Qureos Mentor

MedRisk LLC

<div><div>Job Description
Job Title: AI Engineer 
Department/Function/ Business Unit: CDO 
Home Department:
Reporting To: Ramesh Kannan
Location: Bangalore 
Job Summary:
We are seeking a highly skilled AI Engineer to design, develop, and deploy cutting-edge Generative AI (GenAI) and Large Language Model (LLM) solutions, with a strong focus on agentic AI systems. This role is pivotal in building intelligent, autonomous applications that deliver transformative business outcomes. You will collaborate with data scientists, software engineers, and cloud teams to operationalize advanced AI capabilities at scale.
The ideal candidate combines deep technical expertise in machine learning and generative AI with a passion for innovation, ensuring our AI products are robust, ethical, and impactful.
Key Responsibilities:<ul><li>
Architect and implement enterprise-grade AI solutions leveraging GenAI, LLMs, and agentic frameworks to solve complex business challenges and automate workflows.</li><li>
Develop APIs and microservices in Python or C#/.NET to integrate trained models seamlessly into enterprise systems.</li><li>
Containerize and orchestrate AI components using Docker and Kubernetes for scalable deployments.</li><li>
Operationalize ML models in collaboration with data scientists, ensuring reproducibility and production readiness.</li><li>
Expose models as REST APIs or event-driven endpoints, enabling integration with web applications and automation systems.</li><li>
Design and manage end-to-end ML workflows, including data ingestion, model training, and deployment.</li><li>
Implement MLOps best practices using MLflow, Kubeflow, Azure ML, AWS SageMaker, or Vertex AI.</li></ul></div><div><ul><li>
Integrate models into CI/CD pipelines in partnership with DevOps teams for continuous delivery.</li><li>
Ensure compliance with governance, security, and ethical AI standards, including GDPR and HIPAA.</li><li>
Communicate technical insights and business impact effectively to non-technical stakeholders.</li><li>
Evaluate emerging tools and frameworks, particularly in multimodal AI, generative models, and agentic systems.</li><li>
Contribute to internal AI libraries, reusable templates, and automation frameworks.</li><li>
Work in an agile environment following Scrum or Kanban methodologies.</li></ul>
Required Qualifications:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, or related field.</li></ul>
Experience:<ul><li>
3&ndash;6 years of experience in AI/ML development, including practical deployment of GenAI and LLM-based solutions.</li><li>
Hands-on experience with agentic AI frameworks and autonomous systems.</li><li>
Strong understanding of design and architectural patterns for AI applications.</li><li>
Exposure to CI/CD and cloud-based orchestration pipelines.</li><li>
Familiarity with data security, governance, and compliance standards.</li><li>
Experience with Power BI, Azure Data Factory, or Databricks is a plus.</li><li>
Prior work in Agile or DevOps environments preferred.</li></ul>
Skills &amp; Competencies:<ul><li>Technical Skills</li></ul><ul><li>
Programming: Proven expertise in Python and/ or C#/.NET</li><li>
Agentic / LLM App Development Frameworks: Proven expertise in frameworks like Google ADK / CrewAI / LangChain, LangGraph / DSPy</li></ul></div><div><ul><li>
Machine Learning: Supervised/unsupervised learning, NLP, computer vision, deep learning, LLMs</li><li>
Generative AI: OpenAI APIs, Hugging Face, LangChain, RAG pipelines</li><li>
MLOps:MLflow, Kubeflow, Azure ML, AWS SageMaker</li><li>
API Development: Flask, FastAPI, ASP.NET Core Web API</li><li>
Version Control: Git, GitHub, Azure Repos</li><li>
JavaScript / TypeScript Framework: Experience with ReactJS / Angular / Vue will be a plus.</li><li>
Cloud Platforms: Exposure to cloud technologies (like Azure, AWS, GCP) will be a plus - Azure being the preferred provider</li><li>
Deployment &amp; CI/CD: Familiarity with Docker, Kubernetes, Azure DevOps, GitHub Actions</li><li>
Integration: Experience with ML.NET, gRPC, REST APIs will be a plus</li></ul><div> 
 
<ul><li>Soft Skills</li></ul></div><ul><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication and collaboration across technical and business teams.</li><li>
Self-starter with a passion for emerging AI technologies.</li><li>
Focused on reliability, scalability, and maintainability in AI systems.</li><li>
Comfortable working in agile, cross-functional teams.</li></ul> 
Employment Type:<ul><li>
Full-time</li></ul>
Date of Posting: 20-11-2025</div></div>

AI Engineer - C06

<div>*** Applicants must be Bilingual Spanish/English****<div>
Clinical Advisor Services Analyst II
Location: Remote (US)
Department: Clinical/Nursing
Job Type: Full Time 
 The clinical advisor services analyst II nurse is responsible for performing telephonic assessments of work-related injuries. The nurse will conduct telephone assessments of work-related injuries/illness while utilizing an assessment platform and decision support tool to determine the appropriate treatment recommendation for the injury/illness at hand. 
 
 Qualifications: 
 Active and unencumbered registered nursing license with two years clinical nursing experience.
Primary RN license must be compact license (nurse must have compact license and reside in a compact state) 
 Occupational medicine, ED or UC experience desirable.
CA nurse licensure is mandatory (must hold an active CA RN license or be willing to obtain upon hire - company to reimburse cost)
Medicine or Rehab experience desirable. 
 Strong organizational and time management skills.
Ability to multitask (type/talk/read simultaneously) 
 Knowledgeable in computer operations, including Windows operating system, data entry skills and 10-key capabilities.
At least 30 to 40 WPM typing speed required.
Must possess excellent oral communication/telephone skills. 
 Must demonstrate the ability to understand state laws and guidelines.
Great interdepartmental communication (regularly communicates with intake team) 
 Responsibilities: 
 Develop and maintain effective professional relationships with medical providers, claims adjusters and clients 
 Demonstrates excellence in communications to ensure customer satisfaction and retention. 
 Demonstrates basic problem-solving skills to ensure early intervention and identification of those injuries which will benefit from medical case management or to deliver self-care advice during the triage process. 
 
 Directs recommended care into network providers as applicable.
Follows up on injury status, when applicable, to advance level of care when necessary. 
 
 Accurately and completely documents in file using standard documentation format(s). 
 Follows all standards, procedures, and protocols. 
 
 Maintains nurse licensure with license in good standing. 
 Maintains an overall QA average of 95%. 
 Participates in departmental projects and meetings with 80% minimum attendance at meetings. 
 Acknowledges and adheres to Stratacare policies and procedures. 
 Maintains acceptable attendance and tardiness.</div></div>

Nurse Utilization- Clinical Analyst (Bilingual Spanish/English)

Join MedRisk LLC and explore 2   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.

MedRisk LLC

ABOUT_COMPANY

AI Engineer - C06

Nurse Utilization- Clinical Analyst (Bilingual Spanish/English)