Software Engineer - Frontend Senior Associate/Manager Senior Associate/Manager Experience 4-6 years Mumbai/Bangalore Type Full Time Role Summary We are looking for Software Engineers with experience building scalable and reliable cloud native services. As a Software Engineer, you will be working on the development of AuxoAIs state-of-the-art AI platform that is used by our clients in some of the most critical areas that directly impact their key business metrics. Additionally, you are required to stay up to date on AI trends and best practices, sharing knowledge with the team to foster continuous learning and improvement. If you are proactive, self-motivated, and passionate about AI, this role offers an exciting opportunity to make a meaningful impact and drive business transformation. Responsibilities Responsible for building unique user experiences across solutions and platforms that leverage state-of-the-art AI/ML models Design and implement the architecture for complex SPAs ensuring high performance and responsiveness Develop reusable components and libraries for future use Collaborate with UX/UI designers to translate designs and wireframes into high-quality code Implement and advocate for best practices in frontend development, including code standards, testing and documentation Develop and maintain automated tests to ensure code quality and reliability Implement security best practices and ensure compliance with data protection regulations Qualifications Experience in building performant applications in React or Angular or Vue.js In-depth understanding of HTML5/CSS3 Strong understanding of NodeJS Experience in using libraries such as Bootstrap, Tailwind Experience in building applications using server-side rendering frameworks such as Next.js Experience in deploying applications on cloud and using CDNs Experience in CI/CD setup for frontend applications Experience in frameworks such as React Native for mobile app development Strong understanding of Sales, Order Management, Finance, and Customer Service processes Experience with ERP systems and CRM platforms, particularly those that support Sales and Customer Service functions

Role Summary We are looking for Software Engineers with deep experience in building highly scalable and reliable enterprise applications. We are looking for engineers who have experience building cloud based/cloud native solutions from scratch. This includes demonstrable expertise in an enterprise friendly backend framework. We expect the engineer to work in a team consisting of Project Managers, Designers, Data Scientists and Software Architects. This is an exciting opportunity to work in a fast paced and innovative environment along with a group of world class and entrepreneurial professionals. Responsibilities Design and develop user-friendly web interfaces using HTML, CSS, and JavaScript Utilize modern frontend frameworks and libraries such as React, Angular, or Vue.js to build dynamic and responsive web applications Develop and maintain server-side logic using programming languages such as Java, Python, Ruby, Node.js, or PHP Build and manage APIs for seamless communication between the frontend and backend systems Integrate third-party services and APIs to enhance application functionality Implement CI/CD pipelines to automate testing, integration, and deployment processes Monitor and optimize the performance of web applications to ensure a high-quality user experience Stay up-to-date with emerging technologies and industry trends to continuously improve development processes and application performance Qualifications Bachelors/Masters in Computer Science or related subjects or hands-on experience demonstrating working understanding of software applications Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD) Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage Hands-on experience in building enterprise applications adhering to their needs of security and reliability Hands-on experience building applications using one of the major cloud providers (AWS, Azure, GCP) Working knowledge of CI/CD tools for application integration and deployment Working knowledge of using reliability tools to monitor the performance of the application

Role Summary As a AI/ML Consultant, you would be developing AI powered companions such as Pricing Copilot, Sales Copilot, Customer Experience Copilot etc. The Sales Copilot for example will provides sales insights, automate routine tasks, and assists sales teams in making informed decisions, ultimately improving the overall sales efficiency. Leveraging your expertise in data analytics, digital transformation, and AI technologies, you will collaborate closely with clients to understand their unique challenges, identify opportunities for improvement, and design tailored solutions that deliver measurable value. Responsibilities AI/ML Consultants will be responsible to design, develop, and implement AI-driven business copilots that enhance the efficiency and effectiveness of organizations They will be involved in data pre-processing, feature engineering, model training, and optimization of machine learning algorithms Additionally, they will work on integrating AI copilots into existing systems, analyze data to provide insights, and collaborate with cross-functional teams to understand and address business requirements AI/ML Consultants will work closely with clients to understand their requirements, tailor solutions to their specific needs, and provide technical guidance and support throughout the project lifecycle Drive continuous improvement initiatives, proactively identifying areas for optimization and innovation to maximize client value Share your expertise and best practices with colleagues, mentoring them contributing to the growth and development of the AuxoAI team Qualifications 4+ years of experience in consulting, project management, or a related role, with a strong focus on the healthcare and/or CPG industries Experience with natural language processing (NLP) and/or computer vision (CV) is a plus Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture Contributions to open-source projects or publications in relevant conferences/journals Familiarity with DevOps practices for continuous integration and deployment (CI/CD) Deep understanding of data analytics, data strategy, and digital transformation methodologies, with hands-on experience in implementing data-driven solutions Familiarity with AI technologies, machine learning algorithms, and natural language processing (NLP) techniques

Role Summary We are seeking skilled Data Engineers with prior experience on Azure data engineering services and SQL server to join our team. As a Data Engineer, you will be responsible for designing and implementing robust data infrastructure, building scalable data pipelines, and ensuring efficient data integration and storage. Responsibilities Design, develop, and maintain scalable data pipelines and use Azure Data Factory and Azure Stream Analytics Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness Implement data governance and security best practices to ensure compliance and data integrity Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities Qualifications Proven experience as a Data Engineer or in a similar role Experience in designing and hands-on development in cloud-based (AWS/Azure) analytics solutions Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure App Service, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential Experience in SQL server and procedures Thorough understanding of Azure Infrastructure offerings Strong experience in common data warehouse modelling principles including Kimball, Inmon Experience in additional Modern Database terminologies Working knowledge of Python or Java or Scala is desirable Strong knowledge of data modelling, ETL processes, and database technologies Experience with big data processing frameworks (Hadoop, Spark) and data pipeline orchestration tools (Airflow) Solid understanding of data governance, data security, and data quality best practices Strong analytical and problem-solving skills, with attention to detail

Role Summary We are in search of top-tier AI Engineers to join our dynamic team of innovators, creators, and visionaries. As an AI Engineer at AuxoAI, you will have the opportunity to work on ground-breaking projects that utilize artificial intelligence, including cutting-edge generative AI technologies, to solve real-world problems and drive business impact. The role provides a unique opportunity for hands-on experience in the field of artificial intelligence, with a specific focus on generative AI techniques and their practical application in real-world business contexts. AI Engineers would be developing AI powered companions such as Pricing Copilot, Sales Copilot, Customer Experience Copilot etc. The Sales Copilot for example will provides sales insights, automate routine tasks, and assists sales teams in making informed decisions, ultimately improving the overall sales efficiency. This is an exciting opportunity to work in a fast paced and innovative environment along with a group of world class and entrepreneurial professionals. Responsibilities AI engineers will be responsible to design, develop, and implement AI-driven business copilots that enhance the efficiency and effectiveness of organizations They will be involved in data pre-processing, feature engineering, model training, and optimization of machine learning algorithms Additionally, AI engineers will work on integrating AI copilots into existing systems, analyze data to provide insights, and collaborate with cross-functional teams to understand and address business requirements AI engineers will work closely with clients to understand their requirements, tailor solutions to their specific needs, and provide technical guidance and support throughout the project lifecycle They have to stay up to date with the latest advancements in AI, machine learning, and related technologies, and actively participate in knowledge sharing within the organization Qualifications Strong understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and data analysis techniques Proficient in at least one programming language commonly used in AI development (e.g., Python, R etc.) Solid grasp of data structures, algorithms, and software design principles Excellent problem-solving skills and the ability to think critically and creatively to develop innovative solutions Strong communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented, fast-paced environment Previous internship experience or relevant projects in the AI field is a plus

We are looking for Software Engineers with deep experience in building highly scalable and reliable enterprise applications. We are looking for engineers who have experience building cloud based/cloud native solutions from scratch. This includes demonstrable expertise in an enterprise friendly backend framework. We expect the engineer to work in a team consisting of Project Managers, Designers, Data Scientists and Software Architects. Responsibilities Solve complex data driven problems using the state-of-the-art AI/ML models Architect and maintain scalable, maintainable and reliable backend services Write clean, maintainable, and efficient code, adhering to best practices and coding standards Implement security best practices to protect data and ensure and ensure compliance with relevant regulations and standards Work closely with frontend developers, designers, and product managers to understand requirements and deliver high-quality features Develop and maintain automated tests, and perform thorough testing and debugging to ensure reliability and stability of the backend systems Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate the deployment process Qualifications Bachelors/Masters in Computer Science or hands-on experience demonstrating working understanding of software applications Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD) Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage Hands-on experience in building enterprise applications adhering to their needs of security and reliability Hands-on experience building applications using one of the major cloud providers (AWS, Azure, GCP) Working knowledge of CI/CD tools for application integration and deployment Working knowledge of using reliability tools to monitor the performance of the application

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-6 years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure. Additionally, you are required to stay up to date on AI trends and best practices, sharing knowledge with the team to foster continuous learning and improvement. If you are proactive, self-motivated, and passionate about AI, this role offers an exciting opportunity to make a meaningful impact and drive business transformation. Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, Aurora, RDS, Lake formation, Athena, DMS and Redshift Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness Implement data governance and security best practices to ensure compliance and data integrity Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities Develop and maintain strong relationships with key clients, serving as a trusted advisor and strategic partner while identifying opportunities for upselling and cross-selling additional services to drive revenue growth Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field 3-6 years of prior experience in data engineering, with a focus on designing and building data pipelines Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, Aurora, RDS, MWAA, Lake formation, Athena, DMS and Redshift Strong programming skills in languages such as Python, Java, or Scala Proficient in Spark, Databricks and messaging queues like RabbitMQ and Kafka Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow)

AuxoAI is seeking an experienced DevOps Engineer with a strong background in cloud infrastructure, automation, and observability tools. The ideal candidate will have expertise in configuring, optimizing, and deploying Dataiku DSS in AWS environments. You will play a pivotal role in our DevOps projects, collaborating with cross-functional teams to build scalable infrastructure, integrate machine learning models, and ensure high system reliability and performance. Leveraging your expertise in cloud technologies, digital transformation, and AI/ML platforms, you will collaborate closely with clients and internal teams to understand their unique challenges, identify opportunities for improvement, and design tailored solutions that deliver measurable value. Responsibilities Dataiku Developers will be responsible to build and manage MLOps Pipeline They will be involved in data pre-processing, feature engineering, model training, and optimization of machine learning algorithms along with building and maintaining data pipelines and workflows through Dataiku They will monitor and manage system performance and reliability using observability tools like Prometheus, Grafana, Alert Manager, Splunk (or ETL stack) and Pager Duty Design, deploy, and maintain cloud infrastructure on AWS and/or Google Cloud Develop Integrate RESTful APIs to ensure seamless communication between service and applications They will work closely with clients to understand their requirements, tailor solutions to their specific needs, and provide technical guidance and support throughout the project lifecycle Drive continuous improvement initiatives, proactively identifying areas for optimization and innovation to maximize client value while troubleshooting and optimizing Dataiku performance and scalability Qualifications Bachelors Degree in Computer Science, Information Technology, Computer Information Systems, or relevant working experience Proficiency in Python, R, React, NodeJS, and Jupyter notebooks Certification in Dataiku Platform Experience with Docker or Kubernetes Hands-on experience with AWS and/or GCP Familiarity with observability tools like Prometheus, Grafana, Alert Manager, Splunk (or ELK stack), PagerDuty Strong troubleshooting skills and a keen appetite for learning new technologies Good understanding of Unix/Linux operating system internals