Python Test Engineer

Company Description

KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.

Role Description

This is a full-time on-site role for an Assistant Professor in the Computer Science and Engineering (CSE) department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.

Qualifications

Strong knowledge in Computer Science and Engineering subjects.

Experience in teaching at the undergraduate and graduate levels.

Research skills and the ability to guide student projects.

Excellent written and verbal communication skills.

Proficiency in curriculum development and academic assessment.

Master's degree in Computer Science, Engineering, or a related field.

Experience in the use of digital tools and teaching technologies is an advantage.

Commitment to continuous improvement and professional development.

About the Role:

We are looking for an experienced and imaginative Generative AI Architect & Engineer to lead, design, and build cutting-edge solutions using Large Language Models (LLMs) such as OpenAI’s GPT-4/5, Google Gemini, Meta’s LLaMA, and Anthropic Claude. You will spearhead the development of a corporate-wide GenAI platform that harnesses proprietary enterprise knowledge and empowers sales, operations, and other departments with instant, contextual insights, guidance, and automation.

As the GenAI leader, you will be responsible for building scalable pipelines, integrating enterprise content repositories, fine-tuning or adapting foundational models, and creating secure and intuitive access patterns for business teams. You are passionate about creating highly usable solutions that solve real-world problems, and are fluent across architecture, implementation, and MLOps best practices.

Key Responsibilities:

• Architect and implement an end-to-end GenAI solution leveraging LLMs to serve as a contextual assistant across multiple business units.
• Develop pipelines to ingest, clean, and index enterprise knowledge (documents, wikis, CRM, chat transcripts, etc.) using RAG (Retrieval-Augmented Generation) patterns and vector databases.
• Lead fine-tuning, prompt engineering, and evaluation of LLMs, adapting open-source or commercial models to enterprise needs.
• Design a secure, scalable, API-first microservice platform, including middleware and access control, integrated into corporate systems.
• Work closely with sales, operations, and customer support teams to gather use cases and translate them into impactful GenAI features.
• Drive experimentation and benchmarking to evaluate various open and closed LLMs (OpenAI, Claude, Gemini, LLaMA, Mistral, etc.) for best performance and cost-efficiency.
• Collaborate with DevOps teams to enable MLOps workflows, CI/CD pipelines, versioning, and A/B testing for AI models.
• Contribute to technical documentation, best practices, and internal knowledge sharing.

Key Qualifications:

• 4–5+ years of hands-on experience in AI/ML product development or applied research.
• Demonstrated experience working with LLMs (OpenAI, LLaMA, Claude, Gemini, Mistral, etc.) and RAG pipelines, including vector search (FAISS, Weaviate, Pinecone, Chroma, etc.).
• Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, Transformers, Ray, HuggingFace, or equivalent.
• Deep understanding of NLP, model fine-tuning, embeddings, tokenization, and content ingestion pipelines.
• Exposure to enterprise content systems (e.g., SharePoint, Confluence, Salesforce, internal wikis, etc.) and integrating with them securely.
• Solid foundation in software architecture, microservices, API design, and cloud deployments (Azure, AWS, or GCP).
• Experience with security, RBAC, and compliance practices in enterprise-grade solutions.
• Ability to lead projects independently and mentor junior engineers or data scientists.

How to Apply:

Submit your resume and a short technical project summary or portfolio (GitHub, Hugging Face, blog posts)

Fashion Consultant – Luxury Apparel

📍 Location: Kochi

Job Overview:

We’re seeking a stylish and customer-focused Fashion Consultant for our luxury apparel store. You’ll guide clients in selecting outfits, manage counter sales, and ensure a premium shopping experience.

Key Responsibilities:

• Assist customers with styling and product selection
• Manage counter sales and achieve store targets
• Maintain visual displays and store presentation
• Provide excellent customer service and brand experience

Requirements:

• 1–3 years of experience in fashion retail (luxury preferred)
• Strong communication & interpersonal skills
• Fashion sense with good grooming
• Flexible to work retail hours

What kind of work will you get?

We are looking for a Python developer.

Examples of technical tasks:

Working on our backend SDK to implement APIs that will be consumed by the frontend widgets

Designing APIs for different auth recipes

Architecting auth flows

You will also be given non technical tasks like product brain storming, competitor analysis and writing documentation.

Note: Compensation is as per the applicant's geography

Requirements

Well versed in Python with 2+ years of professional experience

Familiar with and comfortable working with Web frameworks like FastAPI, Django and Flask

Familiar with HTTP networking in Python

Strong understanding of async and sync modes in Python

Bonus:

Contributed to open source, or have your own open source repo with a community and many github stars

Built an in-house authentication or authorization solution or worked with solutions such as Keycloak, Auth0, Ory, Okta etc

Marketing Lead (Customer Growth & Retention) - Y Combinator backed Shopify-like platform

About Merito :-

Job Description

We are looking for a skilled and ambitious Full-Stack Developer (React/React-Native, PHP, and NodeJs )to join our development team. In this role, you will be responsible for developing and implementing applications using React.js, NodeJS, PHP, and its libraries such as Redux, Redux-Saga, ExpressJs, Laravel. You will also be responsible for profiling and improving performance and documenting the codebase. To ensure success as a Full Stack developer, you should have in-depth knowledge of Javascript (ES6 or above), NodeJS, PHP 7.x, MySQL and its concepts, excellent coding skills, and a good understanding of progressive web applications.

Full Stack Developer Responsibilities:

• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Understand the past code and improve when needed.
• Develop components in a scalar way so, can be used again.
• Developing and implementing front-end + back-end architecture to support user interface concepts.
• Monitoring and improving application performance.
• Documenting application changes and developing updates.

Full Stack Developer Requirements:

• In-depth knowledge of Javascript, CSS, and HTML.
• In-depth knowledge of REACT libraries like Webpack, Redux, Redux-Saga and React Router.
• In-depth knowledge of NodeJs, ExpressJs, PHP, Laravel Framework
• Experience with User interface design and development.
• Experience with browser-based debugging and performance testing software
• Excellent troubleshooting skills.
• Build high-quality user interfaces from design mockups.
• Good project management skills and communication skills
• Collaborate with Product, Design, and other developers to understand requirements.
• Write tests to ensure high-grade code.
• Adhere to code style and code quality standards.
• Provide code review feedback to teammates.
• Good understanding of AWS infrastructure.