Quality Assurance Engineer - Java/Selenium

Role & Responsibilities

You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly

You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs

Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production

Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs

Developing software in Rust

Maintaining and improving existing rust codebases.

Company: Kredit Venture

About the company:

KreditVenture is seeking a Technical Product Manager to lead the development, strategy, and

execution of our SaaS applications built on top of Loan Origination Systems and Lending Platforms.

This role requires a strong technical background, a product ownership mindset, and the ability to

drive execution through both in-house teams and outsourced vendors. The ideal candidate will play

a key role in aligning business goals with technical implementation, ensuring a scalable, secure,

and user-centric platform.

Job Description

Job Title: Senior Manager / AVP / DVP – Technical Product Manager

Location: Mumbai (Ghatkopar West)

Compensation: Upto 25 LPA

Experience: 7-8 years (Designation will be based on experience)

Qualification: 

- Bachelor’s degree in Computer Science, Engineering, or a related field.

- An MBA is a plus.

 Roles and Responsibilities

Technology Leadership:

• Lead SaaS Platform Development – Strong expertise in full-stack development (Java, Python, MERN stack) and cloud-based architectures.
• API & Workflow Design – Drive microservices-based REST API development and implement business process automation.
• Third-Party Integrations – Enable seamless API integrations with external service providers.
• Code Quality & Best Practices – Ensure code quality, security, and performance optimization through structured audits.

Vendor & Delivery Management:

• Outsourced Vendor Oversight – Manage and collaborate with external development partners, ensuring high-quality and timely delivery.
• Delivery Governance – Define SLAs, monitor vendor performance, and proactively escalate risks.
• Quality Assurance – Ensure vendor deliverables align with product standards and integrate smoothly with internal development.

Collaboration & Stakeholder Engagement:

• Customer Insights & Feedback – Conduct user research and feedback sessions to enhance platform capabilities.
• Product Demos & GTM Support – Showcase platform features to potential clients and support sales & business development initiatives.

Platform Development & Compliance:

• Component Libraries & Workflow Automation – Develop reusable UI components and enable no-code/low-code business workflows.
• Security & Compliance – Ensure adherence to data protection, authentication, and regulatory standards (e.g., GDPR, PCI-DSS).
• Performance Monitoring & Analytics – Define KPIs and drive continuous performance optimization.

AI Engineer – Supaboard.ai

Location: Bengaluru, India (On-site, 5 days a week)

Experience Level: 2–5 years

Compensation: ₹8 – ₹16 LPA

Tech Stack: Python, TypeScript, OpenAI/Anthropic APIs, Hugging Face, Vector DBs

Employment Type: Full-time, In-office

About Supaboard.ai

Supaboard.ai is building an intelligent data analytics platform powered by modern AI systems, enabling teams to transform their raw data into dashboards, insights, and automations—instantly.

We combine analytics, automation, and AI into a single powerful engine used by fast-growing teams.

We’re looking for an AI Engineer who loves working with models, fine-tuning, LLM orchestration, and building AI-driven features that scale.

Key Responsibilities

• Fine-tune open-source LLMs (e.g., Llama, Mistral, T5, Qwen) for internal use cases like text classification, summarization, extraction, and agent workflows.
• Develop, test, and optimize prompt engineering strategies for production use-cases.
• Build and maintain pipelines for training, evaluating, and deploying custom AI models.
• Integrate models with Supaboard’s backend using Python, TypeScript, and cloud-based AI platforms.
• Work with libraries like Hugging Face Transformers, LangChain, OpenAI, Gemini, Anthropic, and vector databases (Pinecone/Weaviate).
• Create high-accuracy evaluation datasets and design automated evaluation harnesses.
• Optimize performance, latency, and reliability of AI-powered features in production.
• Collaborate with product, engineering, and data teams to design and implement AI-driven product features.

Requirements

• Strong proficiency in Python (must) and basic experience with TypeScript (preferred).
• Solid understanding of LLMs, embeddings, tokenization, model architectures, and NLP pipelines.
• Prior experience fine-tuning or training open-source models using PyTorch, Hugging Face, or similar frameworks.
• Experience calling and orchestrating external LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
• Ability to design prompts, tune them, and create deterministic and reliable chains/flows.
• Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and retrieval pipelines.
• Familiarity with cloud environments (AWS/GCP) and deploying AI workloads.
• Good understanding of evaluation metrics and experiment tracking (W&B or similar).
• Strong debugging skills and an ownership-driven mindset.

Nice to Have

• Experience building agents, tool-calling workflows, and multi-model pipelines.
• Knowledge of distributed training, quantization (GGUF/GGML), or optimization techniques (LoRA, QLoRA, PEFT).
• Experience building AI-based features for data analytics or SaaS products.
• Familiarity with FastAPI or Node-based backend services.

Why Supaboard.ai?

• Build a core part of India’s next-gen AI analytics platform.
• Work with cutting-edge open-source AI models and real-world production workloads.
• Massive ownership, high impact, and a fast-paced startup environment.
• A culture that rewards learning, curiosity, and technical growth.

Job Summary

We are seeking a dedicated and enthusiastic Female Student Advisor to join our team. The candidate will counsel students on overseas education opportunities or domestic study options, guide them through the admission process, and support them in selecting suitable courses and institutions.

Key Responsibilities

• Provide counseling to students regarding study options abroad or within the country.
• Guide students through the application, documentation, and admission processes.
• Maintain updated knowledge of international universities, courses, and visa procedures.
• Handle inquiries through calls, walk-ins, and online platforms.
• Maintain student records and follow up consistently to convert leads into admissions.
• Participate in seminars, events, and promotional activities as required.
• Achieve monthly counseling and conversion targets.

Required Qualifications & Skills

• Minimum 1 year of experience in overseas education counseling or domestic student counseling/sales.
• Strong communication and interpersonal skills.
• Ability to manage time, handle multiple tasks, and meet targets.
• Knowledge of international education systems (for overseas counseling applicants).
• Positive attitude, professional appearance, and strong customer-service mindset.

Salary Structure

• Overseas Student Counselor (1+ year experience):
• ₹25,000 – ₹30,000 per month (based on experience and countries handled)
• Sales Experience- Academic Counselor (1+ year):
• ₹20,000 – ₹25,000 per month (Training will be provided)

Additional incentives may be provided based on performance.

Responsibilities

- To analysis business requirements, prepare design and implementation recommendations and estimate development effort

- Collaborate with cross-functional teams to define, design, and ship new features

- Lead or participate in design reviews, code reviews and architecture evolution discussions

- Unit-test code for robustness, including edge cases, usability, and general reliability

- Work on bug fixing and improving application performance

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Required Skills

- Experienced with front-end programming language with React JS.

- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.

- Thorough understanding of React.js and its core principles.

- Experience with popular React.JS workflows (such as Flux or Redux)

-Experience on .Net Core

-Experience in database MS SQL

What you will do?

As a Full Stack Developer, you’ll be intrumental in shaping the future of AI assistants for data teams and understand the intricacies of Large Language Models (LLMs) to optimize their usage across multiple use cases. Utilizing Django, you'll architect back-end infrastructures optimized for handling data processes and LLM interactions. Your role involves building APIs with the Django Rest Framework. With React, you'll design user-centric interfaces that seamlessly integrate with our AI assistants, ensuring that data teams have an intuitive experience. Working at the forefront of AI revolutions and pushing the boundaries of what AI can achieve in data management and analysis.  

Responsibility

1. Back-end Development: Utilize Django to architect robust back-end infrastructures. Ensure they are tailored for complex data processes and seamless LLM interactions.

2. API Design: Craft efficient and scalable APIs using the Django Rest Framework. Founding Full Stack AI Engineer

3. Front-end Development: Transform UI/UX designs into functional web pages using React. Prioritize performance and deliver seamless user experiences.

4. AI Integration: Design user interfaces that flawlessly integrate with our LLMs, AI assistants, aiming to offer data teams an intuitive and efficient interaction.

5. Innovation: Stay abreast of AI advancements. Push boundaries and explore new possibilities in data management and analysis using AI.