We are seeking a motivated and confident Telecaller to join our team in Delhi. The ideal candidate will be responsible for handling calls and maintaining customer relationships.
Key Responsibilities-
- Handle inbound customer queries and resolve issues promptly.
- Maintain and update customer databases.
- Provide accurate information and ensure customer satisfaction.
- Ensure customer satisfaction and handle complaints patiently.
- Note customer responses, objections and feedback.
Requirements-
- 1-3 years of telecalling or customer service experience.
- Good communication in Hindi and English.
- Ability to handle rejection and remain motivated.
- Positive attitude, patience and persistence.
Shubham Vishwakarma
Full Stack Developer - Averlon
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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
React.js
NodeJS (Node.js)Please Apply on Below Link
https://app.ismartrecruit.com/jobDescription?x=E7pc21hcnRzaGlwaHViLmNvbV8yNF9QUk9NT1RFVVJMX2VuQ9e
Job Description
We are seeking a passionate and innovative Software Development Engineer (AI) to join our engineering team in building next-generation Maritime SaaS solutions. The ideal candidate will have hands-on experience in Agentic AI development, working with cutting-edge frameworks and contributing to the development of scalable, AI-driven products. This role involves end-to-end product development, from concept to deployment, leveraging modern programming stacks and AI frameworks.
Total Experience: 1–4 Years
Requirements
- Bachelor’s or master’s degree in computer science, Engineering, or related field.
- 1–4 years of professional software development experience.
- Proven experience in AI-driven product development.
- Strong problem-solving and analytical skills.
- Ability to work collaboratively in agile, cross-functional teams.
- Excellent communication and documentation skills.
Desired Skillset
- Agentic AI Development experience using frameworks like LangGraph, LangChain.
- MCP Server Development exposure.
- Hands-on experience in LLM-based product development.
- Proficiency in Python, with practical knowledge of AI/ML model integration.
- Strong development skills in React.js and Node.js.
- Understanding of SaaS architecture and cloud deployment practices (AWS, Azure, or GCP preferred).
- Familiarity with containerization tools (Docker, Kubernetes) is a plus.
NodeJS (Node.js)· 5 years of proven experience in developing applications using TypeScript.
· In-depth understanding of JavaScript and ES6 features.
· Hands-on experience in using NodeJS and its ecosystem.
· Good experience in building Rest APIs
· Experience using databases like PostgreSQL.
· Experience in setting up and using TypeScript compilation and linting tools.
· Experience in using YARN for creating and maintaining JavaScript packages.
· Working knowledge of Agile software development and the Scrum methodology
Python
PostgreSQLSizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)
You will be responsible for:
- Building Python scripts to deploy our AI components into pipeline and production
- Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
- Managing our daily pipeline on both on-premise servers and AWS
- Working closely with the AI engineering, backend and frontend teams
You should have the following qualities:
- Deep expertise in Python including:
- Multiprocessing / multithreaded applications
- Class-based inheritance and modules
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
- Optimal multithreading / multiprocessing strategies
- Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
- Experience in creating soft real-time processing tasks is a plus
- Expertise in Docker-based virtualization including:
- Creating & maintaining custom Docker images
- Deployment of Docker images on cloud and on-premise services
- Experience with maintaining cloud applications in AWS environments
- Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
- Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
- Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
- Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 4 years to 8 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg.
Adobe IllustratorSomeone with hands-on experience with Story Boarding, typography, Color, Vector illustration, Social Media Ads, carousels ,Image selection.
Other Design Skills, Layout Skills, Illustrations, Infographics, Creativity, Flexibility, Attention to Detail, Deadline-Oriented, Desktop Publishing Tools.
Strong liaison skills to deliver assignments in time.
Up to date with industry leading software and technologies (Illustrator, In Design, Corel Draw, Photoshop etc.)
Professionalism regarding time, costs and deadlines.
Proven graphic design skills, Backed by a strong portfolio.
• 3-6 years of experience in designing and developing secure, scalable and highly available orchestration solutions using BPM preferably Camunda, including process and rules modelling.
• Experience in PEGA and/or TIBCO BPM systems is a plus
• Worked with very complex workflows, asynchronous tasks, user tasks, event listeners and Business Central deployments and APIs
• Ability to configure BPM workflows as per client need. Experience at client location is preferred
• Strong knowledge of BPMN2.0, DMN and CMMN. Hands on workflow configuration is preferred
• Good knowledge on CI/CD, DevOps, Scrum practices
• Ability to adapt and work in an agile fast paced environment
• Collaborates with multiple teams of developers/BA’s/Designers to implement project specifications, providing workflow support and technical guidance to less experienced team members
• Very good analytical, problem solving ability, verbal and written communication skills & expertise in client demos
BA JD.
Business Analyst, NextGen Orchestration Platform
What you will do:
You will work on fulfilling Rakuten’s vision of world’s first fully virtualized telecom network, with some of the leading vendor partners in this domain.
You will be responsible to execute the role of a Business Analyst in Telecommunications network management & central automation & orchestration team; which executes inhouse software development & products engineering.
What your experience should look like:
You have worked with some of the major players in the domain and hands-on on the OSS systems for FCAPS Management (Fault, configuration, Audit, Performance and Security)
You understand virtualization technologies of SDN, are familiar with ETSI NFV MANO, ONAP standards
Broad understanding of Open Stack & Docker / Kubernetes & Microservices Architecture.
Broad understanding of Software development on an AGILE framework.
What we also look for:
Solid team player & Individual contributor.
Think from a product, end user perspective, able to understand the customer journey and propose solutions.
Ability to think design patterns to build micro service based products
Ability to work in a highly competitive, matrix organization to build and maintain successful cross domain relationships.
Certifications:
Preferred
Agile/Scrum Master certifications
Project Management certifications.
C#Designation: Sr. Game Developer
Department: Game Development Team
Location: Bangalore
Qualification: Any Graduate or Post Graduate
Experience: 3+ years of relevant experience a Unity Game developer.
Responsibilities:
1. To write efficient code and bring to life new educational games for 3-8 year olds.
2. Work with the various academic teams to understand what educational concepts are best delivered through games, and create and build innovative games through a process driven approach.
Skills:
1. High & low-level architecture, including strong object-oriented design concepts.
2. Excellent knowledge of Unity and C#
3. Experience with game physics and particle systems.
4. Perform memory and performance optimization of Unity3d
5. Design, build and maintain efficient, reusable and reliable code.
6. A strong foundation in algorithms, design patterns and data structures
7. Good problem-solving skills & communication skills
Salary: Upto 12LPA (Negotiable)
Contact Person: Ms. Sharayu Indulkar (Recruitment Team)
IMMEDIATE JOINING PREFERRED!
If you are looking for a change this is what we can promise you:
You will have challenging problems to solve
You will have flexibility and autonomy to solve problems and deliver solutions
We will provide a highly collaborative environment with skilled and super friendly teammates
We will fully support you in developing software the right way
We won't burden you with useless policies and procedures
We will provide you the tools you need to do your job right
You will be challenged to continually learn new skills and become an expert in cloud computing (over 90% of our employees are AWS Certified)
If that sounds attractive please apply! We'd love to talk to you.
Here are some more details about the position:
You will be hands-on member of the time writing test cases, creating test plans, writing automation, and executing test cases. You will work with a project manager, software development engineers, user experience and interface designers, and customer stakeholders to deliver high quality, scalable and maintainable software solutions.
Responsibilities
Work with software engineers to deliver UI-level tests as they are developing new functionality.
Perform automated and manual testing as required for the project.
Contribute in all phases of the development lifecycle.
Write and implement test cases within the test framework.
Participate in all Agile/Scrum ceremonies, including discussing and writing stories and tests to prepare for upcoming sprints.
Help prepare and produce releases of software components.
Support continuous improvement by investigating alternatives and technologies within the test area.
Drive the team towards continuous deployment.
Required Qualifications
5 years experience manually testing software.
Hands-on experience with setting up and using Selenium and other UI testing frameworks.
Knowledge of Relational Databases, including SQL to look at data.
Experience with development using Agile/Scrum
Openness to learning other technologies including front-end and back-end frameworks.
Able to assess a feature or function definition and determine if it can and should be automated.
Desired Qualifications
Cloud Platforms (Azure, AWS or Heroku)
Git
SourceTree and Bitbucket
Scrum
Project management software - Jira
Using Postman to test Rest APIs
Key Duties & Responsibilities -
- Design and Build cloud architecture/infrastructure
- Provision, maintain and administer MS Azure Cloud Environment
- Windows server administration.
- Implement and maintain cloud monitoring, auditing and network management functions.
- Optimize the processes for cloud-based data storage, backups and restores.
- Implement cloud security to protect data, applications, and infrastructure.
- Develop, maintain, and execute Configuration Management scripts.
Skills required
- Experience in server hardening best practices
- Knowledge of special security arrangements like Network security, DoS Protection, OS firewall, etc
- Ability to work with software firewalls and web application firewalls
- Log management and replication to a central server
- Ability to architect a secure deployment in Azure/Aws cloud using the native abstractions and services provided by respective cloud service providers.
- Ability to conduct a self VAPT of the network and servers, so that the environments are better prepared for external audits by customers' info sec teams and/or auditors.
- Ability to use DevOps automation to setup environments from scratch and also patch them from time to time to handle the changes resulting out of various factors e.g. VAPT audits, customer requests
- Experience building solutions using MS Azure DevOps.
- Knowledge of general networking concepts (e.g., DNS, TCP/IP, and firewalls).
- Experience development & maintenance of a CI/CD system.
- In-depth knowledge of build and deployment automation technologies.
- An attitude and ability to take ownership and deliver a high-quality product, on time.
- Experience of implementing DevOps
- Experience in DevOps Architectural decisions, tools selection, best practices.
- Constant research and learning on new tools and technologies in DevOps space.
Good experience in ITIL, Handling US/UK Clients
Good experience in Hardware Troubleshooting
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon