Responsibilities Design and implement RESTful APIs using Python, following OpenAPI specifications Build and maintain modern, responsive React.js web frontends Integrate with third-party services (e.g., Auth0, OpenAI APIs, Strapi CMS, and others) Deploy, monitor, and troubleshoot applications in cloud environments such as Heroku Work with both SQL and NoSQL databases (especially MongoDB) Collaborate with the team to define requirements, scope integrations, and own features from development to deployment Apply creative thinking to technical challenges and product design decisions Contribute to DevOps practices and CI/CD pipelines (basic knowledge is sufficient) Required Skills Strong programming skills in Python, with experience building APIs Proficiency in React.js and modern JavaScript/TypeScript frontend development Experience integrating external services via REST APIs Familiarity with MongoDB and relational databases Understanding of cloud environments (e.g., Heroku, AWS, etc.) Solid grasp of web architecture and application design patterns Self-motivated with the ability to work independently and take full ownership of features (ref:hirist.tech) Show more Show less

Key Responsibilities Hands-on experience with multi-cloud environments (e.g., Azure, AWS, GCP) Design and maintain AWS infrastructure (EC2, S3, VPC, RDS, IAM, Lambda and other AWS services). Implement security best practices (IAM, GuardDuty, Security Hub, WAF). Configure and troubleshoot AWS networking and hybrid and url filtering solutions (VPC, TGW, Route 53, VPNs, Direct Connect). Experience managing physical firewall management (palo alto , cisco etc..) Manage , troubleshoot, Configure and optimize services like Apache, NGINX, and MySQL/PostgreSQL on Linux/Windows/ Ensure Linux/Windows server compliance with patch management and security updates. Provide L2/L3 support for Linux and Windows systems, ensuring minimal downtime and quick resolution of incidents Collaborate with DevOps, application, and database teams to ensure seamless integration of infrastructure solutions Automate tasks using Terraform, CloudFormation, or scripting (Bash, Python). Monitor and optimize cloud resources using CloudWatch, Trusted Advisor, and Cost : 4+ years of AWS experience and system administration in Linux & Windows. Proficiency in AWS networking, security, and automation tools. Certifications : AWS Solutions Architect (required), RHCSA/MCSE (preferred). Strong communication and problem-solving skills. (ref:hirist.tech) Show more Show less

As a Gen AI Engineer , you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud platforms. Key Responsibilities AI Model Development : Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases. Prompt Engineering : Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs. Cloud Expertise : Deploy and manage AI models on cloud platforms (e.g., AWS, Azure, GCP) ensuring scalability, security, and cost-efficiency. Data Management : Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering. Model Evaluation & Tuning : Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency. Innovation : Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process. Collaboration : Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services. Documentation : Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and : Education : Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. Experience : Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models. Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI/ML workloads. Strong background in Prompt Engineering and AI model optimization techniques. Technical Skills Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience with NLP, machine learning algorithms, and data preprocessing. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Familiarity with MLOps practices and tools for continuous integration and deployment. Soft Skills Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies (ref:hirist.tech) Show more Show less

Job Description Design, build, and maintain scalable and efficient data pipelines to move data between cloud-native databases (e.g., Snowflake) and SaaS providers using AWS Glue and Python Implement and manage ETL/ELT processes to ensure seamless data integration and transformation Ensure information security and compliance with data governance standards Maintain and enhance data environments, including data lakes, warehouses, and distributed processing systems Utilize version control systems (e.g., GitHub) to manage code and collaborate effectively with the team Primary Skills Enhancements, new development, defect resolution, and production support of ETL development using AWS native services Integration of data sets using AWS services such as Glue and Lambda functions. Utilization of AWS SNS to send emails and alerts Authoring ETL processes using Python and PySpark ETL process monitoring using CloudWatch events Connecting with different data sources like S3 and validating data using Athena. Experience in CI/CD using GitHub Actions Proficiency in Agile methodology Extensive working experience with Advanced SQL and a complex understanding of SQL. Secondary Skills Experience working with Snowflake and understanding of Snowflake architecture, including concepts like internal and external tables, stages, and masking policies. Competencies / Experience Deep technical skills in AWS Glue (Crawler, Data Catalog): 10+ years. Hands-on experience with Python and PySpark: 5+ years. PL/SQL experience: 5+ years CloudFormation and Terraform: 5+ years CI/CD GitHub actions: 5+ year Experience with BI systems (PowerBI, Tableau): 5+ year Good understanding of AWS services like S3, SNS, Secret Manager, Athena, and Lambda: 5+ years Additionally, familiarity with any of the following is highly desirable: Jira, Gi (ref:hirist.tech) Show more Show less

Viral Mint (Digital Marketing Agency) is looking for Sr. Data Engineer. Role Description : This is a full-time on-site role for a Senior Data Engineer at ViralMint. The Senior Data Engineer will be responsible for analyzing data, creating data models, communicating insights, and utilizing statistical techniques to drive business decisions. Experience : 5-7 years. Location : Baner, Pune (On-Site Job). Salary : Decent hike on your Current CTC. Responsibilities Analytical Skills, Data Analytics, and Statistics proficiency. Strong Communication skills. Data Modeling expertise. Experience in utilizing statistical methods for data analysis. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Experience with SQL, Python, or R is preferred. Must Have data visualization tools like Tableau or Power BI and Advance Excel , AI or Machine learning and strong Math's. Ability to work collaboratively in a team environment. A data analyst oversees organizing data related to sales figures, market research, logistics, Customers behaviors. A data Analyst collect the all data ( Needful information ) for particular task. (ref:hirist.tech) Show more Show less

About The Role We are on a mission to build cutting-edge, scalable Generative AI (GenAI) solutions that deliver real-world impact. If you've worked on GenAI projects, deployed APIs, debugged endpoints, and enjoy working at the intersection of Python, cloud-native infrastructure, and modern front-end extensionsthis is your opportunity to make a mark. You will join a dynamic and fast-paced team where youll help build, deploy, and maintain GenAI-based systems at scale using tools such as Python, Docker, Kubernetes, and TypeScript-based extensions. Key Responsibilities Design, develop, and deploy scalable Python APIs that serve GenAI models and related functionalities. Manage containerized applications with Docker and deploy them on Kubernetes clusters for high availability and performance. Troubleshoot and debug complex issues, including API endpoint failures, latency problems, and deployment inconsistencies. Develop interactive TypeScript extensions, integrating them with backend systems and GenAI services. Collaborate with data scientists and ML engineers to integrate LLM (Large Language Model) capabilities into production systems. Monitor application health, ensure proper scaling, and implement DevOps best practices. Work cross-functionally with teams across engineering, product, and AI to ensure timely delivery and optimal Qualifications : 5+ years of experience working on GenAI projects or relevant exposure to generative model-based applications. Should have worked min of 2 projects on Gen AI Strong expertise in Python, with a deep understanding of building APIs (using FastAPI, Flask, or similar frameworks). Hands-on experience with Docker for containerization and managing production-grade deployments on Kubernetes. Proven ability to deploy, scale, and monitor APIs in cloud-native environments. Proficiency in TypeScript, with experience building extensions or interactive front-end modules. Familiarity with LLM architectures (e.g., GPT, LLaMA, Claude) and experience working with their APIs or open-source implementations. Strong debugging skills and the ability to investigate and resolve issues across the stack. Nice To Have Experience with API gateways, observability tools (Prometheus, Grafana), or CI/CD pipelines. Familiarity with vector databases or GenAI toolkits like LangChain, RAG frameworks, or OpenAI/Anthropic APIs. Exposure to MLOps practices and model deployment Join Us : Work on frontier AI technology with real-world applications. Join a collaborative and high-performing team passionate about GenAI. Opportunities for growth and ownership in a fast-evolving tech landscape. (ref:hirist.tech) Show more Show less

Data Engineer (3-4 Years Experience) - Real-time & Batch Processing | AWS, Kafka, Click House, Python Location : NOIDA. Experience : 3-4 years. Job Type : Full-Time. About The Role We are looking for a skilled Data Engineer with 3-4 years of experience to design, build, and maintain real-time and batch data pipelines for handling large-scale datasets. You will work with AWS, Kafka, Cloudflare Workers, Python, Click House, Redis, and other modern technologies to enable seamless data ingestion, transformation, merging, and storage. Bonus: If you have Web Data Analytics or Programmatic Advertising knowledge, it will be a big plus!. Responsibilities Real-Time Data Processing & Transformation : Build low-latency, high-throughput real-time pipelines using Kafka, Redis, Firehose, Lambda, and Cloudflare Workers. Perform real-time data transformations like filtering, aggregation, enrichment, and deduplication using Kafka Streams, Redis Streams, or AWS Lambda. Merge data from multiple real-time sources into a single structured dataset for analytics. Batch Data Processing & Transformation Develop batch ETL/ELT pipelines for processing large-scale structured and unstructured data. Perform data transformations, joins, and merging across different sources in Click House, AWS Glue, or Python. Optimize data ingestion, transformation, and storage workflows for efficiency and reliability. Data Pipeline Development & Optimization Design, develop, and maintain scalable, fault-tolerant data pipelines for real-time & batch processing. Optimize data workflows to reduce latency, cost, and compute load. Data Integration & Merging Combine real-time and batch data streams for unified analytics. Integrate data from various sources (APIs, databases, event streams, cloud storage). Cloud Infrastructure & Storage Work with AWS services (S3, EC2, ECS, Lambda, Firehose, RDS, Redshift, ClickHouse) for scalable data processing. Implement data lake and warehouse solutions using S3, Redshift, and ClickHouse. Data Visualization & Reporting Work with Power BI, Tableau, or Grafana to create real-time dashboards and analytical reports. Web Data Analytics & Programmatic Advertising (Big Plus!) : Experience working with web tracking data, user behavior analytics, and digital marketing datasets. Knowledge of programmatic advertising, ad impressions, clickstream data, and real-time bidding (RTB) analytics. Monitoring & Performance Optimization Implement monitoring & logging of data pipelines using AWS CloudWatch, Prometheus, and Grafana. Tune Kafka, Click House, and Redis for high performance. Collaboration & Best Practices Work closely with data analysts, software engineers, and DevOps teams to enhance data accessibility. Follow best practices for data governance, security, and compliance. Must-Have Skills Programming : Strong experience in Python and JavaScript. Real-time Data Processing & Merging : Expertise in Kafka, Redis, Cloudflare Workers, Firehose, Lambda. Batch Processing & Transformation : Experience with Click House, Python, AWS Glue, SQL-based transformations. Data Storage & Integration : Experience with MySQL, Click House, Redshift, and S3-based storage. Cloud Technologies : Hands-on with AWS (S3, EC2, ECS, RDS, Firehose, Click House, Lambda, Redshift). Visualization & Reporting : Knowledge of Power BI, Tableau, or Grafana. CI/CD & Infrastructure as Code (IaC) : Familiarity with Terraform, CloudFormation, Git, Docker, and Kubernetes. (ref:hirist.tech) Show more Show less

Role : Senior Full Stack Engineer Location : Chennai Experience : 3 to 5 years Company Description At MajorDomo, we transform CloudOps & GenAIOps into a seamless experience, empowering organizations to innovate faster and with confidence. Our mission is to accelerate your product delivery, letting developers focus on what truly mattersbuilding extraordinary solutions while we take care of the platform engineering complexities. Join us in shaping the future of innovation. Role Description This is a full-time on-site role for a Senior Full Stack Engineer located in Chennai. The Senior Full Stack Engineer will be responsible for both front-end and back-end development tasks. Day-to-day tasks include designing, implementing, and maintaining web applications, ensuring high performance and responsiveness to requests from the front-end. Collaboration with other engineers, architects, and product managers to create secure, scalable, and reliable software solutions is required. Qualifications 3 to 5 Experience in Back-End Web Development, Software system Design and Software Development with Golang or Python or Java or any Modern Programming language. Proficiency in Front-End Development, including expertise in Nextjs, TypeScript and CSS Work on user-facing features using UI frameworks like React, Vue.js, or Angular. Strong skills in Full-Stack Development Good understanding of Docker Excellent problem-solving, debugging and communication skills Familiarity with modern development practices and tools Bachelor's degree in Computer Science, Engineering, or related field Proficiency in designing and developing SaaS based applications with Multi-tenancy is an advantage. Understanding of Kubernetes, Cloud related Technologies and DevOps is an advantage Ability to work on-site in Chennai (ref:hirist.tech) Show more Show less

We are looking for a highly skilled and motivated Full Stack Developer to join our growing team. The ideal candidate will have hands-on experience in MERN stack development along with exposure to Ruby and front-end technologies. You will play a key role in designing, developing, and maintaining fast, scalable, and responsive web applications, as well as managing both relational and non-relational databases. Key Responsibilities Develop, test, and deploy scalable web applications using the MERN stack (MongoDB, ExpressJS, ReactJS, NodeJS). Work with front-end libraries and frameworks including ReactJS, NextJS, Ant Design, and Material Design. Implement robust authentication, middleware, and role-based authorization in backend services. Design RESTful APIs and ensure seamless integration with frontend and other services. Maintain and optimize large-scale relational and non-relational databases (MySQL, PostgreSQL, SQL Server, MongoDB). Collaborate with cross-functional teams using tools like GitHub and JIRA. Contribute to DevOps tasks including application deployment and debugging on AWS. Quickly identify and resolve issues in production and non-production environments. Establish and refine development environment tools as needed. Required Skills & Qualifications Strong command of the MERN stack : MongoDB, ExpressJS, ReactJS, NodeJS. Proficiency in HTML, CSS, JavaScript, XML, jQuery. Hands-on experience with Ruby and frontend frameworks (JavaScript / React). Familiarity with back-end languages such as C#, Java, Python is a plus. Knowledge of build tools and bundlers like Webpack, Parcel, Lerna. Experience working with both relational and non-relational databases. Good understanding of cloud services and deployment, especially AWS. Ability to work independently and deliver high-quality code in a collaborative environment. Nice To Have Experience with Angular or other modern JS frameworks. Understanding of microservices architecture. Prior experience in DevOps, CI/CD pipelines, and monitoring tools. (ref:hirist.tech) Show more Show less

Location : BKC, Mumbai, Maharashtra, India (On-site, Full-time) Experience : 3+ Years Job Summary We are seeking a highly motivated and skilled Associate AI & Tech with 3+ years of relevant experience to join our growing team in BKC, Mumbai. This role is ideal for a proactive individual eager to apply their knowledge of Artificial Intelligence and broader technological concepts to real-world business problems. You will be instrumental in researching, developing, and implementing AI-powered solutions, contributing directly to our strategic initiatives and product offerings. Key Responsibilities AI/ML Application : Participate in the design, development, and implementation of AI and Machine Learning models to address specific business needs. Data Handling : Assist in the end-to-end data lifecycle, including data acquisition, cleaning, transformation, and preparation for model training and analysis. Technology Integration : Explore and integrate various AI/ML platforms, tools, and libraries (Python ML frameworks, cloud AI services) into existing or new systems. Problem Solving : Actively identify technical challenges, conduct root cause analysis, and propose innovative and effective AI/tech-driven solutions. Research & Evaluation : Conduct in-depth research on emerging AI technologies, methodologies, and industry trends to inform solution design and keep our approaches cutting-edge. Documentation : Create clear, concise, and comprehensive technical documentation, including solution designs, model specifications, and process flows. Cross-functional Collaboration : Work closely with senior engineers, data scientists, project managers, and business stakeholders to translate requirements into technical solutions and ensure successful project delivery. Performance Monitoring : Assist in monitoring the performance of deployed AI models and systems, identifying areas for optimization and improvement. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related quantitative field. 3+ years of hands-on professional experience in roles involving AI, Machine Learning, data analysis, or software development with a strong AI focus. Solid understanding of Artificial Intelligence and Machine Learning concepts and algorithms. Proficiency in Python for data manipulation, analysis, and ML model development (Pandas, NumPy, Scikit-learn, TensorFlow/Keras/PyTorch). Experience with SQL for data extraction and manipulation. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Strong analytical and problem-solving skills with a keen eye for detail. Excellent written and verbal communication skills, capable of articulating technical concepts clearly. Ability to work effectively in a fast-paced, team-oriented, and dynamic environment (ref:hirist.tech) Show more Show less

We are hiring : ROS Developer Work Experience : 0 to 2+ years Location : Coimbatore Notice Period : Immediate Roles And Responsibilities Proficient in Python programming with a strong background in Robot Operating System (ROS) and ROS 2. Extensive experience in developing and implementing ROS solutions for Autonomous Mobile Robots, covering mapping, navigation, localization, and advanced functionalities. Expertise in integrating and working with key hardware components crucial for AMR, including Servo Motors, Lidars, IMU, Realsense cameras, Arduino, and Raspberry Pi. In-depth understanding of communication protocols such as USB, RS485, Modbus, Serial, and MQTT, specifically applied to AMR communication systems. Proven track record of successful involvement in autonomous indoor and outdoor robotic projects. Ability to adapt ROS solutions to different environments and challenges posed by AMR applications. Familiarity with C++ programming is considered an added advantage, particularly for performance-critical components in AMR applications. Requirements Demonstrated experience in ROS development, specifically for Autonomous Mobile Robots. Proven track record in successful AMR projects and a solid understanding of AMR challenges. Strong problem-solving skills and the ability to work independently or collaboratively within a team. Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Willingness to travel for deployment and testing. (ref:hirist.tech) Show more Show less

About The Role We are seeking a highly experienced and technically proficient Senior VMware Engineer (L3) to join our infrastructure team in Navi Mumbai. This is an onsite role for a seasoned professional with 10+ years of IT infrastructure experience, particularly a strong focus on VMware technologies. As a Senior VMware Engineer, you will be a key player in designing, implementing, managing, and troubleshooting complex VMware environments. You will be responsible for ensuring the high availability, performance, and security of our virtualized infrastructure. A significant part of this role will involve hands-on expertise with advanced VMware solutions like vSAN, NSX, and VCF, with a mandatory requirement for at least 1 year of recent, hands-on experience with VMware Tanzu. You will work on critical infrastructure projects that directly impact millions of users, offering an opportunity to enhance your skills and collaborate across various domains. Key Responsibilities VMware Infrastructure Management : Lead the design, implementation, configuration, and maintenance of complex VMware environments, including vSphere, vCenter Server, ESXi hosts, and associated components. Perform capacity planning, performance tuning, and optimization of virtualized infrastructure. Monitor system health, proactively identify and resolve issues, and ensure adherence to SLAs. Advanced VMware Solutions Expertise Demonstrate strong hands-on experience with VMware vSAN for hyper-converged infrastructure deployments, including design, configuration, and troubleshooting. Possess mandatory, hands-on experience of at least 1 year with VMware Tanzu, including deploying, managing, and troubleshooting Kubernetes clusters on vSphere using Tanzu. Work extensively with VMware NSX (Network Virtualization and Security), including logical switching, routing, distributed firewalling, and micro-segmentation. Implement and manage solutions based on VMware Cloud Foundation (VCF) for integrated software-defined data center (SDDC) deployments. Operating System Management Manage and troubleshoot Linux OS environments (e.g., RHEL, CentOS, Ubuntu) running on virtual machines, including scripting for automation. Troubleshooting & Support (L3) Provide expert-level (L3) support for complex virtualization and infrastructure issues, performing root cause analysis and implementing permanent solutions. Participate in on-call rotations as required to support critical systems. Automation & Scripting Develop and implement automation scripts (e.g., PowerShell, Python, Bash) for routine tasks, infrastructure provisioning, and operational efficiencies. Documentation & Best Practices Create and maintain comprehensive documentation for infrastructure designs, configurations, processes, and troubleshooting guides. Ensure adherence to industry best practices, security standards, and compliance requirements. Collaboration & Mentorship Collaborate effectively with other infrastructure teams, network engineers, application teams, and project managers. Mentor junior engineers and share knowledge within the team. Cloud-Native & Containerization (Plus) Experience with OpenShift clusters (Red Hat OpenShift Container Platform) is a significant plus. Familiarity with other containerization technologies (Docker, Kubernetes) and their integration with VMware environments. Required Skills & Qualifications Total IT Experience : Minimum of 10+ years of professional experience in IT Infrastructure, with a strong focus on virtualization. VMware Expertise : Extensive hands-on experience with the VMware suite of products, including vSphere, vCenter, ESXi. VMware vSAN : Strong practical experience in deploying, managing, and troubleshooting VMware vSAN. VMware Tanzu (Mandatory) : At least 1 year of recent, dedicated, hands-on experience with VMware Tanzu (e.g., Tanzu Kubernetes Grid, Tanzu Mission Control). VMware NSX : Solid hands-on experience with VMware NSX for network virtualization and security. VMware Cloud Foundation (VCF) : Practical experience with VCF deployments and management. Linux OS : Proficient in managing and troubleshooting Linux operating systems. Education : B.E / B.Tech / MCA degree is mandatory. Notice Period : Ability to join immediately or within 15 days. Location : Willingness to work onsite in Navi Mumbai. What This Opportunity Offers Long-Term Impact : Work on long-term, critical projects within a large-scale, stable enterprise environment. Cutting-Edge Exposure : Gain exposure to and work with modern virtualization tools and advanced cloud-native platforms. High Impact : Contribute to critical infrastructure that directly impacts millions of users. Skill Enhancement : Continuous opportunities for skill enhancement and professional growth. Cross-Domain Collaboration : Collaborate across various technical domains, expanding your expertise. Direct Employment : Be on direct payroll with a reputed technology partner (ref:hirist.tech) Show more Show less

About The Role We're looking for a Senior Data Scientist with hands-on experience in machine learning, GenAI, and cloud platforms to solve real-world problems in the BFSI/Insurance space. You'll work with a collaborative team to build and deploy models that drive business impact - from fraud detection and churn prediction to customer segmentation and unstructured data analysis. What You'll Do Build ML models (XGBoost, Neural Networks, Random Forests) for classification, regression, anomaly detection, and more. Use unsupervised learning techniques for segmentation, clustering, and cohort creation. Apply LLMs and GenAI for insights from unstructured data (e.g., call transcripts, agent notes). Deploy solutions on cloud platforms (preferably AWS) using tools like Databricks, SageMaker, Lambda, Docker, etc. Implement MLOps best practices - versioning, CI/CD, monitoring. Collaborate with business teams to translate models into insights that matter. What You Bring 5+ years of experience in data science roles. 1-2 years working in BFSI or Insurance domain. Proficient in Python, SQL, Databricks. Strong understanding of ML fundamentals including optimization techniques like gradient descent. Experience with GenAI/LLMs (nice to have). Cloud experience (AWS preferred) with exposure to end-to-end model deployment. Great communication skills and a problem-solving mindset. (ref:hirist.tech) Show more Show less

About Quantanite Quantanite is a customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We are an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed-up with exceptional results. We have big dreams, and are constantly looking for new colleagues to join us who share our values, passion and appreciation for diversity. About The Role As a DevOps Engineer you will work closely with our global teams to learn about the business and technical requirements and formulate the necessary infrastructure and resource plans to properly support the growth and maintainability of various systems. Key Responsibilities Implement a diverse set of development, testing, and automation tools, as well as manage IT infrastructure. Plan the team structure and activities, and actively participate in project management. Comprehend customer requirements and project Key Performance Indicators (KPIs). Manage stakeholders and handle external interfaces effectively. Set up essential tools and infrastructure to support project development. Define and establish DevOps processes for development, testing, release, updates, and support. Possess the technical expertise to review, verify, and validate software code developed in the project. Engage in software engineering tasks, including designing and developing systems to enhance reliability, scalability, and operational efficiency through automation. Collaborate closely with agile teams to ensure they have the necessary tools for seamless code writing, testing, and deployment, promoting satisfaction among development and QA teams. Monitor processes throughout their lifecycle, ensuring adherence, identifying areas for improvement, and minimizing wastage. Advocate and implement automated processes whenever feasible. Identify and deploy cybersecurity measures by continuously performing vulnerability assessments and managing risk. Handle incident management and conduct root cause analysis for continuous improvement. Coordinate and communicate effectively within the team and with customers. Build and maintain continuous integration (CI) and continuous deployment (CD) environments, along with associated processes and tools. About The Candidate Qualifications and Skills : Proven 5 years of experience with Linux based infrastructure and proficient in scripting language. Must have solid cloud computing skills such as network management, cloud computing and cloud databases in any one of the public clouds (AWS, Azure or GCP) Must have hands-on experience in setting up and managing cloud infrastructure like Kubernetes, VPC, VPN, Virtual Machines, Cloud Databases etc. Experience in IAC (Infrastructure as Code) tools like Ansible, Terraform. Must have hands-on experience in coding and scripting in at least one of the following : Shell, Python, Groovy Experience as a DevOps Engineer or similar software engineering role. Experienced in establishing an optimized CI / CD environment relevant to the project. Automation using scripting language like Perl/python and shell scripts like BASH and CSH. Good knowledge of configuration and building tools like Bazel, Jenkins etc. Good knowledge of repository management tools like Git, Bit Bucket etc. Good knowledge of monitoring solutions and generating insights for reporting Excellent debugging skills/strategies. Excellent communication skills. Experienced in working in an Agile environment. Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress : Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement : Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development : We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events : Regular team and organisation-wide get-togethers and events. Value orientation : Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. (ref:hirist.tech) Show more Show less

Be a Visionary : AI Solution Architect for Agentic Intelligence. Join our team and spearhead the development of groundbreaking agentic and LLM-powered enterprise solutions. As our AI Solution Architect, you will be instrumental in defining and delivering intelligent systems that redefine business capabilities. You will architect the core of autonomous interactions (A2A) and intelligent coordination (MCP), fueled by data from a multitude of sources. Your Impact Architect the Intelligent Future : Design end-to-end, scalable architectures for agentic AI and LLM-driven applications, including innovative multi-agent frameworks. And the future design patterns on A2A and MCP. Lead the Technological Edge : Drive the development of Python-based microservices for AI model orchestration and integration, leveraging the power of leading LLMs and agentic frameworks. Build the Data Foundation : Architect robust and efficient data injection pipelines to fuel our AI models with diverse data, ensuring real-time capabilities where needed. Deliver Tangible Results : Lead the end-to-end delivery of impactful AI solutions, demonstrating clear business value from concept to production. Champion AI Excellence : Stay at the forefront of AI research, guide technology decisions, and mentor our engineering team in best practices. Your Expertise Includes A proven history of successfully delivering at least three enterprise-grade AI projects involving agentic systems, LLM integration, or multi-agent platforms. Deep practical knowledge of agentic AI frameworks (AutoGPT, BabyAGI, ReAct) and the design of multi-agent systems. Comprehensive understanding of LLMs (OpenAI API, Hugging Face), including prompt engineering and fine-tuning methodologies. Extensive experience in building and deploying data ingestion pipelines from a variety of data sources and types. Mastery of Python and relevant development frameworks for AI model serving and orchestration. Demonstrated ability to deploy and scale AI solutions on major cloud platforms, utilizing containerization and CI/CD pipelines. Solid understanding and implementation of MLOps principles for the lifecycle management of AI models. Exceptional ability to communicate complex technical concepts effectively to diverse audiences. Ideally, You Also Have An advanced degree in a relevant technical field. Experience working within regulated industries. Knowledge of reinforcement learning and multi-agent RL techniques. Familiarity with A2A communication protocols and MCP orchestration engines. Join Us And Enjoy Competitive monthly compensation that reflects your expertise. The opportunity to own the technical vision and architecture of our AI products. Access to cutting-edge AI tools, platforms, and the latest research. A collaborative and dynamic startup environment where your contributions will have a significant impact. Ready to Architect the Future of AI? Please submit your resume, a portfolio showcasing at least three relevant AI projects (including architectural diagrams), and a brief statement outlining your experience with agentic AI, LLMs, A2A, MCP, and data injection strategies. (ref:hirist.tech) Show more Show less

Role : Senior Generative AI Engineer Location : Chennai (on-site) Exp : 3 - 5 years FarmwiseAI is a leading Geospatial AI company based in Chennai, specializing in AI driven agriculture solutions that enable data-driven decision-making for governments, lenders, and businesses. Founded in 2020, we deliver real-time advisory, automated land mapping, and crop-monitoring products at scale to foster sustainable development. As an AI-first organization, we embed AI assistance across our entire product lifecycle from brainstorming and architecture to testing and deployment to empower every team member to leverage AI in their day-to-day work. We are hiring a Generative AI Engineer to build, deploy, and optimize multimodal AI services across text, speech, and vision. You'll work on RAG, synthetic data generation, agent workflows, and integrate STT/TTS/OCR with scalable backend systems. Generative Pipelines : Design applications for RAG, CAG, text classification, summarization, image/video generation, OCR, and synthetic data generation. Multimodal Integration : Work with STT, TTS, IVR, OCR, and vision inputs to enable seamless AI interactions. AI Agent Workflows : Develop modular, multi-step orchestrations for document, conversational, and data-based user journeys. Containerization & Deployment : Collaborate with DevOps to containerize services, manage Kubernetes orchestration, and implement CI/CD for agile delivery. Observability : Instrument services using OpenTelemetry, Prometheus, and logging tools to ensure SLO-driven production reliability. Collaboration : Work cross-functionally with product, data science, and frontend teams to define APIs (REST/GraphQL) and ensure smooth integration. Documentation & Mentorship : Participate in architecture reviews, write clear documentation, and mentor junior engineers and interns Bachelor's/Masters in Computer Science, Data Science, IT, or related field. 2 - 3 years of experience building AI/ML products in Python. Must be proficient in AI-first coding tools like Claude Code, Cursor, Roocode, etc. Proven experience in deploying GenAI applications and agents in production. Strong hands-on with vector search, embedding-based retrieval, STT, TTS, OCR/vision. Familiarity with Docker, Kubernetes, frontend development, and CI/CD workflows. Strong debugging, performance tuning, and cost-optimization skills. Excellent communication, teamwork, and mentoring abilities. Languages & Tools (mandatory) : Python (pandas, scikit-learn, PyTorch, Tensorflow, etc.), Git/GitHub , AWS or GCP. Generative AI stack (mandatory) : LangChain, LlamaIndex, transformers, frontier LLMs (OpenAI, Anthropic, Gemini models) and open models (DeepSeek, Qwen, Llama and Phi models). Vector stores : FAISS, Pinecone, Qdrant, Weaviate, etc. Keyword Index : Elasticsearch, Apache Solr, Typesense, etc. Validation frameworks : Pydantic, Instructor, etc. LLM Abstraction libraries : Lite LLM Asynchronous or parallel programming : asyncio, joblib, etc. API frameworks : FastAPI, Flask, etc. FE prototyping : Streamlit, Gradio, etc Agentic AI Frameworks (mandatory, 1) : Google Agents Development Kit , LangGraph, OpenAI Agents SDK, PydanticAI. Speech & Vision (nice-to-have) : OpenAI Realtime Voice API/Whisper; ElevenLabs/Smallest.ai TTS; LlamaParse/JinaAI/Mistral OCR. Observability & Monitoring (nice-to-have) : OpenTelemetry, Prometheus , LangSmith, Pydantic Logfire . Cloud & DevOps (nice-to-have) : Docker, Kubernetes, GitHub Actions. Domain experience in AgriTech, FinTech, HRTech or EduTech. Experience and profound interest in reading and implementing research papers. Open-source contributions or published evaluation suites. Exposure to managed cloud AI services (Vertex AI, Bedrock, JumpStart). Familiarity with React/Next.js integration (ref:hirist.tech) Show more Show less

We're hiring for Python SDE 1 to join our Commerce Team. The Commerce Engineering Team forms the backbone of our core business. We build and iterate over our core platform that handles start from onboarding a seller to serving the finished products to end customers across different channels with customisation and configuration. Our team consists of generalist engineers who work on building REST APIs, Internal tools, and Infrastructure. Some Specific Requirements Atleast 2+ years of Development Experience You have prior experience developing and working on consumer-facing web/app products Solid experience in Python with experience in building web/app-based tech products Experience in at least one of the following frameworks - Sanic, Django, Flask, Falcon, web2py, Twisted, Tornado Working knowledge of MySQL, MongoDB, Redis, Aerospike Good understanding of Data Structures, Algorithms, and Operating Systems You've worked with core AWS services in the past and have experience with EC2, ELB, AutoScaling, CloudFront, S3, Elasticache Understanding of Kafka, Docker, Kubernetes Have knowledge of Solr, Elastic search Attention to detail You can dabble in Frontend codebases using HTML, CSS, and Javascript You love doing things efficiently the work you do will have a disproportionate impact on the business. We believe in systems and processes that let us scale our impact to be larger than ourselves You might not have experience with all the tools that we use but you can learn those given the guidance and resources (ref:hirist.tech) Show more Show less

Role : Software Developer Experience : 2- 5 yrs Location : and Duties : Design and develop AI solutions using machine learning (ML), deep learning (DL), and natural language processing (NLP) techniques. Collaborate with Tech team, Product Manager and stakeholders to identify AI-driven opportunities. Build and deploy predictive models, recommendation engines, and generative AI applications. Optimize AI algorithms for scalability, performance, and accuracy. Integrate AI systems with existing software platforms and workflows. Research and stay updated on advancements in AI, machine learning frameworks, and tools. Prepare and maintain technical documentation for AI projects. Conduct rigorous validation (testing & review) of AI models to ensure reliability and compliance with business requirements. Collaborate with stakeholders to implement CI/CD pipelines for AI model deployment. Provide training and support to end-users and teams for AI-powered : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 2+ years of experience in developing and deploying AI/ML solutions with overall 4 years of experience in relevant areas. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and tools like TensorFlow, PyTorch, scikit-learn, or similar. Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Knowledge of version control systems like Git. Certification in AI/ML technologies is a plus. Skills Strong analytical and problem-solving skills. Effective communication and teamwork capabilities. Proficiency in data visualization and interpretation tools. In-depth understanding of AI ethics and responsible AI principles. Ability to work in agile development environments. Attention to detail and adaptability to changing project requirements (ref:hirist.tech) Show more Show less

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are seeking a seasoned Engineering Manager to join our dynamic team. As a first-line manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. Responsibilities Technical Leadership: Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence. Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. Understand CI/CD pipelines from build, test, to deploy phases. Team Management Lead and manage a team of software engineers, fostering a collaborative and high-performance environment. Conduct regular performance reviews, provide feedback, and support professional development. Foster a culture of service ownership and enhance team engagement. Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Coaching And Development Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies. Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team. Execution Excellence Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget. Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Align team efforts with the strategic direction of the company, understanding the big picture and business needs. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels. Make deployment decisions with appropriate risk mitigation. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. Proven track record of leading and delivering large-scale, complex software projects. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software architecture and design patterns. Strong understanding of cloud technologies and DevOps principles. Excellent problem-solving skills and attention to detail. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Preferred Qualifications Master’s degree or PhD in Computer Science, Engineering, or a related technical field. Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Knowledge of agile development methodologies. Experience in a complex, matrixed organization. Demonstrated commitment to diversity and inclusion initiatives. Familiarity with developing accessible technologies. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

Job Title : AI Engineer (Generative AI) Experience : 5-6 years overall, with a minimum of 1.5 years in Generative AI Location : Delhi Job Type : Full-time About the Role: We are looking for an experienced AI Engineer with a strong background in artificial intelligence and machine learning, particularly in Generative AI. The ideal candidate will have a deep understanding of deep learning models, natural language processing, and large language models (LLMs). This role involves designing, developing, and deploying AI solutions, optimizing model performance, and integrating AI into real-world applications. Key Responsibilities Design, develop, and deploy AI/ML models, with a focus on Generative AI applications. Research and implement state-of-the-art techniques in generative modeling (GANs, VAEs, Transformers, Diffusion Models, etc.). Fine-tune and optimize large language models (LLMs) for specific tasks. Work with unstructured data, including text, images, and audio, to build multi-modal AI solutions. Develop scalable AI pipelines and integrate models into production environments. Collaborate with cross-functional teams, including data engineers, software developers, and product managers. Ensure compliance with AI governance, ethical AI principles, and data privacy regulations. Stay up to date with the latest advancements in AI/ML and contribute to research initiatives. Required Skills And Qualifications 5-6 years of overall experience in AI/ML, with at least 1.5 years of hands-on experience in Generative AI. Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX. Experience in building, fine-tuning, and deploying LLMs and generative models. Knowledge of prompt engineering, reinforcement learning from human feedback (RLHF), and model optimization techniques. Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps best practices. Experience with NLP, computer vision, and multi-modal AI models. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications Experience in AI applications for the financial sector, healthcare, or other regulated industries. Knowledge of AI compliance, governance frameworks, and responsible AI principles. Familiarity with APIs, microservices, and deployment strategies for AI-powered applications. Experience contributing to open-source AI projects or publishing research papers. (ref:hirist.tech) Show more Show less

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are seeking a seasoned Director of Engineering (M5 Level) to join our dynamic team. As a first-line manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. Responsibilities Technical Leadership: Own the technical strategy for our Total Compensation suite, including salary banding, equity management, variable compensation, and employee-facing compensation portals. Architect scalable, secure systems capable of handling sensitive compensation data with strict access controls and audit trails. Collaborate with product, data science, and design teams to deliver intelligent compensation planning and benchmarking tools. Translating strategy into tactical execution by creating and managing an agreed-upon roadmap. Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Understand CI/CD pipelines from build, test, to deploy phases. Team Management Lead multiple engineering teams, fostering a collaborative and high-performance environment. Conduct regular performance reviews, provide feedback, and support professional development. Define team structures and capacity planning strategies aligned with key product and business milestones. Hire, retain, and grow a diverse, high-performing engineering organization. Foster a culture of service ownership and enhance team engagement. Facilitate collaboration between engineering, product, and operations to maintain alignment and focus. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Coaching And Development Mentor engineering managers and individual contributors to develop both technical and leadership skills. Establish clear performance expectations and foster a culture of feedback, accountability, and learning. Support career progression through individual development plans, training programs, and stretch opportunities. Promote knowledge sharing around compensation systems, security best practices, and data compliance. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies. Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team. Execution Excellence Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget. Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Deliver high-impact, high-accuracy features such as compensation reviews, pay equity audits, manager planning tools, and employee total rewards statements. Manage execution risk through effective sprint planning, retrospectives, and backlog grooming. Ensure high availability and performance of application services during critical business cycles. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Track and report on KPIs such as velocity, deployment frequency, incident resolution time, and customer satisfaction. Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. Proven track record of leading and delivering large-scale, complex software projects. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software architecture and design patterns. Strong understanding of cloud technologies and DevOps principles. Excellent problem-solving skills and attention to detail. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Preferred Qualifications Master’s degree or PhD in Computer Science, Engineering, or a related technical field. Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Knowledge of agile development methodologies. Experience in a complex, matrixed organization. Demonstrated commitment to diversity and inclusion initiatives. Familiarity with developing accessible technologies. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

Key Responsibilities Design, implement, and maintain highly scalable, reliable, and secure production infrastructure on Azure or Google Cloud Platform (GCP). Manage and optimize CI/CD pipelines using GitHub Actions or Jenkins to streamline deployments and ensure smooth delivery cycles. Monitor system health and application performance using APM tools such as Dynatrace, Prometheus, and Grafana. Automate infrastructure provisioning and configuration management using Terraform and Ansible. Deploy, monitor, and manage workloads running in Kubernetes clusters including Azure Kubernetes Service (AKS) and OpenShift. Implement site reliability practices including monitoring, alerting, incident response, and root cause analysis. Work closely with development teams to ensure smooth integration and delivery processes. Maintain documentation related to infrastructure, automation scripts, and DevOps processes. Troubleshoot and resolve infrastructure-related issues with speed and accuracy in a 24/7 production environment if needed. Required Skills & Experience 6+ years of total experience in DevOps, Site Reliability Engineering, or Infrastructure/Systems Engineering. At least 4 years of experience in managing production cloud environments (Azure or GCP). Hands-on experience with infrastructure-as-code tools: Terraform (4+ years), Ansible (4+ years). Proficiency with CI/CD tools: GitHub Actions or Jenkins (4+ years). Experience with Application Performance Monitoring (APM) tools: Dynatrace, Prometheus, and Grafana (3+ years). Strong experience with container orchestration platforms like Kubernetes, AKS, and OpenShift (minimum 3 years). Solid understanding of Linux system administration, networking, and scripting (Bash, Python). Strong analytical and troubleshooting skills. Excellent verbal and written communication to Have : Exposure to Docker, Helm charts, and service meshes (e.g., Istio). Experience working in Agile/Scrum teams. Certifications in Azure, GCP, or Kubernetes are a plus. (ref:hirist.tech) Show more Show less

About Payomatix Payomatix is a leading fintech company revolutionising digital payments through innovative payment orchestration and white-label solutions. We empower global businesses to scale faster with secure, seamless, and intelligent payment systems. As we continue to grow, we are looking for a skilled and motivated Full Stack Developer to join our dynamic team. If youre passionate about building scalable products, love solving real-world fintech challenges, and want to work in a fast-paced, collaborative environmentthis role is for you! Key Responsibilities Design, develop, and maintain scalable web applications across the full technology stack (frontend & backend). Collaborate with product managers, designers, and other developers to deliver robust fintech solutions. Build and integrate RESTful APIs and third-party payment gateways. Ensure the responsiveness and performance of applications across devices and platforms. Write clean, testable, and efficient code using modern development practices. Optimize applications for speed, security, and scalability. Troubleshoot, debug, and upgrade existing systems. Participate in code reviews and contribute to the improvement of development standards. Tech Stack We Use Frontend : React.js, HTML5, CSS3, JavaScript, Tailwind Backend : Node.js, Express.js, Python (optional) Databases : MongoDB, MySQL, PostgreSQL Tools & Platforms : Git, Docker, AWS, CI/CD pipelines Other : RESTful APIs, WebSockets, JWT, OAuth Requirements Bachelors degree in computer science, Engineering, or a related field (or equivalent experience). 3+ years of experience as a Full Stack Developer. Strong proficiency in JavaScript, React.js, and Node.js. Experience with database design and management (SQL & NoSQL). Understanding of security, compliance, and best practices in fintech development. Experience integrating third-party services, APIs, and payment gateways. Familiarity with DevOps practices and cloud infrastructure (preferably AWS). Strong problem-solving and communication skills. Ability to work independently and as part of a team in a fast-paced environment. Preferred (Not Mandatory) Experience in the payments or fintech industry. Familiarity with compliance standards like PCI DSS and GDPR. Understanding of blockchain or crypto payment systems. What We Offer Competitive salary & performance bonuses. Flexible work environment with remote options. Opportunity to work with a high-growth, innovative fintech company. A collaborative, transparent, and energetic team culture. Learning and growth opportunities across product, tech, and leadership. Join us at Payomatix and help shape the future of digital payments. Payomatix Candidate Selection Procedure Step-by-Step Guide To ensure we onboard only the most skilled, motivated, and culture-aligned professionals, Payomatix follows a thorough and transparent multi-stage selection process. This allows us to evaluate both technical capabilities and cultural fit, while giving candidates a clear view of what to expect. (ref:hirist.tech) Show more Show less

Key Responsibilities Provide technical support for product applications throughout the product lifecycle. Troubleshoot product-related issues reported by customers and ensure timely resolution. Analyze product performance and identify areas for optimization or improvement. Collaborate with development teams to provide feedback from the field and assist in bug fixes, patches, and feature requests. Assist with product installations, configurations, and updates, ensuring smooth implementation for clients. Prepare and maintain technical documentation, including user manuals, deployment guides, and troubleshooting procedures. Document technical requirements and solutions to common issues to create knowledge bases for customers and internal teams. Develop and present product training material for internal stakeholders and customers. Act as the primary technical liaison between customers and the product development team, ensuring customer feedback is incorporated into the product roadmap. Conduct product demos and technical presentations for customers to facilitate product adoption. Assist in responding to customer inquiries regarding product features, functionality, and best practices. Perform application testing to validate new product features, enhancements, and bug fixes. Contribute to the creation and execution of test plans, ensuring product quality and stability. Ensure product releases meet both functional and non-functional requirements, including performance, security, and usability. Work closely with the product management team to propose new features and improvements based on customer needs and industry trends. Provide insights and suggestions for enhancing product functionality to improve customer satisfaction and competitive advantage. Stay up-to-date with the latest technologies and trends to ensure the product suite remains relevant and competitive. Collaborate with engineering, quality assurance, and customer support teams to ensure smooth product delivery and issue resolution. Support the sales team by providing technical expertise during pre-sales discussions and product evaluations. Assist with product roadmap discussions and contribute to strategy planning. Support the deployment and integration of applications into customer environments. Troubleshoot and resolve issues related to deployment and integration of product applications. Work on automation scripts and tools to streamline deployment processes for both internal and customer environments. Required Qualifications : Bachelors degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent experience). Experience 2 to 6 years of experience in a technical support or application engineering role. Proven experience in troubleshooting and supporting software applications in a production environment. Experience in handling customer-facing technical support and providing solutions for complex technical problems. Exposure to product deployment and integration in customer environments. Technical Skills Solid understanding of software development processes and methodologies (Agile, Scrum, etc.). Hands-on experience with scripting languages (Python, Bash, PowerShell) for automation tasks. Familiarity with software architecture, system integration, and API management. Experience working with databases (SQL or NoSQL) and writing basic queries. Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud-based applications. Proficient in using version control systems (Git). Experience with application deployment tools and CI/CD pipelines (Jenkins, Docker, Kubernetes) is a plus. Tools & Technologies Familiarity with application monitoring and logging tools (Nagios, Splunk, New Relic). Exposure to customer support tools (Zendesk, Jira Service Desk). Experience with web technologies (HTML, CSS, JavaScript) is a plus. Basic knowledge of containerization and orchestration platforms (Docker, Kubernetes). (ref:hirist.tech) Show more Show less

Job Title : Generative AI Specialist / Senior AI Engineer Location : NCR (Gurugram) / Chennai, India Experience : 58 years total, with minimum 1 year hands-on in Generative AI About The Role We are looking for a passionate and experienced AI professional to join our AI/ML team. As a Generative AI Specialist, you will work on cutting-edge projects that involve building, fine-tuning, and deploying LLMs and generative models for real world applications in areas such as customer service, content generation, and intelligent automation. Key Responsibilities Design and implement Generative AI solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude). Fine-tune and deploy foundation models using frameworks like Hugging Face, LangChain, or custom pipelines. Work closely with product, design, and engineering teams to integrate GenAI solutions into products. Optimize models for performance, scalability, and latency. Develop evaluation frameworks to measure output quality, relevance, and safety. Stay updated with the latest in GenAI, foundation models, and responsible AI practices. Collaborate in building reusable components, frameworks, and services for GenAI use cases. Required Qualifications 58 years of total experience in software engineering / AI / data science. Minimum 1 year of hands-on experience with Generative AI (e.g., prompt engineering, LLM fine-tuning, RAG, embeddings). Strong experience with Python, PyTorch or TensorFlow, and GenAI libraries like Transformers, LangChain, LlamaIndex, or similar. Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and MLOps. Exposure to NLP tasks like summarization, Q&A, chatbots, and semantic search. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Preferred Skills Experience with Retrieval-Augmented Generation (RAG) pipelines. Understanding of Responsible AI, privacy, and model governance. Background in finance, healthcare, or enterprise AI products is a plus. Contributions to open-source GenAI projects or published research papers. (ref:hirist.tech) Show more Show less