Technical Lead

Position: Dot Net Developer

Job Profile: We are seeking a highly motivated and experienced .NET Core Developer to join our team. The ideal candidate will have a strong background in designing, developing, and maintaining web applications and APIs using .NET Core. As part of our dynamic team, you will work on various projects that involve creating scalable and highperforming applications for our clients.

Responsibilities: 

Design, develop, and maintain RESTful APIs using .NET Core and related technologies. 

Develop, test, and deploy web applications that meet functional and non-functional

business requirements. 

Collaborate with front-end developers to integrate user-facing elements with server-side logic. 

Write clean, scalable, and efficient code following best practices in software

development. 

Participate in code reviews, design discussions, and contribute to continuous

improvement processes. 

Troubleshoot and debug applications and APIs to optimize performance. 

Work with databases such as SQL Server or NoSQL databases. 

Implement security and data protection measures. 

Collaborate with cross-functional teams, including QA, DevOps, and Project Managers, to ensure successful project delivery. 

Maintain proper documentation of code, processes, and functionality.

Skills: 

3+ years of hands-on experience with .NET Core in API and web application

development. 

Proficiency in C# and ASP.NET Core for building server-side applications. 

Strong understanding of RESTful API design, development, and best practices. 

Experience with front-end technologies such as HTML5, CSS3, and JavaScript

frameworks (e.g. React, Angular or Vue.js). 

Solid understanding of Entity Framework Core or other ORM tools. 

Experience with SQL Server or other relational databases.

Familiarity with cloud platforms like Azure or AWS is a plus. 

Knowledge of microservices architecture and containerization technologies (e.g.,

Docker, Kubernetes) is preferred. • Familiarity with version control systems like Git. 

Experience with CI/CD pipelines and automated testing frameworks is a plus. 

Strong problem-solving and analytical skills. 

Excellent communication and teamwork abilities. 

Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

Growth Consultant(Inside Sales)

Total Experience- 6 Months- 3 years(Edtech Industry Preffered)

CTC-8 LPA Max

Location- Mumbai-Fort

Notice Period- 15 days Max

What You Will Do

Own the first conversation with inbound leads across HumanEdge, Deorhi, and TaQsha.

What We Are Looking For

Strong interest in at least one of these spaces, with willingness to learn all three:

Comfort with technology. You should be able to use CRM tools, spreadsheets, call systems, WhatsApp workflows, AI assistants,

and process automation to improve performance.

Excellent spoken English. Clear, confident, polished communication is non-negotiable.

Someone who genuinely enjoys speaking on the phone and can build comfort and credibility quickly.

A consultative mindset. You are not pushy. You are persuasive because you understand, simplify, and care.

Ability to explain premium or nuanced offerings in a way that feels intelligent, human, and exciting.

Strong listening skills. You catch what customers say, what they do not say, and why it matters.

A builder mindset. You do not just follow process. You improve it.

High ownership and bias for action. Early-stage teams are messy. You should enjoy that kind of chaos.

What Great Looks Like In This Role

Customers feel understood, not handled.

Conversations feel informed and energising, not salesy.

Lead-to-payment conversion improves because customers trust the journey.

The product team gets sharp feedback from the front lines.

The funnel becomes faster, cleaner, and more scalable over time.

Job Description:We're seeking an experienced AEM Backend Developer to join our digital platforms team. The ideal candidate will have strong backend development skills in Java (primary) and/or Python, along with proven experience in designing and building scalable, maintainable Adobe Experience Manager (AEM) solutions.

Key Responsibilities:- Design, develop, and maintain AEM-based backend solutions, components, and templates

- Develop custom AEM Sling models, servlets, services, and OSGi components

- Build and integrate RESTful services and APIs to support frontend and third-party systems

- Work closely with frontend developers and AEM content authors to support dynamic content delivery

- Develop automation scripts using Java/Python for data handling, deployment, and reporting needs

- Implement AEM workflows, user permissions, and version control for content

- Troubleshoot and resolve technical issues in AEM environments

- Optimize AEM performance, scalability, and security configurations

Required Skills:- 3+ years of experience in AEM backend development

- Strong hands-on experience with Java, OSGi, Sling, and JCR

- Experience with Python for backend scripting, automation, or integration tasks

- Knowledge of AEM architecture including dispatcher, replication agents, and workflows

- Experience working with AEM APIs, servlets, event handlers, schedulers, and custom components

- Understanding of REST APIs, JSON/XML data handling

- Familiarity with Maven, Git, Jenkins, and Agile development practices

Preferred Skills:- Exposure to Adobe Experience Cloud tools like Adobe Target, Analytics, Campaign

- Working knowledge of cloud-based AEM (Adobe as a Cloud Service)

- Basic familiarity with frontend technologies (React/Angular/HTL)

What We Offer:- Competitive salary and benefits package

- Opportunity to work with a passionate and innovative team

- Hands-on experience in digital experience projects

- Professional development and growth opportunities

- Flexible working hours and generous parental leave

- Health insurance, disability insurance, and other benefits

Locations:Hyderabad, Indore, and Ahmedabad

If you're a motivated and talented AEM Backend Developer looking for a new challenge, we'd love to hear from you!

Finestar Jewellery and Diamonds Pvt Ltd we are looking for Assistant Sales Manager( International) B2B Business

Finestar Jewellery and Diamonds Pvt Ltd is a distinguished organization and a sight holder of the De Beers group of companies. We specialize in sourcing rough diamonds directly from primary sources, processing them in our fully-integrated factories, and distributing polished diamonds globally through our extensive marketing and distribution network. With over 25 years of operations, we have established a presence in 8 countries, contributing significantly to the diamond industry.

Assistant Sales Manager( International)

Cadre: Manager

Position Reports to: The COO

Location: Mumbai, BKC & USA Travel *

*only Male candidates *

*Mandatory to Have USA VISA* ( B1 or B2)

people having valid VISA only need to apply

* Shift Timings and Working Days: US Shift, 7:00 PM to 3:30 AM,

5 days working ( Monday to Friday ) Saturday & Sunday Fixed off

Primary Job Duties and Responsibilities

Sales and Business Development: Responsible for B2B marketing and sales of certified loose diamonds overseas.

This includes lead generation, client relationship management, and achieving sales targets in the USA and European markets.

Customer Engagement: Work closely with clients to understand their needs, provide product information, and ensure customer satisfaction. Resolve inquiries and complaints promptly to maintain high levels of client retention.

Market Analysis: Analyze customer requirements and market trends to tailor product offerings and strategies accordingly. Maintain awareness of competitor activities and market dynamics.

Travel Requirement: Travel approximately 6 months per year to the USA and European countries for client meetings, trade shows, and business development activities.

Have to work in Night and evening shift.

You are required to travel 06 months in a year to US and European countries Skills:- Marketing, B2B Marketing, Lead Generation and Sales Required Skills and Qualifications:

Experience in B2B marketing, lead generation, and sales within the diamond industry, preferably with certified loose diamonds.

Strong understanding of natural diamonds, including grading and certification processes. Proven ability to develop and maintain relationships with key stakeholders in the USA and European markets. Excellent communication skills, both verbal and written. Multilingual proficiency is advantageous.

Ability to work effectively in a night shift environment and demonstrate flexibility in working hours.

Detail-oriented with strong organizational skills and the ability to manage multiple priorities.

Proficiency in computer skills including CRM software, Microsoft Office Suite, and internet research tools. Compensation:

For Freshers & Experienced Candidates: CTC 50,000 to 1,00000 ( Depends on the interview ) INR per month fixed, with potential for higher based on interview performance.

*Food and Accommodation will be bear by the company*

Subject Line: Full Name and Location Body of Email: Include a brief summary (under 150 words) explaining why you want to work for Finestar Jewellery and Diamonds Pvt Ltd and highlight relevant skills and experiences

Required Skills:

• Proven development experience on smartphone platforms.
• Hands-on experience on React Native Framework, including React JS, React Native, and JavaScript.
• Extensive programming experience with at least one programming language such as Swift, Java, JavaScript.
• Deep familiarity with iOS or Android development.
• Familiarity with RESTful APIs
• Familiarity with code versioning and CI/CD tools like Git, SVM, Jenkins.
• Must have worked on at least one app that is published in AppStores.

• 6+ years of recent hands-on Java development
• Developing data pipelines in AWS or Google Cloud
• Java, Python, JavaScript programming languages
• Great understanding of designing for performance, scalability, and reliability of data intensive application
• Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
• In-depth understanding of object oriented programming concepts and design patterns
• Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
• Understanding of full software development life cycle, agile development and continuous integration
• Experience in Agile methodologies including Scrum and Kanban

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility