantic search layers using vector embeddings and hybrid retrieval (BM25 + ANN).
Collaborate with data, engineering, and product teams to integrate Search and ML pipelines seamlessly into production.
Establish and maintain search performance monitoring , relevance evaluation, and A/B experimentation frameworks.
Lead teams in developing responsible, explainable, and secure AI solutions that comply with healthcare data standards and regulations.
Mentor engineers and scientists, fostering technical excellence and innovation.
Contribute to architecture reviews, patents, and thought leadership in AI and Search innovation. 
Required Qualifications
Master&rsquo;s or PhD in Computer Science, Data Science, or related technical field.
8+ years of experience in ML or AI engineering, with at least 2 years of hands-on experience in OpenSearch (or Elasticsearch) .
Proven track record delivering end-to-end AI or search-based applications in production.
Strong proficiency in Python , PyTorch/TensorFlow , and cloud platforms ( OCI, AWS, or Azure ).
Deep understanding of LLMs , RAG pipelines , and embedding-based search .
Experience creating, maintaining, and optimizing Universal Search Documents (USDs) &mdash;including schema design, signals integration, and ranking models.
Strong command of query DSL , aggregation frameworks, and performance optimization for OpenSearch clusters (e.g., sharding, caching, and scaling strategies). 
Preferred Qualifications
Experience integrating LLMs with OpenSearch for semantic and generative retrieval.
Familiarity with vector databases , hybrid retrieval systems , or cross-modal search .
Experience with data pipeline orchestration (Airflow, Prefect, or similar).
Experience leading cross-functional AI/ML programs or search relevance initiatives.
Knowledge of healthcare data systems, interoperability, and compliance frameworks (e.g., HIPAA, FHIR).
Contributions to open-source search or ML communities, or published research in AI/ML.</div>

Software Developer

Pharmnova Medical Research Pvt Ltd

About the CompanyPharmnova is a technology-focused contact research organization building advanced AI-driven SaaS platforms deployed on the cloud.Role OverviewWe are seeking a Senior Software Engineer / SaaS Solution Architect to lead and support the development and architecture design of AI-driven SaaS applications deployed on Microsoft Azure.This role requires hands-on SaaS application development, architecture design, and mandatory experience in AI integration and Azure deployment. The candidate will work closely with other developers, AI Engineers and Data Scientists and contribute to both technical execution and project coordination.Key Responsibilities<ul><li>Design and implement SaaS application architecture with scalability, security, and performance in mind</li><li>Develop and maintain backend services using Node.js and MongoDB</li><li>Lead and contribute to AI integration into SaaS applications in collaboration with AI/Data Science teams</li><li>Deploy, manage, and optimize applications on Azure Cloud (mandatory)</li><li>Participate in architecture planning, technical documentation, and design reviews</li><li>Coordinate with cross-functional teams and support project planning and execution</li><li>Ensure best practices for cloud-native development, security, and performance</li><li>Troubleshoot production issues and continuously improve system reliability</li></ul>Mandatory Skills and Experience<ul><li>3 - 10 years of professional experience in software engineering</li><li>Mandatory experience in SaaS application development and architecture design</li><li>Mandatory Azure cloud deployment experience</li><li>Mandatory hands-on experience with AI integration in production systems</li><li>Strong proficiency in Node.js backend development</li><li>Experience with MongoDB or similar NoSQL databases</li><li>Experience working directly with AI Engineers / Data Scientists</li><li>Solid understanding of microservices, REST APIs, and cloud-native architectures</li></ul>Additional Skills (Plus)<ul><li>Project management or technical lead experience</li><li>Strong verbal and written communication skills</li><li>Experience with CI/CD pipelines and DevOps practices</li><li>Exposure to Azure AI Services, OpenAI, or similar platforms</li><li>Knowledge of containerization (Docker, Kubernetes)</li></ul>Qualifications<ul><li>B.E or M.E degree in Computer Science, or a related field</li><li>Relevant cloud or AI certifications are a plus</li></ul>Why Join Pharmnova?If you have the passion to contribute to healthcare where AI solutions are transforming lives, Pharmnova can facilitate right career path through:<ul><li>Work on AI-powered SaaS platforms with real-world impact</li><li>Work with healthcare/pharma domain experts to understand Healthcare Industry</li><li>Opportunity to influence architecture and technical direction</li><li>Collaborative environment with AI and Data Science teams</li><li>Competitive compensation and long-term growth opportunities</li></ul>Experience3 to 10 YearsSalary₹6 - 20 LPA (Based on experience and expertise)Job Type: Full-timePay: ₹600,000.00 - ₹2,000,000.00 per yearEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>software engineering: 3 years (Preferred)</li></ul>Work Location: In person

SaaS Solution Architect

Soho Dragon

<div>SoHo Dragon represents a tech-driven, AI-native pharmaceutical company that&rsquo;s shaping the future of healthcare. We&rsquo;re looking for a mid-to-senior-level Data Engineer to play a key role in building and optimizing data solutions. 
You&rsquo;ll work with Snowflake and Dagster as your core tools, while also leveraging Terraform, GitHub Actions, and Databricks to deliver scalable, high-impact data pipelines. 
Start date: ASAP

Contract duration: 2-6 months</div>

Data Engineer

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