AI Jobs

Experience Requirements:

• 3+ years of experience building production-grade data acquisition or scraping systems using Python

Other Requirements:

• Strong experience with browser automation tools

• Experience with location-based or geospatial data extraction

• Solid understanding of HTTP and networking fundamentals

• Strong focus on data quality, validation, and reliability

Responsibilities:

• Design, build, and maintain scalable data acquisition pipelines

• Simulate location-based user journeys to capture geo-specific information

• Handle dynamic, JavaScript-heavy environments

• Build distributed crawling systems capable of ingesting millions of data points

• Implement monitoring, alerting, and automated recovery mechanisms

Benefits:

• Health insurance

• Generous vacation policy

• Learning and development budget

• Team events and company offsites

• Company laptop and devices

Experience Requirements:

• 2+ years of hands-on software engineering experience

Other Requirements:

• Strong proficiency in Node.js and React.js

• Experience with AWS, cloud infrastructure, and Postgres

• Clear communication skills

• Strong product mindset

• Prior experience building Shopify apps (Nice-to-have)

Responsibilities:

• Build, own, and enhance core product features

• Develop scalable backend components using Node.js

• Develop frontend components using React.js

• Collaborate with product and growth teams

• Work with AWS to deploy, monitor, and optimize production systems

Benefits:

• Health insurance

• Generous vacation policy

• Learning and development budget

• Team events and company offsites

• Company laptop and devices

Experience Requirements:

• 8-12+ years in B2B SaaS

• 5+ years leading CS teams

Other Requirements:

• Proven track record owning renewals + retention

• Strong customer-facing leadership

• Strong operational rigor

• Experience working closely with Sales/RevOps/Product

• Comfortable working with global customers/time zones

Responsibilities:

• Own renewals and retention outcomes

• Build a predictable expansion engine (upsell + cross-sell)

• Improve customer experience and NPS

• Build and scale the CS org

• Operate with strong systems, process, and data

Benefits:

• Competitive salary package with performance-based bonuses

• Comprehensive health insurance coverage

• Continuous learning and professional development opportunities

• Employee assistance program for mental health

• Supportive and inclusive work culture

Experience Requirements:

• 2+ years of experience in a customer support role, preferably in a B2B SaaS environment

Other Requirements:

• Technical knowledge of APIs

• Basic understanding of HTML and web technologies

• Familiarity with JSON and XML formats

• Experience using customer support platforms like Zendesk or Freshdesk

• Strong problem-solving and communication skills

Responsibilities:

• Manage customer inquiries through various support channels

• Diagnose and troubleshoot customer issues related to the platform

• Assist customers in integrating Clickpost’s platform into their existing systems

• Document and log customer interactions and technical issues in the CRM

• Identify and analyze recurring customer issues for product improvements

Benefits:

• Join a winning team

• Autonomy and trust

• Impact and growth

Education Requirements:

• Bachelor's or Master’s degree in Engineering, Business, or a related field

Experience Requirements:

• 1–3 years of experience in SaaS onboarding, client success, or product implementation (startups preferred)

Other Requirements:

• Strong communication skills

• Proficient in Advanced Excel (Pivot tables, formulas, dashboards) and Excel Macros/VBA

• Analytical, proactive, and solutions-oriented mindset

• Comfortable with travel—willing to visit client sites and warehouses

Responsibilities:

• Collaborate with ecommerce and logistics clients to understand their business needs

• Own and manage your portfolio of clients from onboarding through implementation and go-live

• Conduct regular client visits to map operational workflows

• Deliver client training, live demos, and onboarding sessions

• Work cross-functionally with Sales, Product, and Engineering teams

Education Requirements:

• Bachelor’s/Master’s degree in Computer Science or related field

Experience Requirements:

• 10–15+ years in software engineering

• 5+ years in leadership roles

Other Requirements:

• Track record in SaaS, cloud-native, and AI/ML products

• Strong knowledge of CI/CD and MLOps

Responsibilities:

• Drive cloud-native SaaS architecture and distributed systems design

• Champion CI/CD pipelines for safe and rapid delivery

• Coach engineers to own delivery and experiment

• Align engineering throughput with product roadmaps

• Ensure release reliability through monitoring and observability

Education Requirements:

• Bachelor’s in Computer Science, Engineering, or equivalent experience

Experience Requirements:

• 8–10 years of full-stack development experience

Other Requirements:

• Strong skills in React/Vue and Node.js

• Hands-on with Azure cloud deployments

• Experience building multi-tenant SaaS platforms

Responsibilities:

• Build responsive and modular UIs using React and/or Vue

• Develop APIs with Node.js and Python-based microservices

• Design MongoDB schemas and aggregation pipelines

• Deploy on Azure App Services and AKS

• Implement monitoring and observability with Azure Monitor

Benefits:

• Collaborative and growth-oriented work environment

• Competitive compensation and benefits

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Experience Requirements:

• 8–10 years of backend development experience in SaaS

Other Requirements:

• Proficiency in Node.js (REST & GraphQL)

• Strong working knowledge of Python

• Strong expertise in MongoDB and Redis

Responsibilities:

• Build scalable APIs using Node.js

• Develop microservices in Python including AI/ML integrations

• Design efficient schemas and queries in MongoDB

• Deploy services on Azure App Services and AKS

• Design event-driven and microservices architectures

Education Requirements:

• Solid computer science foundations (data structures, algorithms)

Experience Requirements:

• 12+ years of hands-on experience with Node, Python, or Go

• 5–6 years of architectural experience with deep expertise in Azure and/or AWS

Other Requirements:

• Experience with microservices architecture

• Proficiency in relational and NoSQL databases

• Working knowledge of Docker and Kubernetes

Responsibilities:

• Architect and evolve large-scale, distributed systems for low latency

• Establish platform-wide standards for scalability and resiliency

• Lead by example through active coding and prototyping

• Mentor and coach engineering teams

• Partner with product and data science teams to align technical decisions

Benefits:

• Hybrid work model (3 days office / 2 days home)

• Company-provided cab and bus services

• Competitive compensation

• Collaborative, inclusive, and ownership-driven culture

Experience Requirements:

• 5-7 years of experience in QA, test automation, or enterprise application testing

Other Requirements:

• Hands-on experience with low-code / no-code automation platforms

• Prior involvement in ERP automation projects (SAP, Oracle, or Dynamics)

• Strong understanding of automation scoping and estimation

Responsibilities:

• Own and drive automation implementation engagements from discovery to delivery

• Design scalable low-code / no-code automation frameworks

• Assess customer application ecosystems and testing pain points

• Act as a trusted technical advisor during customer workshops

• Mentor junior consultants and lead internal technical walkthroughs

Experience Requirements:

• 5+ years building ML systems, especially in computer vision

• Applied AI Expertise

• Production Experience deploying ML models

Other Requirements:

• Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow)

• Knowledge of cloud platforms (ideally AWS) and scalable data pipelines

• Ability to work across teams and communicate complex ideas clearly

• Analytical thinking and a focus on continuous improvement

Responsibilities:

• Design and optimise scalable ML systems, focusing on computer vision

• Develop and productionise deep learning models using Python

• Align research, engineering, and product goals through hands-on leadership

• Support junior team members and promote best practices

• Collaborate directly with enterprise clients for solution integration

Experience Requirements:

• Comfortable working in Java

• Experience with backend development (languages, frameworks, architectures)

Other Requirements:

• Willing to relocate to Bangalore

• Participate in interviews that use Java as the primary language

Education Requirements:

• Bachelors Degree in Computer Science or related field required

Experience Requirements:

• Minimum 2 years experience designing and implementing time series forecasting

• Minimum 2 years experience designing and implementing machine learning solutions

Other Requirements:

• Object oriented programming skills in one of Scala, Java, Python, C++

• Strong knowledge and understanding of machine learning pipelines

• Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc

• Deep learning frameworks such as PyTorch TensorFlow

• SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc.

Responsibilities:

• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Train ML/AI algorithms and test them for accuracy, precision and recall

Education Requirements:

• MS/BS in EE or CS

Experience Requirements:

• 5+ yrs developer experience required

• Required MatLab/Octave: 5 years

Other Requirements:

• Extensive C or C++ programming experience in real-time embedded systems required

• MatLab or GNU Octave DSP Algorithm development and simulation experience

• In-depth knowledge and development experience with wireless communication protocols

• Strong analysis, design and debug skills

• Ability to work independently, meet project deadlines and document work

Responsibilities:

• Design, Analyze and Develop Wireless systems

• Design wireless algorithms for wireless sensing, denoising for various real-world scenarios.

• Test and optimize the algorithms to meet real-time and performance requirements.

• Integrate sub-systems and test functionality at the system level along with other ML/AI algorithms.

• Measure and optimize to meet system-level performance and operational requirements

Education Requirements:

• Bachelor's, Master's in Computer Science or equivalent experience

Experience Requirements:

• 2+ Years of job-related experience

Other Requirements:

• Proficiency within C++ or Python

• Basic DevOps skills

• Good experience in MongoDB, Cassandra, Kafka

• Broad experience in overall system design and implementation

• Ability to design scalable systems

• An understanding of domain modeling and fluent interface

• Experience applying design patterns in concurrency scenarios

• Familiarity with Web technologies (HTML, CSS, DOM, JavaScript, and SVG)

• Proven experience in designing persistence and caching models using both SQL and NoSQL

Responsibilities:

• Design, build, and maintain data infrastructure for both production and internal research

• Design platform and tools to facilitate research

• Administer and maintain computing cluster

• Maintain production job scheduler

• Setup and Maintain authentication systems for API's

Experience Requirements:

• 2-6 years

• Minimum 2 years needed

• At a minimum of 2 years of hands-on experience in Python and Javascript

Other Requirements:

• Proficiency in Python

• Familiarity with MySQL, Redis and MongoDB

• Strong organizational and project management skills

• Excellent verbal communication skills

• Good problem-solving skills

Responsibilities:

• Designing and developing APIs

• Develop scalable systems using Python with Flask / Django

• Apply best coding practices, review peer code, maintain repositories on GIT

• Create test cases for API and module level testing

• Deploy production-grade apps/services on cloud-based environments

Benefits:

• Opportunity to work on impactful, data-centric projects

• Exposure to both data analytics and data science practices

• Gain hands-on experience with cutting-edge technologies

• Collaborative and growth-oriented work environment

Education Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field

Experience Requirements:

• Basic knowledge of data analytics concepts and methods (e.g., statistical analysis, data visualization)

• Proficiency in data analysis tools such as Excel, SQL, and Python (Pandas, NumPy, etc.)

Other Requirements:

• Strong problem-solving skills and attention to detail

• Ability to work independently and in a team environment

• Excellent communication skills with the ability to present data findings clearly

• Knowledge of data visualization tools (e.g., Tableau, Power BI) and PostgreSQL is a Bonus

• A willingness to learn new tools and technologies in data science

Responsibilities:

• Assist in the collection, processing, and cleaning of large datasets to ensure data quality and integrity

• Perform basic data analysis using tools such as Excel, SQL, and Python to generate actionable insights

• Support the development and testing of machine learning models under guidance

• Work closely with engineering and business teams to identify opportunities for data-driven improvements

• Contribute to the preparation and presentation of data reports and dashboards

Experience Requirements:

• 8–12+ years of backend or infrastructure engineering experience

• Expert-level proficiency in Golang

• Strong experience building production-grade distributed systems

• Proven track record working on infrastructure platforms, PaaS, or deep-tech systems

Other Requirements:

• Deep understanding of cloud-native architectures

• Strong experience with Kubernetes, Docker, and cluster orchestration systems

• Experience with scalable distributed databases

• Startup-minded builder comfortable with ambiguity

Responsibilities:

• Architect and develop high-performance backend services in Golang

• Design backend systems for distributed AI workloads and orchestration

• Build internal platform APIs for model deployment and job scheduling

• Design and scale microservices and event-driven architectures

• Lead architecture reviews and set backend engineering standards

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 8+ years of experience in DevOps, SRE, or Infrastructure Engineering

• At least 2+ years in a Staff/Lead-level capacity

• Proven experience designing and operating large-scale cloud-native distributed systems

• Deep expertise in Kubernetes, Docker, and container orchestration

Other Requirements:

• Strong hands-on experience with Terraform

• Advanced knowledge of CI/CD systems

• Strong proficiency in scripting and programming (Python, Go, Bash)

• Extensive experience with cloud platforms (AWS, GCP, Azure)

Responsibilities:

• Architect and evolve the infrastructure backbone for PaaS and AI runtime platforms

• Design highly available, fault-tolerant, and scalable systems

• Establish and own SRE principles including SLIs, SLOs, and error budgets

• Lead the design and implementation of Infrastructure as Code

• Design and implement end-to-end observability for distributed systems

Experience Requirements:

• 6+ years of experience in IT administration or IT operations

• Prior experience as an IT Manager or Senior IT Administrator

• Experience supporting 50–300 employee environments

Other Requirements:

• Google Workspace

• SaaS administration and access management

• Endpoint management / MDM tools

• Office networking and on-site support

Responsibilities:

• Own day-to-day IT operations for the Bangalore office

• Handle employee onboarding and offboarding

• Administer internal SaaS tools

• Own identity and access management

• Act as the primary on-site IT support and escalation point