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About Klenty

Klenty is a Software Product company operating in the Sales Engagement category.

One of the fastest growing SAAS startups in the sales engagement space, Klenty is headquartered in California and operates from Chennai, India.

Klenty’s Sales Engagement Product helps thousands of sales teams automate all the repetitive activities involved in the sales process like sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus more on activities like building relationships and closing deals.

With over 3000 customers all over the world, we are on a mission to transform every B2B Sales team into an unstoppable force

Join us in building the future of sales engagement software

Roles & Responsibilities

1. Ensure that the application doesn’t misbehave under changing user load and that no bugs or errors reach the end-users.

2. Understands and analyze performance test requirements - Develops performance test script suite and Executes tests —> Captures —> Analyzes results.

3. Conduct system performance testing to ensure system reliability, capacity and scalability and reports performance test progress & defects.

4. Maintains performance script repository.

5. Writing test scripts of various test phases like integration, regression, system.

6. Analyzing users stories / Use cases / requirements for validity and feasibility.

7. Interact with SMEs & Business to gather PT/PE requirements.

8. Identifying tools and techniques to improve testing quality and efficiency.

9. Raise issues or concerns to the stakeholders upfront and if required come up with mitigation plan.

10. Collect all metrics (Client Side, Server Side, DB, Network and Load Balancer) and analyse the performance metrics and bottlenecks to suggest corrective actions.

11. Design and create benchmark scenarios and prepare performance benchmark documents.

12. Prepare test summary reports for management review.

13. Collaborate closely with other team members and departments and assist in other performance engineering activities as needed.

Seniority Level - Entry level

Industry - Information Technology & Services

Employment Type - Full-time

Job Functions - Product Development

Employment Type - Full-time

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

1. Job Overview: The position requires a dynamic Sales and Marketing Engineer with experience in BUILDING AUTOMATION SOLUTIONS Project Sales. The role involves driving sales, building client relationships, and promoting BUILDING AUTOMATION SOLUTIONS to achieve business objectives.

2. Responsibilities:

Sales and Marketing Strategy:

 Develop and implement comprehensive sales and marketing strategies for BUILDING AUTOMATION SOLUTIONS.

 Identify and pursue new business opportunities in target markets and industry segments.

 Collaborate with the marketing team to create compelling promotional materials.

Client Engagement:

 Build and maintain strong relationships with existing clients while actively seeking new partnerships.

 Conduct client needs assessments and propose tailored BUILDING AUTOMATION SOLUTIONS

 Conduct product demonstrations and presentations to showcase the benefits of offerings.

Technical Expertise:

 Possess in-depth technical knowledge of BUILDING AUTOMATION SOLUTIONS & ELV systems.

 Provide technical support to clients during pre-sales and post-sales phases.

 Stay abreast of industry trends to position solutions competitively.

Market Analysis:

 Conduct market research to identify industry trends, competitor activities, and market demands.

 Analyze customer feedback and market dynamics to enhance product offerings.

3. Qualifications:

 Bachelor& degree in Instrumentational / Electronics Engineering, Automation, or a related field.

 Proven experience in sales and marketing of BUILDING AUTOMATION SOLUTIONS.

 Strong technical understanding of HVAC and BUILDING AUTOMATION SOLUTIONS.

 Excellent communication and presentation skills.

 Results-oriented with a track record of meeting or exceeding sales targets.

4. Key Skills:

 Automation Sales BUILDING AUTOMATION SOLUTIONS/ELV /Project Sales

Additional Skills:

 Automation Products/Project Knowledge.

5. Benefits

 Competitive salary and commission structure.

 Health insurance and other benefits.

 Opportunities for professional development.

Experiences: 8 – 10 years

Responsibilities

·        Understand requirements and translate them to product features.

·        Participate in Scrum meetings and express the work done and the plan clearly. Participate in scrum ceremonies and clearly communicate.

• Develop applications using Front end, middleware, and database-related technologies.
• Should be hands-on in developing and implementing best practices and writing smart pieces of code.
• Coding standards should be followed, and the code should be highly performant.
• Should be able to write unit test cases using any of the frameworks and should be completely automated.
• Should have strong exposure to REST API design and principles and adhere to RAML/Swagger or Open API specification
• Should be able to do impact analysis and document the design of the components.
• Should be able to develop reusable components using proper design patterns as listed by lead/architect so that it is extensible.

The Role offers

·        An outstanding opportunity to re-imagine, redesign, and apply technology to add value to the business and operations.

·        An end-to-end project exposure across multiple technical stacks and cloud platform

·        An individual who has a passion for learning and adapts to new technologies quickly and scales to the next level easily.

• High visibility, the opportunity to interact with multiple groups within the organization, technology vendors, and implementation partners.

Essential Skills

·        4+ years of in-depth knowledge in Core Java, Spring DI, Spring MVC, REST, JMS, Hibernate, JDBC, PL/SQL

·        1+ years of experience in Spring boot, Angular 8 or above

·        2+ years of experience in RESTful HTTP services design

·        2+ years of experience in Javascript, JQuery, Bootstrap, HTML 5, CSS3

·        2+ years of experience with SQL Server, Postgre SQL writing stored procedures, performance tuning, and identifying deadlocks, transactions, and data locking/blocking scenarios

·        Working knowledge of Webpack, CLI, and Agile Scrum framework

·        Good communication and unit testing knowledge.

·        Good to have knowledge in one of the cloud platforms like AWS/Azure/PCF

·        Work experience in frameworks like JPA, Spring Core, Spring AOP, and Spring Data

·        Familiar with Continuous Integration methodologies and tools, including Jenkins

·        Good to have: Exposure to Microservices, Docker, Kubernetes, and cloud deployment 

Essential Qualification

·        MCA/equivalent master’s in computers is a must.

ROLES

We're seeking a qualified Hr asssociate to recruit sales executive in regards to sell annual car and bikes subscription products that our customers have grown to rely on. We are a growing platform and required to target customers by hiring more sales executives on daily basis.

We are open for BDA, TL, BDM profile

Experience:0-4 years

Job location: Work from home

Selection process :- Business Development Manager round.

Qualification: B.com,BBA,MBA in Hr

Salary offered: As per industry standards.

Working days:6 working days with 1 day off

Shifts:10:30am -7:30pm

Mandatory language :Hindi and English

Laptop/wi-fi:candidates to use their own laptops,wi-fi will be reimbursed.

Additional Compensation:If applicable, this will be decided on the basis of your designation.

This position is responsible for building out and maintaining SaaS Applications. This critical role creates agile software products and a better user experience for customers and allows client to set the standard for an open ecosystem of cutting-edge product offerings by working with C#, .Net, Web APIs, SQL , HTML, Javascript/Typescript, CSS3

Duties and responsibilities

Design, implement components of the Product, provide technical expertise for software solutions developed by the Company. Integrating the Equity Management platform with external partners (Brokers, Client Companies, etc.). Participate in planning sessions.

Work with Customer Support to resolve customer issues

Qualifications

Required qualifications include:

Bachelor's degree in Computer Science, or equivalent work experience

5+ years’ experience designing and developing SaaS web applications using .Net/.Net Core, C#, Angular

Experience in the full stack from database development through front-end

Experience w/database technologies – SQL, Entity Framework

Experience designing and developing Web application (ASP.NET / ASP.NET MVC) ( 5 years+ )

Experience designing and developing Web APIs (ASP.NET MVC/Core) ( 5 years+ )

Experience designing and developing responsive UI applications

Experience w/front-end technologies – HTML5, SASS/CSS, Angular, Typescript

Experience designing “thick client” applications with AngularJS/Angular ( 3 years+ )

Experience with Unit Testing and Mocking frameworks and concepts

Experience with Agile/Scrum methodologies

Experience with GIT

Strong communication skills – written and verbal

Strong collaboration skills – experience working in a small-team environment

Experience with Oracle databases, including writing/optimizing complex queries, stored procedures, and scripting is a plus

Experience with cloud technologies (Azure/AWS)

Experience building apps in financial domain is a plus

Experience with Azure DevOps

Experience with Jira

Will be a plus:

Experience with Powershell.

Experience with Nuget packages.

1. Must have Experience in React, Nodejs.
2. Experience with the CI Systems.
3. Experience with any of the Cloud Platforms Such as GCP,AWS.
4. Experience with Continuous Integration environments.
5. Experience in end-to-end testing frameworkS Like Puppeteer / Cypress / Protractor/ Other selenium testing framework.
6. Experience with JavaScript Unit Testing Frameworks Like Jest/Mocha.
7. Experience in TypeScript.

In this role, you will: 

As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for: 

• Understand business objectives and provide credible challenge to analysis requirements. 
• Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. 
• Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy. 
• Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results. 
• Ensure adherence to data management/ data governance regulations and policies. 
• Performing and testing highly complex data analytics for customer remediation. 
• Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed. 
• Investigate and ensure data integrity from multiple sources. 
• Ensure data recommended and used is the best “source of truth”. 
• Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources. 
• Must have a strong attention to detail and be able to meet high quality standards consistently. 
• Other duties as assigned by manager. 
• Willing to assist on high priority work outside of regular business hours or weekend as needed. 

Essential Qualifications:  

• Around 5+ years in similar analytics roles 
• Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis. 
• Preferred programming knowledge SQL/SAS  
• Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus. 
• Strong experience with data integration, database structures and data warehouses. 
• Persuasive written and verbal communication skills. 

Desired Qualifications: 

• Certifications in Data Science, or BI Reporting tools. 
• Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills. 
• Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities. 
• Ability to research and report on a variety of issues using problem solving skills. 
• Ability to act with integrity and a high level of professionalism with all levels of team members and management. 
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment. 
• Ability to learn the business aspects quickly, multitask and prioritize between projects. 
• Exhibits appropriate sense of urgency in managing responsibilities. 
• Ability to accurately process high volumes of work within established deadlines. 
• Available to flex schedule periodically based on business need. 
• Demonstrate strong negotiation, communication & presentation skills. 
• Demonstrates a high degree of reliability, integrity and trustworthiness. 
• Takes ownership of assignments and helps drive assignments of the team. 
• Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player. 
• Be proactive and get engaged in organizational initiatives.

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred