While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Must have Expertise in designing and developing an enterprise-level solution SAAS applications and REST APIs using MicroServices and demonstrable production-scale experience Understand Architecture Requirements and ensure effective design, development, validation, and support activities Full Stack development experience in ReactJS , serverless and containerized backend and exposure to development of solutions using python API s Understanding of core AWS services especially serverless service, and basic AWS architecture best practices and ability to use the AWS service APIs, AWS CLI, and SDKs to write applications Identify bottlenecks and bugs, and recommend solutions by comparing the advantages and disadvantages of custom development Testing design experience using specific unit testing tools for Python (e.g., Pytest, Unittest) and ReactJS (e.g., Jest, React Testing Library) Well-experienced to design encompassing testing and have good experience in Agile based development approach Should have good knowledge of SCSS, HTML5, CSS3,Material UI Good experience in designing & the interactions with transactional databases Strong git knowledge Should contribute conducting code reviews and identify & resolve production problems from the solution and interact with customer Maintain architectural documentation, technical designs, and development guidelines Should contribute to team meetings, troubleshooting development and take ownership for problem solving across across multiple environments and operating platforms Execute strong collaboration and communication skills within distributed project teams as well as potential to prioritize and multitask Good to have GenAI & ML solution design experience Experience incorporating GenAI and automation practices into SD lifecycle Exposure to development of data pipelines Exposure to UX design Exposure to DevOps best practices such as infrastructure as code and CI/CD pipelines Exposure to large scale digital transformation initiatives Knowhow of No SQL databases Others Good communication skills Ability to work with minimal supervision Effectively contribute to team meetings, ability to drive client meetings from a solution perspective If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Applied AI tech lead About Quantiphi R&D: Quantiphi s R&D has been integral to Quantiphi s evolution, consistently delivering breakthrough research that shapes how we solve real-world problems. We ve matured from early-stage innovation pilots to helping launch enterprise-grade platforms, filing 50+ patents, and contributing to top-tier AI publications. We don t just explore future AI we operationalize it. That maturity is what allows us to lead from the front in areas like generative AI, agentic workflows, life sciences, and digital twins. Through our efforts, we aim to enrich non-linear growth, add value to professional services, safeguard intellectual property, and cultivate robust relationships within the AI ecosystem. Role Overview: As an Applied AI Tech Lead in the applications team of the R&D team, you will drive the development of cutting-edge AI solutions, bridging the gap between research and real-world applications. You will lead a team of developers and engineers to experiment, prototype, and deploy AI-powered systems across diverse industry domains. Your role will be pivotal in ensuring that the team remains effective in AI innovation. Additionally, you will be hands-on in coding, problem-solving, and working alongside teams to develop AI solutions. Key Responsibilities: Lead and mentor a team of AI developers and engineers in the development of novel AI models and solutions. Oversee the end-to-end lifecycle of AI projects, from ideation and prototyping to deployment. Actively participate in coding, debugging, and optimizing AI models and solutions. Collaborate with cross-functional teams to integrate AI research into scalable products and solutions. Stay ahead of emerging AI trends and assess their feasibility for business impact. Contribute to intellectual property. Optimize and fine-tune models for real-world constraints such as efficiency, latency, and scalability. Engage with industry partners and internal stakeholders to define applied R&D roadmaps. Required Qualifications: Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 6+ years of experience in AI/ML research and applied AI development. Experience with generative AI, foundation models, or multi-modal AI systems. Hands-on experience in deploying AI models at scale in real-world environments. Proven ability to lead research initiatives, drive innovation, and manage technical teams. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Strong expertise in deep learning frameworks (TensorFlow, PyTorch) and AI model development. Contributions to AI research through papers, patents, or open-source projects. Strong software engineering skills in Python, cloud platforms (AWS, GCP, Azure), and MLOps. Familiarity with AI ethics, bias mitigation, and responsible AI principles. Why Join Us Be part of a high-impact, innovative R&D team driving AI advancements. Work on challenging AI problems with real-world applications. Opportunity to publish research, file patents, and shape the future of AI at Quantiphi. A dynamic and collaborative work environment that fosters continuous learning. If youre passionate about pushing the boundaries of AI and leading cutting-edge research, wed love to hear from you! Apply today and be part of our journey in redefining AI innovation. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Test Automation Engineer Experience Level: 2 -3.5 Years Location: Gurugram Notice Period :0-45 days Skill Set Needed: - Experience in ETL Testing - Hands-on experience on SQL - Experience with automation - Python scripting - QA Analysis Experience, including Test strategy and Test design, Test case execution & reporting - Data testing background using scripts, preferably Python - Experience in development of data intensive ETL based test scripts based on technical specifications/Data design documents and Source to Target mapping- Experience working in an agile environment - Experience in understanding various testing life cycle (end to end regression, automation, performance) - Experience using agile tool sets: Jira, Confluence, HPLM etc. - Strong analytical skills - Strong communication skills required for onshore-offshore engagement models

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Test Automation Engineer Experience Level: 4+ Years Work location: Bangalore/Mumbai NP - 0-30 days Role & Responsibilities: Have a strong understanding of all the phases of STLC Have a good understanding of different types of testing Involve in Manual Testing activities to meet sprint commitments. Involve in documenting Test Strategy & Test cases Work with Test Management tools like JIRA/VersionOne, QTest,etc. Log & Track defects to closure In-dept Work Experience in Manual & Automation testing is expected. Hands-on experience in Database testing and ETL testing skills. Hands-on experience in BI Report Testing(Validate data accuracy, report functionality, and visualization integrity) Hands-on experience in API Testing using SoapUI/Postman Experience in Performance Testing (Assess system scalability, response times, and load handling) Effectively communicate testing activities and findings in oral and written formats. Interact with the scrum team to understand the requirements and plan the QA activities. Effective communication with all the stakeholders involved. Required Skills: In Depth knowledge of all the phases of STLC BI Tools - Experience with Power BI, Tableau, or similar platforms Experience in Manual Testing & Automation Testing Experience in API Testing using SoapUI/Postman Experience in Data Validation/ETL Testing Ability to understand data mapping sheets and data models Good Understanding of SQL databases Experience in JMeter, LoadRunner, or similar. Knowledge of programming languages like Python, Java, or SQL for automation. Communication - Strong ability to document findings and collaborate with teams. Good Understanding of Test Management & Defect Management Proven experience as a QA Engineer in a cloud-based environment especially AWS. Exposure to AWS services (Dynamodb, S3, etc) would be a plus. Basic knowledge of Agile Ability to work independently and collaboratively in a fast-paced environment Strong problem-solving skills and a proactive attitude

Role : Senior Software Developer- Python, FastAPI Experience : 3 to 6 Years Work Location : Mumbai / Bangalore Overview: We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. Were looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction. Job Responsibilities: Lead design and development of scalable backend services & APIs using Python and FastAPI. Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases. Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Develop intuitive UI components for agent configuration & visualization (JavaScript and React). Structure and style internal interfaces effectively (HTML5, CSS3). Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling. Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Job Requirements: Back-End Development (Required) - Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication. Proficient in leveraging ORMs, designing robust relational database schemas (PostgreSQL, MySQL), and effectively utilizing caching mechanisms like Redis. Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Expert in version control with Git and containerization using Docker. Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. Good to Have Skills: AI/ML Integration - Proficiency in integrating LLMs (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows. Strong practical understanding and application of prompt engineering techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms. Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of Vector Databases (e.g., Milvus, PGVector, Pinecone). Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe).

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Job Responsibilities: Agile Delivery Ownership - Drive end-to-end agile project execution using Scrum and/or hybrid agile frameworks. Organize and facilitate sprint planning, daily stand-ups, sprint reviews, retrospectives, and demos. Proactively identify and remove blockers that impact team velocity or delivery timelines. Stakeholder Customer Engagement - Coordinate closely with Product Managers, Engineering Leads, and Client Stakeholders to ensure alignment on sprint goals and deliverables. Ensure transparency by maintaining up-to-date burndown charts, sprint boards, and metrics dashboards. Team Empowerment Agile Coaching - Mentor cross-functional teams on Agile principles and continuous improvement practices. Cultivate team autonomy, ownership, and collaboration across AI engineers, ML experts, and platform teams. Quality and Process Excellence - Ensure adherence to delivery SLAs, sprint commitments, and customer satisfaction goals. Drive retrospectives to identify improvement areas and implement actionable changes. Job Qualifications: 3-5 years of experience managing Agile software delivery projects, with at least 2 years as a dedicated Scrum Master. Strong understanding of Agile/Scrum concepts, with hands-on experience using tools like JIRA, Confluence, Azure DevOps, etc. Ability to manage distributed teams delivering cloud-based AI/ML or data platforms. Excellent communication and stakeholder management skills, especially in customer-facing environments. Experience working in technology-led consulting, system integration, or product delivery setups. Preferred Qualifications: Scrum Master certification (CSM, PSM). Experience in AI/ML, GenAI, or cloud-native solution delivery. Exposure to working with large enterprise customers, preferably Fortune 500. Familiarity with CI/CD, MLOps, or modern DevOps practices. Background in managing engineering, data science, or product delivery teams.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Conversation Bot Engineer Work location: Mumbai & Bangalore Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions. Required Skills: Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex,Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Strong written communication skills Ability to learn latest technologies Good problem-solving ability Nice to have skills: Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus Experience in Test Driven Development & Agile methodologies Knowledge of creating an end to end pipeline for development of AI based conversational applications Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns Ability to write regular expressions for data cleaning and preprocessing Understanding of API integrations, Single-Sign-on and token-based authentication Develop unit test cases as per project specific standards Experience with HTTP, Sockets, REST and other web services Perform keyword and topic extraction from chat logs Knowledge of training and tuning topic modelling algorithms like LDA and NMF Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric Knowledge of frameworks like nltk and spacy Ability to write regular expressions for data cleaning and preprocessing

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi Quantiphi is a cutting-edge AI and data science company focused on delivering transformative solutions through innovation and technology. Phi Labs (RD) spearheads research and development in advanced machine learning, tackling complex real-world challenges through cutting-edge algorithmic innovation. Role Overview We are seeking a highly skilled Senior Machine Learning Engineer to join Phi Labs (RD), specializing in cutting-edge AI technologies including agentic AI, multimodal learning, and generative AI. You will design and develop innovative models that enable autonomous, context-aware systems, integrate multiple data modalities (text, vision, audio, etc.), and create state-of-the-art generative models. This role offers a unique opportunity to push the boundaries of AI capabilities in a research-driven environment. Key Responsibilities Design and develop advanced machine learning models focusing on agentic AI enabling autonomous agents that perceive, reason, and act effectively in complex environments. Develop multimodal AI systems that seamlessly integrate and reason across diverse data types such as images, text, video, and audio. prototype and implement generative AI models (e.g., GANs, diffusion models, large language models) for innovative applications. Demonstrate deep expertise in core NLP concepts including tokenization, embeddings, attention mechanisms, and transformer architectures (e.g., BERT, GPT, T5, and their variants). Stay current with cutting-edge research by actively reading, analyzing, and synthesizing insights from recent ML/AI papers to identify novel techniques and breakthrough applications for product innovation. Collaborate with data scientists, engineers, and product teams to build scalable ML pipelines and deploy models into production. Optimize and fine-tune large-scale models to improve performance, efficiency, and interpretability. Lead exploratory research efforts to identify novel AI techniques and applications, contributing to publications, patents, and technology roadmaps. Mentor junior team members and promote best practices in AI research and engineering. Design and implement state-of-the-art machine learning models for complex, large-scale problems. Proven ability to translate research papers into practical implementations and production-ready solutions Qualifications Bachelor s degree in Computer Science, Machine Learning, AI, or related fields. with 4+ years of industry experience in Machine Learning engineering, preferably with a strong focus on research and development (RD). Master s degree in Computer Science, Machine Learning, AI, or related fields. with 3+ years of industry experience in Machine Learning engineering, preferably with a strong focus on research and development (RD) Deep expertise in developing and deploying agentic AI systems , multimodal learning models , and generative AI architectures . Proficiency with Python and ML frameworks like TensorFlow, Pytorch, Hugging Face Transformers, or similar. Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Strong problem-solving, communication, and collaboration skills. Preferred Skills Hands-on experience with reinforcement learning, large language models, diffusion models, or vision-language models. Knowledge of MLOps and model interpretability/explain ability frameworks. Experience with real-time AI systems or human-AI interaction models. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

Overview: We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. Were looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction. Job Responsibilities: Lead design and development of scalable backend services & APIs using Python and FastAPI . Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases . Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Develop intuitive UI components for agent configuration & visualization (JavaScript and React). Structure and style internal interfaces effectively (HTML5, CSS3). Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling. Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Mentor junior engineers, contribute to technical strategy, and drive innovation. Job Requirements: Back-End Development (Required) - Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication. Proficient in leveraging ORMs , designing robust relational database schemas ( PostgreSQL, MySQL ), and effectively utilizing caching mechanisms like Redis. Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Expert in version control with Git and containerization using Docker . Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. Good to Have Skills: AI/ML Integration - Proficiency in integrating LLMs (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows. Strong practical understanding and application of prompt engineering techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms. Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of Vector Databases (e.g., Milvus, PGVector, Pinecone). Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe).

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Senior Business Analyst (Product Manager) Experience Required: 3 to 6 years Location: Bangalore / Mumbai (Hybrid) Job Responsibilities: Customer Discovery & Product Vision - Partner with customer stakeholders (CIOs, Heads of AI/Innovation, Product Teams) to uncover business needs and GenAI opportunity areas. Define long-term product vision and roadmap for enterprise-grade GenAI/Agentic platforms aligned to customer goals. Translate ambiguous problem statements into structured AI-enabled platform features and solutions. Platform Development & Delivery - Collaborate with engineering, design, and data science teams to scope and build modular, scalable AI features and workflows. Drive implementation plans and ensure delivery excellence across iterative sprints. Align roadmap with business priorities while managing trade-offs and risks. Track KPIs and success metrics. Customer Intimacy & Relationship Management - Serve as the voice of the customer internally and ensure stakeholder alignment across business and tech teams. Build strong, trust-based relationships with enterprise customers through regular checkpoints, showcases, and roadmap reviews. Manage change, feedback loops, and long-term success planning. Job Qualifications: 3 to 6 years of experience in product management, customer success, or AI transformation roles (consulting + delivery). Experience working directly with enterprise clients across solutioning, execution, and value realization phases. Demonstrated ability to define product roadmaps and coordinate cross-functional engineering and delivery teams. Excellent communication and stakeholder management skills across technical and non-technical audiences. Exposure to cloud-native platforms (AWS/GCP/Azure), GenAI (LLMs, orchestration frameworks), or ML-based systems. Good to Have Skills: Experience with AI/ML platforms, conversational AI, or workflow automation products. Background in enterprise consulting or system integration (GSI/SI) Familiarity with Agile/Scrum methodologies and tools (JIRA, Confluence, etc.)

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Associate Engagement Manager (Healthcare & Life Sciences) Experience Level: 6-9 Years Work Location: Mumbai, Bengaluru, Trivandrum Role & Responsibilities: Deliver successful projects across Healthcare and Life Sciences domains, including R&D, Clinical Development, Supply Chain, Quality, Regulatory & Compliance, Healthcare Provider Engagement, Population Health Management, Patient Experience, Digital Health, Marketing, Cost Reduction, Platform Implementation, and Automation. Serve as a Subject Matter Expert (SME) in Healthcare and Life Sciences, providing thought leadership and domain expertise to clients. Collaborate with internal teams and clients to define long-term vision, goals, and strategic roadmaps aligned with healthcare and life sciences priorities. Demonstrate strong consulting and advisory skills, analyzing complex information, synthesizing content, and translating insights into actionable recommendations and deliverables. Implement problem-solving procedures to enhance operational efficiency and effectively resolve client challenges. Develop and implement strategies to maximize customer satisfaction and strengthen client relationships in both healthcare and life sciences sectors. Communicate findings and ideas clearly and persuasively to stakeholders across clinical, operational, and executive levels. Exhibit a strong commercial mindset by optimizing deal pricing, contributing to revenue generation, and driving successful sales outcomes. Support team-building initiatives by recruiting, motivating, and fostering professional growth, with a strong focus on people development. Coach and mentor junior consultants in core consulting skills and healthcare & life sciences domains. Must have skills: 6-9 years of experience in management consulting or relevant roles within Healthcare and/or Life Sciences industries. Proven ability to manage multiple priorities with urgency, drive, and energy. In-depth understanding of healthcare and life sciences industry trends, regulations, and compliance standards. Hands-on experience in one or more of the following areas: Clinical Trials (protocol design, clinical data management, Trial Master File), Pharmacovigilance, Healthcare Provider Engagement, Supply Chain, Manufacturing, Analytics, Quality, Audit/Compliance, Connected Health, Digital Health Platforms. Familiarity with digital architecture, tools, technologies, and products relevant to healthcare and life sciences value chains. Strong analytical and problem-solving skills to decode complex business challenges and propose effective solutions. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Associate Engagement Manager (Product Manager) Experience Required: 6 to 9 years Location: Bangalore / Mumbai (Hybrid) Job Responsibilities: Customer Discovery & Product Vision - Partner with customer stakeholders (CIOs, Heads of AI/Innovation, Product Teams) to uncover business needs and GenAI opportunity areas. Define long-term product vision and roadmap for enterprise-grade GenAI/Agentic platforms aligned to customer goals. Translate ambiguous problem statements into structured AI-enabled platform features and solutions. Platform Development & Delivery - Collaborate with engineering, design, and data science teams to scope and build modular, scalable AI features and workflows. Drive implementation plans and ensure delivery excellence across iterative sprints. Align roadmap with business priorities while managing trade-offs and risks. Track KPIs and success metrics. Customer Intimacy & Relationship Management - Serve as the voice of the customer internally and ensure stakeholder alignment across business and tech teams. Build strong, trust-based relationships with enterprise customers through regular checkpoints, showcases, and roadmap reviews. Manage change, feedback loops, and long-term success planning. Job Qualifications: 6 to 9 years of experience in product management, customer success, or AI transformation roles (consulting + delivery). Experience working directly with enterprise clients across solutioning, execution, and value realization phases. Demonstrated ability to define product roadmaps and coordinate cross-functional engineering and delivery teams. Excellent communication and stakeholder management skills across technical and non-technical audiences. Exposure to cloud-native platforms (AWS/GCP/Azure), GenAI (LLMs, orchestration frameworks), or ML-based systems. Good to Have Skills: Experience with AI/ML platforms, conversational AI, or workflow automation products. Background in enterprise consulting or system integration (GSI/SI) Familiarity with Agile/Scrum methodologies and tools (JIRA, Confluence, etc.)

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Architect - Software Development & Product Experience Level: 10 years and above Work location: Mumbai, Bangalore & Trivandrum Key Responsibilities: The Software Development Architect will be a key member of the team responsible for designing and implementing high-performance, scalable web applications and platforms. The ideal candidate will have 10+ years of experience in the industry and a strong background in technologies such as ReactJS, NodeJS, Python, and Postgres. We are looking for a Software Development Architect who is motivated to combine the art of design with programming. Responsibilities will include translating the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works. System Design & Architecture: Design and implement scalable, high-performance, and fault-tolerant architectures using cloud-native best practices. Technical Leadership: Provide hands-on expertise in React, Python, and Node.js , driving engineering best practices and high-quality code. Cloud & Infrastructure: Architect, deploy, and manage cloud-based solutions ( AWS/GCP/Azure ) with strong expertise in Docker, Kubernetes, and microservices . Engineering Management: Lead, mentor, and grow a high-performing engineering team, fostering a culture of innovation, ownership, and accountability. Proficiency in using JIRA, Git, Confluence is expected. Cross-Team Collaboration: Work closely with product, design, and business teams to ensure technical solutions align with business objectives. Hands-on Development & DevOps: Actively participate in coding, code reviews, and CI/CD pipeline optimization , ensuring smooth deployment processes. UI/UX & Leadership Collaboration: Partner with leadership and design teams to drive UI/UX improvements , ensuring seamless user experiences and effective team collaboration. Scalable APIs & Performance Optimization: Design and optimize scalable REST/gRPC services , handle WebSockets for real-time communication , and manage databases (SQL/NoSQL) with Redis caching for high availability and low-latency performance. Must Have Skills: Ensure compliance of best practices and policies in software development Closely monitor code quality during implementation and be responsible for code reviews and deliverables Expert-level understanding of software development design patterns Experience in Architecting large scale web/mobile/desktop microservices based/monolithic applications Proficiency in one or more backend technologies (Node / Python / Java) Proficiency in one or more modern frontend technologies ( Angular 8+ / React / Vue ) Proficiency with databases including data modeling and query optimization (eg MySQL, Postgres, MongoDB, DynamoDB) Hands on experience with WebAPI and Restful Web Services Proficient understanding of cross-browser compatibility issues and ways to work around them. Design and construction of REST API/gRPC and its security. Proven ability to develop and ship high quality software products in Agile development. Accountable for end-to-end delivery of software Proficient understanding of web markup, including HTML5, CSS3 Proficient understanding of code versioning tools preferably Git. Good understanding of SEO principles and ensuring that application will adhere to them.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Business Analyst - Clinical Research Experience Level: 3 -6 Years Work location: Mumbai, Bengaluru, Trivandrum Role & Responsibilities: Deliver projects in digital transformation initiatives, including cloud technologies, AI, and automation. Collaborate with teams and clients to define long-term vision, goals, and strategies. Implement problem-solving procedures to enhance efficiency in resolving customer issues. Create and implement strategies and solutions to maximize customer satisfaction. Deep understanding of Pharma Value Chain, regulatory requirements and compliance standards. Ability to manage change effectively and drive adoption of new solutions. Collaborate with cross-functional teams to ensure seamless project execution. Lead and motivate teams to achieve project objectives. Develop data-driven solutions to address business challenges Clearly articulate and document business requirements, functional specifications, and user stories. Develop detailed process flows and diagrams to visualize business processes and system workflows. Collaborate with technical teams to create technical documentation, such as system design documents etc Clearly communicate complex technical concepts to both technical and non-technical audiences. Develop and deliver engaging presentations that captivate the audience and convey key messages. Primary Skills: 3-6 years of experience in management consulting or relevant roles within the life sciences industry. Comprehensive understanding of life sciences industry Clinical Databases like CDD Vault, Dotmatics,Revvity, IDBS and more Knowledge of Ontologies and Data-catalog of Clinical Research Databases Understanding of Databases and ETL development process Analytical Problem-Solving: Decode complex business challenges and propose effective solutions. Conduct in-depth business analysis to identify opportunities for improvement and innovation. Gather and analyze requirements from stakeholders. Develop detailed functional and non-functional requirements. Create process flows, data flows, and other relevant documentation. Lead and manage complex projects across various life sciences domains. Define project scope, timelines, and resource allocation. Oversee project execution, monitor progress, and identify potential risks. Ensure adherence to project timelines, budgets, and quality standards. Deep understanding on the scrum methodology Hands-on experience with Google Workspace (Google Docs, Google Slides) and Microsoft Office Suite (Excel, Word). Familiar with ticketing systems like ServiceNow, Jira, Azure DevOps, etc. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Associate Architect - Software Development Experience : 6 to 9 Years Work Location : Mumbai / Bangalore Job Responsibilities: Collaborate in the design and development of scalable backend services and APIs using Python and FastAPI Build and optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases. Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Contribute to the development of user-facing components for agent configuration and data visualization using JavaScript and React. Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex) and tool-calling. Support DevOps initiatives by using Git, Docker, and maintaining CI/CD pipelines. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Mentor junior engineers, contribute to technical strategy, and drive innovation. Job Requirements: Back-End Development (Required) - Proven experience in Python development, with a track record of building scalable backend services using FastAPI for RESTful APIs and WebSocket communications. Solid understanding of ORMs, relational database schema design (PostgreSQL, MySQL), and effective use of caching layers (Redis). Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Proficient in version control with Git and containerization with Docker Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. AI/ML Integration (Desired) - Experience architecting end-to-end AI applications and integrating LLMs into backend workflows. Practical knowledge of prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling implementations. Background in designing and deploying RAG pipelines, with experience selecting and using Vector Databases (Milvus, PGVector, Pinecone). Awareness of MLOps practices and tools for model deployment and serving (e.g., NVIDIA Triton, KServe) Understanding of Model Context Protocol (MCP) and Agent-to-Agent Toolkit for advanced agentic workflows. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

Develop a complete understanding of a company s technology and information systems. Design, build, implement and support enterprise-class security systems. Identify and communicate current and emerging security threats Plan, research and design robust security architectures for any IT project. Perform or supervise vulnerability testing, risk analyses and security assessments. Create solutions that balance business requirements with information and cybersecurity requirements. Identify security design gaps in existing and proposed architectures and recommend changes or enhancements. Set up and support code security and infrastructure security activities of DevSecOps Pipeline. Must have experience in cloud concepts and perform assessment and implementation of new technologies within the cloud. Use current programming language and technologies to write code, complete programming and perform testing and debugging of applications. Provide supervision and guidance to development and security teams. Define, implement and maintain corporate security policies and procedures. Respond immediately to security-related incidents and provide thorough remedial solutions and analysis. Required Skills: Experience in automating security tools and processes ensuring innovation and advancement strategies that keep pace in the areas of access control, security-in-depth, secure transaction processing, secure coding practices. Experience in working in a high paced DevSecOps or SecOps environment with hands-on experience in Docker, Kubernetes and Cybersecurity tools like IDS, SIEM, SAST/DAST Scanners, EDR Experience in conducting and facilitating security reviews, threat modelling including deep design reviews throughout the development lifecycle to identify all the threats the systems are exposed to and recommended mitigations controls to address those threats. Hands-on knowledge in Cloud Security and AWS / GCP / Azure (good hands-on experience in at least one of them preferably GCP) Experience in performing penetration testing activities on Internal and large scale cloud infrastructure Hands-on experience in performing threat modelling and web application security assessments Experience in evaluating and implementing industry leading third party security tools and software Hands-on experience in performing vulnerability assessment and management via automation Effective communication skills with all the stakeholders involved. Skills to communicate clearly about complex subjects and technical plans with technical and non-technical audiences. Ability to identify risks associated with business processes, operations, technology projects and information security programs