Job Description: Location: Bengaluru, Mumbai, Pun, Gurugram, Remote Shift - 6:30 PM IST - 3:30 AM IST Role Summary Build multi-agent systems that turn data intelligence into automated, client-facing workflows. You will design and implement agentic architectures that make measurement models, data pipelines, and media optimization tools accessible through natural interfaces. The goal: solutions that are cheap to build, cheap to run, and easy for non-technical teams to use. Key Responsibilities - Design and build multi-agent systems using LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or custom) - Implement AI orchestration use cases for 4+ clients, focusing on low external dependency scenarios - Build agentic wrappers around existing data science models (MMM, forecasting, RBA, incrementality) so they can be queried and used conversationally - Set up and configure Genie spaces for client data exploration and self-service analytics - Develop tool-use patterns that connect agents to Databricks, Power BI, and other platform APIs - Write production-grade Python code with proper error handling, logging, and monitoring - Collaborate with Data Scientists to understand model inputs/outputs and build reliable agent interfaces - Participate in architecture reviews and contribute to the team's agentic design patterns and reusable components Required Qualifications - 5+ years of software engineering experience with strong Python skills - 2+ year hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks) - Experience with at least one agent orchestration framework (LangChain, LangGraph, AutoGen, CrewAI) - Understanding of API design, microservices, and event-driven architectures - Experience with cloud platforms (Azure preferred) - Familiarity with vector databases, embeddings, and retrieval-augmented generation patterns - Strong debugging and problem-solving skills in distributed systems - Comfort working in a fast-moving team that ships iteratively Preferred Qualifications - Experience with Databricks and/or Genie - Background in media, advertising, or marketing technology - Experience building conversational interfaces or chatbot systems - Familiarity with MLOps practices and model serving infrastructure - Open-source contributions or personal projects demonstrating agentic AI work Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Millennium Systems International is an exciting and dynamic software company based in Parsippany, New Jersey. The company has built a reputation for producing high-quality, award-winning applications for the Wellness and Spa industries since 1987. Its commitment to delivering excellent customer service has contributed to its ongoing success. We are in search of a Quality Assurance Engineer – AI-Augmented Quality Engineering to help supplement the growth and scaling of the company. Millennium Systems International is honored to have been named one of New Jersey's Top Workplaces for 2021-2025! About the Role: We are looking for a forward-thinking Quality Assurance Engineer who combines deep QA expertise with a passion for applying AI and intelligent tooling to transform how we test, validate, and ship software. This role goes beyond traditional testing — you will be a force multiplier for the QA organization, leveraging large language models, AI-powered test generation, intelligent automation, and data-driven insights to accelerate quality across the full software delivery lifecycle. You'll partner closely with engineering, product, and data teams to embed AI-assisted practices into everyday QA workflows — from smarter test case design and automated defect triage to predictive risk analysis and self-healing test frameworks. This is a remote position. What We're Looking For: Core Quality Engineering Skills - Strong foundation in Quality Assurance and Quality Engineering fundamentals, including end-to-end testing strategy, risk-based testing, and release readiness. - Proven experience designing and executing tests across web and API layers — including UI validation, regression, integration, and exploratory testing. - Hands-on proficiency with test automation frameworks such as Playwright, Selenium, or Cypress, with the ability to architect scalable, maintainable test suites. - Comfortable working with SQL for test data setup, validation, and troubleshooting data integrity issues across environments. - Solid understanding of CI/CD pipelines and the ability to integrate automated checks into build and deployment workflows. - Experience working within Agile teams, contributing to sprint planning, test estimation, and release coordination. AI & Intelligent Tooling Skills - Demonstrated ability to leverage AI-powered tools (e.g., GitHub Copilot, Claude, ChatGPT, Cursor, or similar LLM-based assistants) to accelerate test case generation, script authoring, defect analysis, and documentation. - Experience with — or strong aptitude for — prompt engineering techniques to extract high-quality, context-aware outputs from AI models for QA workflows. - Familiarity with AI-assisted test automation approaches such as self-healing locators, visual AI testing (e.g., Applitools), or intelligent test selection/prioritization. - Ability to evaluate, pilot, and integrate new AI-powered QA tools into existing processes, measuring impact on speed, coverage, and defect detection. - Understanding of how to use AI for test data generation, synthetic data creation, and edge-case discovery. - Awareness of the limitations and risks of AI-generated outputs — able to validate, review, and refine AI suggestions rather than accepting them uncritically. Leadership & Growth Mindset - A track record of mentoring junior QA engineers and elevating team capabilities through knowledge sharing, pairing, and process improvement. - Ability to champion and evangelize AI-augmented QA practices across the engineering organization. - Experience identifying quality gaps, recommending tooling, and establishing repeatable best practices that scale. - Strong communication and documentation skills — able to articulate technical concepts clearly for both engineering and non-technical stakeholders. - Proactive, self-directed, and dependable, with a history of independently driving initiatives from concept through execution. Responsibilities: - Define and execute AI-augmented test strategies across functional, integration, and automation testing layers. - Leverage AI tools to accelerate QA workflows — including test case design, automation script generation, defect root-cause analysis, and test documentation. - Architect and maintain scalable test automation frameworks, integrating AI-assisted capabilities such as intelligent test selection, self-healing tests, and predictive defect analysis. - Evaluate and pilot emerging AI-powered QA tools, building proof-of-concepts and making recommendations for adoption based on measurable quality and efficiency gains. - Mentor and coach QA team members on both foundational QE practices and the effective use of AI tools in their daily work. - Collaborate with engineering and product teams to embed quality earlier in the development lifecycle, advocating for shift-left testing and AI-supported code review. - Contribute to CI/CD pipeline quality gates, ensuring automated functional checks are reliable, fast, and actionable. - Establish and share best practices for responsible, effective use of AI in quality engineering across the organization. Requirements: - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. - 5–8+ years of professional experience in software Quality Assurance / Quality Engineering. - Strong programming skills in one or more languages: Python, JavaScript, TypeScript, C#, or equivalent. - Proven experience building and maintaining test automation at scale using modern frameworks (Playwright, Selenium, Cypress, or similar). - Demonstrated, hands-on experience using AI/LLM-powered tools to improve QA efficiency, coverage, or speed. - Experience with API testing and CI/CD integration. - Strong analytical and problem-solving skills with excellent attention to detail. - Excellent written and verbal communication skills. Bonus Skills: - Experience with ETL / Data Warehouse testing across tools such as Fivetran, Databricks, Snowflake, or similar. - Familiarity with data modeling concepts (star schema, fact/dimension tables) and data formats (Parquet, CSV, JSON). - Experience validating end-to-end data flow from source systems through ETL processes to curated layers and visualization tools (Quicksight, Tableau, Power BI). - Experience with data reconciliation — row counts, aggregations, and KPI accuracy. - Familiarity with non-functional testing practices — performance, scalability, failover, reliability, and security. - Hands-on experience with performance testing tools (JMeter, Locust, k6) or visual AI testing tools (Applitools). - Experience with backend/API testing using tools such as Postman, REST Assured, or equivalent. - Experience building custom AI agents, workflows, or integrations using APIs from LLM providers. - Familiarity with observability and monitoring tools (Datadog, New Relic, Grafana). - Knowledge of security testing practices and basic OWASP principles. - Experience with test management tools such as Azure DevOps, Jira, TestRail, or Zephyr. We offer: Paid Time Off (PTO) and Holidays Enjoy a generous 3 weeks of Paid Time Off (PTO) that begins accruing with every pay period from your very first day! Plus, you’ll enjoy ten (10) paid holidays throughout 2025, along with five (5) paid sick days and one (1) personal day because we believe in taking care of you! Medical, Dental, and Vision Benefits Your well-being is a priority! We offer subsidized Medical, Dental, and Vision plans, with coverage kicking in quickly. It's all about making sure you stay healthy, happy, and well-cared for. Life Insurance Peace of mind for you and your loved ones! We provide Life Insurance and Accidental Death & Dismemberment (AD&D). What’s even better? Millennium Systems International fully covers the entire cost, 100% on us! Long-Term and Short-Term Disability Insurance Stay secure no matter what life brings your way. Short-Term and Long-Term Disability insurance. And we’ve got your back, Millennium Systems International covers the full cost of Long-Term Disability at 100%. 401(k) Retirement Plan Plan for your future with confidence! You’ll be eligible to enroll in our robust 401(k) plan. When you do, you’ll enjoy a 100% match on up to 4% of your contributions, thanks to our Safe Harbor plan. It’s our way of helping you build a brighter tomorrow.

Role Description We have an exciting opportunity to work within one of the leading crypto groups in the web3 space. We are seeking a highly experienced Senior QA Engineer to join our international team, working remotely from either Taiwan, Singapore, or Hong Kong. - Review APP & Web requirements, specifications, and technical design documents to provide timely and meaningful feedback. - Create detailed, comprehensive, and well-structured test plans and test cases. - Estimate, prioritize, plan, and coordinate testing activities. - Design, develop, and execute Manual scripts using internal Manual framework and system. - Identify, record, document thoroughly, and track all bugs. - Perform thorough Regression testing for APP when bugs are resolved. - Develop and apply testing processes for new and existing products to meet business needs. - Liaise with internal teams, i.e., Developers and Product Managers to identify and monitor debugging process results. - Track QA metrics, like defect densities and open defect counts. - Stay up-to-date with new testing tools and test strategies. Qualifications - At least 7+ years of working experience performing Manual software-related testing. - Hands-on App & Web testing experience with both white box and black box testing. - Web/Mobile Full-stack Manual testing experience. - Experience in writing clear, concise, and comprehensive test plans and test cases. - Familiar with writing at least one scripting language - Python, Ruby, or Java. - Solid knowledge of SQL and scripting. - Experience in working in an Agile/Scrum development process. - Has interest & talent in Product analysis hacking mindset. - Fluent Chinese level with basic English speaking skills. - BS Degree in Computer Science, Engineering, or related subject. Requirements - Experience in performance or security testing. - 20-30% automation framework design and implementation. Hiring Process - Screening - Technical Interview - Offer

• Provide senior-level technical leadership to Manufacturing Engineering, Product Design, Production, Quality, and supporting functions. • Act as a recognized subject matter expert in a specialized manufacturing or process engineering discipline, offering guidance, analysis, and solutions to complex technical challenges. • Serve as a go-to technical authority for critical manufacturing issues, continuous improvement initiatives, and strategic projects. • Develop and deliver internal training, mentoring, and technical guidance to strengthen manufacturing competency and succession across the organization. • Evaluate, specify, recommend, and lead the acquisition and implementation of manufacturing equipment, tooling, automation, and process technologies to enhance safety, quality, cost, delivery, and global competitiveness. • Partner closely with Sales, Program Management, Design Engineering, and customers as a senior technical interface during development, launch, and production phases. • Lead or contribute to enterprise-wide manufacturing initiatives, special projects, and advanced problem-solving efforts as assigned.