UI/UX Graphic Designer

Key Responsibilities

1. Patient Care

• Provide basic nursing care to patients at home.
• Monitor and record vital signs such as temperature, pulse, respiration, and blood pressure.
• Assist patients with daily living activities including bathing, feeding, grooming, and mobility.
• Maintain patient hygiene and comfort.

2. Clinical Support

• Assist doctors or registered nurses in basic medical procedures.
• Administer medications as prescribed under supervision.
• Perform basic procedures such as dressing wounds, catheter care, and injections (if permitted).
• Maintain infection control and hygiene protocols.

3. Patient Monitoring

• Observe patient conditions and report any changes to the supervising nurse or doctor.
• Maintain daily patient care records and reports.
• Support rehabilitation and recovery processes.

4. Patient & Family Support

• Educate patients and family members on basic home care and hygiene practices.
• Provide emotional support to patients and caregivers.
• Assist family members in understanding medication schedules and care routines.

5. Compliance & Documentation

• Maintain accurate patient documentation and treatment records.
• Follow hospital/home healthcare policies and clinical protocols.
• Ensure patient confidentiality and ethical practices.

Qualification

• ANM (Auxiliary Nurse Midwife) Certification from a recognized institution.
• Valid nursing registration (if applicable as per state norms).

Experience

• 0–3 years of experience in hospitals, clinics, or home healthcare services preferred.
• Freshers with clinical training may also apply.

Skills Required

• Basic nursing and patient care skills
• Good communication and interpersonal skills
• Ability to work independently in home settings
• Compassion, patience, and empathy
• Basic documentation and reporting skills

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

The Sales Executive in an Import–Export business is responsible for generating international sales, managing overseas clients, negotiating deals, and supporting smooth execution of export and import orders.

Experience Required

• Minimum 1 year experience in Import–Export sales or international business development

Salary & Incentives

• Incentives:
• Attractive performance-based sales incentives
• Commission on new client acquisition and order value
• Monthly / quarterly incentive payouts on achieving sales targets
• Growth: Salary revision based on performance

(Salary range can be customized as per company policy)

Key Responsibilities

• Generate and convert international sales leads
• Handle overseas clients and buyers professionally
• Prepare quotations, proforma invoices, and sales proposals
• Negotiate prices, payment terms, and delivery schedules
• Coordinate with logistics and documentation teams
• Follow up on shipments, payments, and customer satisfaction
• Achieve assigned sales targets

Required Skills & Qualifications

• Bachelor’s degree in Commerce / Business or related field
• 1+ year experience in Import–Export or international sales
• Strong communication and negotiation skills
• Knowledge of export documentation and INCOTERMS

Key Responsibilities:

 Identify and engage potential clients through proactive outreach, networking, and

relationship-building.

 Understand client needs and present tailored HKKR Finserv that drive value and meet their

specific goals.

 Conduct product demonstrations and presentations that highlight the benefits of our

Company.

 Negotiate contracts and close deals while ensuring client satisfaction throughout the

process.

 Collaborate with the marketing team to develop targeted campaigns that align with sales

objectives.

 Stay updated on industry trends, competitor offerings, and emerging technologies to

effectively position our products in the market.

 Provide ongoing support to clients post-sale, ensuring they are maximizing the value of our

organization .

 Maintain accurate records of sales activities in our CRM system, tracking progress against

targets.

Qualifications:

 Bachelor’s degree in Business, Marketing, or a related field.

 A proven track record of meeting or exceeding sales targets.

 Strong communication skills—both written and verbal—with an ability to connect with

diverse stakeholders.

 An entrepreneurial spirit with a self-motivated attitude; you're ready to roll up your sleeves!

 A genuine interest in financial market trends, Stock market

 The ability to work collaboratively within a team environment while also being comfortable

working independently.

 If you’re ready to take your sales career to the next level while being part of an innovative

team, we want to hear from you!

🌍 We’re Hiring: Senior Field AI Engineer | Remote | Full-time

Are you passionate about pioneering enterprise AI solutions and shaping the future of agentic AI?

Do you thrive in strategic technical leadership roles where you bridge advanced AI engineering with enterprise business impact?

We’re looking for a Senior Field AI Engineer to serve as the technical architect and trusted advisor for enterprise AI initiatives. You’ll translate ambitious business visions into production-ready applied AI systems, implementing agentic AI solutions for large enterprises.

What You’ll Do:

🔹 Design and deliver custom agentic AI solutions for mid-to-large enterprises

🔹 Build and integrate intelligent agent systems using frameworks like LangChain, LangGraph, CrewAI

🔹 Develop advanced RAG pipelines and production-grade LLM solutions

🔹 Serve as the primary technical expert for enterprise accounts and build long-term customer relationships

🔹 Collaborate with Solutions Architects, Engineering, and Product teams to drive innovation

🔹 Represent technical capabilities at industry conferences and client reviews

What We’re Looking For:

✔️ 7+ years of experience in AI/ML engineering with production deployment expertise

✔️ Deep expertise in agentic AI frameworks and multi-agent system design

✔️ Advanced Python programming and scalable backend service development

✔️ Hands-on experience with LLM platforms (GPT, Gemini, Claude) and prompt engineering

✔️ Experience with vector databases (Pinecone, Weaviate, FAISS) and modern ML infrastructure

✔️ Cloud platform expertise (AWS, Azure, GCP) and MLOps/CI-CD knowledge

✔️ Strategic thinker able to balance technical vision with hands-on delivery in fast-paced environments

✨ Why Join Us:

• Drive enterprise AI transformation for global clients
• Work with a category-defining AI platform bridging agents and experts
• High-impact, customer-facing role with strategic influence
• Competitive benefits: medical, vision, dental insurance, 401(k)

Together with the Head of Quality and Patient Safety, the Head of Quality and Patient Experience is

accountable for developing and driving the Trust’s strategy for quality, promoting the highest standards of

healthcare within the organisation. The role requires the post holder to communicate with staff at the highest

levels of the Trust and to engage with key local, regional and national stakeholder to inform development of

strategy and policy. Directly accountability to the Trust Board via the Chief Nurse and Medical Director, the

Heads of Quality provide vital assurance to the Board and its Committees that the Trust’s operations reflect

current best practice within the post holders’ designated areas of expertise and responsibility.

The Head of Quality and Patient Experience is the Trust lead for the following services:

•  Care Quality Commission registration and compliance
• Clinical Audit and Effectiveness
• Patient Experience and Involvement• Complaints management
• Chaplaincy (Spiritual and Pastoral Care)
• Patient Affairs (Bereavement office)
• Voluntary Services
• Promoting inclusion and diversity in relation to patient care – including provision of translating and
• interpreting services

Qualifications and Training

• Educated to Bachelor Degree level in a relevant subject, or hold an equivalent level

professional qualification or equivalent experience at senior level - E

• Relevant leadership or management qualification - E

• Evidence of strong and recent commitment to relevant ongoing professional development 

Only apply on this link - https://loginext.hire.trakstar.com/jobs/fk025uh?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk025uh?source=

LogiNext is looking for a technically savvy and passionate Associate Vice President - Product Engineering - DevOps or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.

Responsibilities:

• Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud
• Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems
• Automate the deployment and configuration of the virtualized infrastructure and the entire software stack
• Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO
• Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud
• Define and build processes to identify performance bottlenecks and scaling pitfalls
• Manage robust monitoring and alerting infrastructure 
• Explore new tools to improve development operations to automate daily tasks
• Ensure High Availability and Auto-failover with minimum or no manual interventions

Requirements:

• Bachelor’s degree in Computer Science, Information Technology or a related field
• 11 to 14 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
• Strong background in Linux/Unix Administration and Python/Shell Scripting
• Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
• Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
• Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
• Experience in query analysis, peformance tuning, database redesigning, 
• Experience in enterprise application development, maintenance and operations
• Knowledge of best practices and IT operations in an always-up, always-available service
• Excellent written and oral communication skills, judgment and decision-making skills.
• Excellent leadership skill.

About Company

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls, and Compass. works with over 1000 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

Engineering Manager 

Requirements:

Education - B.Tech/MCA or equivalent.

Overall 10 to 12 years of experience.

Agnostic/Polyglot with multiple tech stacks.

Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, Columnar DBs

Good experience with Front-end technologies like JavaScript frameworks, React, AngularJS.

Backend exposure – good knowledge of building API using Node or Lambda or python.

Good understanding of ELK, Kafka, Redis and CDN.

Worked on serverless technologies and good understanding of CMS.

Efficient in building microservices in combining server & front-end.

Good understanding of AWS and its technologies.

Should be innovative and communicative in approach and should be hands on coding guru

Will be responsible for the functional/technical track of a product.

Experience with Scaling SAAS products and ability to design from scratch.

Ability to manage a small team of 5 -10 Developers/QA Engineers and guide them on the design and coding best practices

Design and develop SaaS-based applications based on microservices architecture.

Work on the core backend and ensure it meets the performance benchmarks.

Work on the front-end with ReactJS.

Designing and developing APIs for the front-end to consume.

Constantly improve the architecture of the application by clearing the technical backlog.

Meeting both technical and consumer needs.

Staying abreast of developments in web applications and programming languages).

• Manage and improve the engineering process continuously and make sure the team delivers the quality code with zero-waste.
• Should provide technical leadership to major projects, but also build and manage a team of 5-8 top-notch engineers.
• Should do sprint planning and run daily stand-ups and deliver 100% hit rate.
• Maintain the legacy code base and reduce tech debt on a continuous basis.
• Able to handle multiple projects and deliver with stringent timelines without compromising the code quality.
• Work with the product team for roadmap planning and delivery as per the plan.
• Conduct sprint planning & sizing, engineering grooming, daily stand-ups, and deliver with zero spillovers.
• Prepare & publish sprint reports to the leadership team and provide visibility to stakeholders.
• Hire and mentor junior/ senior team and make them engineering champions.
• Mentor the engineering team with your technical skills to write scalable, generic, reusable code.
• Develop and Coach engineers on the team, share engineering pointers, conduct regular 1-1s with the team, and help them advance in their careers.

Requirements

• Having work experience in a Product organization with 7 -10 yrs also in leading a cross-functional engineering team that includes API Development and Backend & Middleware development.
• Should have experience in the continuous delivery process. Ship new features and improvising the code base continuously.
• Should have involved in setting up engineering process.
• Must have experience in microservices and distributed patterns.
• Must have worked on high traffic and throughput application.
• Must have prior experience in handling mid to large-size projects.
• Must have worked on high traffic and throughput application.
• Should have managed and lead the engineering team of Web App and Backend development teams.
• Must-Have Experience in Python programming & Postgressql/ Nosql (MongoDB as a data store.
• Must have experience in modern back-end tech stacks (Django, Postgress, NoSQL) and cloud design & deployment patterns.
• Must be conversant with AWS, Docker/Kubernetes
• Should be good with design patterns and integration patterns.
• Should have knowledge/ experience in concurrent programming & distributed locks.
• Requires solid understanding of technologies and architecture in a highly scalable and available set-up.
• Should have handled multiple epics, themes, and experience of delivering high-quality projects on time.
• Should have managed end to end development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations