US LLS ( Line Language Selection ) - WORK FROM HOME

Key Responsibilities

1. Platform & Application Architecture

• Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
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• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
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• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
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• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
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2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
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• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
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• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
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• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
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• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
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3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
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• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
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• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
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• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
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4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
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• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
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• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
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5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
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• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
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• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
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• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
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Key Skills & Qualifications

Technical Expertise

• Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
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• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
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• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
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• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
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• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
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• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
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Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
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• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
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• Knowledge of AI safety, risk frameworks, and prompt governance.
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• Strong analytical and communication skills for working across business and technical stakeholders.
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• Awareness of FinOps and cost optimization in token-based AI ecosystems.
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Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
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• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
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Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

Qualification / Requirement

.       4-12 years core development experience in VisionPLUS product in

credit card processing domain

.       Exposure to VMx / WNGSFM is required

.       Strong hands-on working knowledge in CMS/FAS module

.       Strong knowledge of CICS

.       Should have strong knowledge of VisionPLUS online architecture and troubleshooting experience in online area

.       Should be experienced in z/OS Software Change Management tools - Endevor and Changeman

.       Experience in design and development of medium complexity problems

.       Good knowledge and experience of DevOps & Agile discipline

Strong interpersonal and communications skills

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, and shows enthusiasm and interest in work.

• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, and Web service.

• Should have work experience on the following stacks/libraries: Flask

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python

• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Understanding of accessibility and security compliance

• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

POST - SENIOR DATA ENGINEER WITH AWS

Experience : 5 years

Must-have:

• Highly skilled in Python and PySpark

• Have expertise in writing Glue jobs ETL script, AWS

• Experience in working with Kafka

• Extensive SQL DB experience – Postgres

Good-to-have:

• Experience in working with data analytics and modelling

• Hands on Experience of PowerBI visualization tool

• Knowledge and hands-on on version control system - Git Common:

• Excellent communication and presentation skills (written and verbal) to all levels

of an organization

• Should be results oriented with ability to prioritize and drive multiple initiatives to

complete work you're doing on time

• Proven ability to influence a diverse geographically dispersed group of

individuals to facilitate, moderate, and influence productive design and implementation

discussions driving towards results

Shifts - Flexible ( might have to work as per US Shift timings for meetings ).

Employment Type - Any

• 8+ Bachelor’s degree in Computer Science or equivalent combination of technical education and work experience;
• 7+ years of Software Development experience and at least 1+ years of experience in building and leading strong engineering teams
• Deep hands-on technical expertise on server side technologies.
• Solid software development background including design patterns, data structures, test driven development, experience in building microservices and highly scalable and performant applications.
• Excellent verbal and written communication skills, and effective stakeholder management, in cross functional teams.
• Managed a team of 5+ engineers, taking care of the delivery planning, resource alignments, prioritization, performance management(including managing appraisal cycles), and effective feedback for the team and individuals.
  
  

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects  

Diagnal Technologies is a fully owned subsidiary of Diagnal Inc, Hong Kong.  It’s a product company focusing on media and entertainment clients, creating Video on Demand apps for their customers. We are a team of OTT video solution specialists helping our customers build the new digital media industry in Asia Pacific and beyond. We create viable revenue generating video streaming products, enable our customers to gain business and operational insights through big data analytics and empower them to engage with their users more effectively through targeted marketing campaigns. Started its Development Center in Technopark Phase III campus and focusing on Indian and International clients.

Position: Senior Android Developer
Must have skills-Kotlin, MVVM architecture, Dependency Injection(Dagger/KOIN)

Job Description

You have:

• 1-3 years of experience of Android development in a project services or product engineering organisation
• Experience with developing highly polished consumer facing user interfaces with smooth interactivity
• Published applications on the Google Play Store
• Self motivation and ability to manage your own time to get the job done at the high international quality levels we expect
• An engineering Degree in computer science or equivalent practical experience
• A solid understanding of operating system fundamentals, application performance optimisation and backend integration