Embedded Firmware Engineer

🎨 UI/UX Design Internship (3 Months)

Location: [ “Remote”]

Duration: 3 Months

Stipend: ₹5,000 – ₹7,000 per month

Internship Type: / Remote

About the Role

We are looking for a passionate and creative UI/UX Design Intern to join our design team. This internship offers hands-on experience in user interface design, user experience research, and product prototyping.

You’ll collaborate with developers, product managers, and marketing teams to create intuitive and visually appealing digital experiences.

Key Responsibilities

• Assist in designing user interfaces for web and mobile applications
• Conduct user research and usability testing to understand user needs
• Create wireframes, mockups, and interactive prototypes using design tools
• Support in defining user journeys and information architecture
• Collaborate with developers to ensure design consistency during implementation
• Help maintain and improve design systems and UI components
• Stay updated with the latest UI/UX trends and best practices

Required Skills

• Proficiency in Figma, Adobe XD, or Sketch
• Basic understanding of user-centered design principles
• Creative thinking and strong attention to detail
• Good communication and teamwork skills
• Ability to translate ideas into design visuals
• Familiarity with tools like Canva, Illustrator, or Photoshop (optional but a plus)

Eligibility

• Students / Recent graduates in Design, Computer Science, Fine Arts, or related fields
• A portfolio or sample work demonstrating UI/UX projects (academic or personal)
• Available for a 3-month full-time internship
• Immediate joiners preferred

Perks & Benefits

• Internship Certificate
• Letter of Recommendation (based on performance)
• Real-world experience in UI/UX design projects
• Mentorship from experienced designers
• Opportunity for a full-time role after internship

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Background

Praan (Praan, Inc.) is an impact focused deep-tech startup democratising clean air using breakthrough filterless technology. The company is backed by top tier VCs and CXOs globally and currently operates between the United States and India. Our team puts extreme attention to detail and loves building technology that's aspirational. Praan's team and culture is positioned to empower people to solve large global problems at an accelerated pace. 

Why

Everyone worries about the dooms-day in climate change which is expected to occur in the 2050s. However, there's one doom's day which is the reality for millions of people around the world today. Air pollution takes more than 7 Million lives globally every single year. Over 5% of premature children death occur due to air pollution in developing countries. Everyone has relied on governments or experts to solve the problem, but most solutions up until today have either been too expensive or too ineffective. Praan is an attempt at making the future cleaner, healthier, and safer for the generations to come. 

Job Description

• Lead the technical sales efforts for Praan's filterless purification systems, targeting industrial clients for the MK II platform, and commercial clients for the HIVE platform
• Identify potential customers, establish and nurture relationships, and conduct product demonstrations to showcase the features and advantages of our product portfolio
• Collaborate closely with the engineering and product teams to understand technical details, product capabilities, and competitive advantages, enabling you to effectively communicate the value proposition to potential customers
• Understand customer requirements and tailor product solutions to meet their specific needs, providing technical recommendations and guidance throughout the sales process
• Develop and deliver persuasive sales presentations, proposals, and product demonstrations to key decision-makers, highlighting the benefits and ROI of our products
• Actively track and manage sales opportunities through the entire sales cycle, from lead generation to deal closure, ensuring timely follow-ups and effective communication to meet sales targets
• Provide feedback from the market to the product development teams, helping to shape future product enhancements and new offerings based on customer needs and market trends

Skill Requirements

• Past academic education in Engineering + MBA or equivallent 
• Proven track record working on engineering projects and have sold products like vibro sifters
• Past experience of 7 years to 10 years in the relevant industry
• Proven track record of successful technical sales, preferably in the B2B environment, with a focus on complex products or solutions
• Proven track record of achieving monthly/quarterly and yearly targets
• Strong leadership skills - will be managing a team of 4-5 Inside sales representatives
• Strong technical acumen and the ability to understand and explain technical concepts to both technical and non-technical audiences
• Excellent communication and presentation skills, with the ability to articulate complex ideas clearly and concisely
• Demonstrated ability to build and maintain strong relationships with customers, understanding their needs and providing effective solutions
• Self-motivated, results-oriented, and able to work independently as well as collaboratively within a cross-functional team environment
• Willingness to travel as required to meet with clients, attend trade shows, and participate in industry events.

 ​IT experience in analysis, design, development, documentation, implementing, and testing of software systems in Java, ​Spring Boot, Hibernate, and Internet technologies.

​- ​Spring Boot includes real-world experience working with ​Microservices Architecture, Plugin Services.

​- ​Strong experience in Spring Frameworks such as Spring MVC, IOC, AOP, and Spring JDBC.

​- Strong knowledge of the ​DevOps, AWS Environment, Code Versioning ​- ​Strong hands-on experience with Spring IO, Spring Boot with Thyme leaf.

​- ​Experience in implementing Java EE design patterns such as MVC, Singleton, Session Façade, DAO, DTO, and Business Delegate in the development of Multi-Tier distributed Enterprise Applications.

​- ​Good experience in developing Web Services SOAP, JAX-WS, WSDL.

​- ​Experience in core Java-Multithreading, collections, Servlets and JDBC.

​- ​​Strong knowledge on RDBMS concepts and broadly worked ​Postgres, MySQL technologies such as MongoDB

​- ​Experience in designing front-end ​technologies like ReactJS will be an add-on​

​- ​Hands-on experience with build and deployment tools including Ant / Maven, logging and Debugging using Slf4 and Log4j, and unit and integration testing using JUnit.

​- ​Experience with Use-Case design, Class, and Sequence diagrams using UML.

​- ​Excellent team player with good analytical, strategic planning, and interpersonal and communication skills. Highly motivated, enthusiastic, and self-starter.

Big Data Engineer/Data Engineer


What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge

• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries

These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation

At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment

What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily

Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!

To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0

About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.

Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.

Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP)  • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure

• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design

Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams

Preferred Immediate Joiners

• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Keep up-to-date with latest technology trends
• Communicate results and ideas to key decision makers
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design

Qualifications/Requirements:

• Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
• 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent communication skills written, verbal and presentation

Desired Experience:

• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Knowledge and experience with NLP technology
• Previous work in a start-up environment

Job Description  -

Viaan Gaming is looking for a Sr. Software Developer who is motivated to combine the art of design with the art of programming. The ideal candidate for this position will have a broad technical skill set and extensive experience in this industry. As a result, the candidate should be able to design, develop, test and deploy the products required for the company's needs. Moreover, the candidate should be able to work with other developers in determining product strategy. 

Responsibilities - Own the product : Design, Develop & Deploy  - Assume full ownership of new technology solutions - right from the requirement to release.  - Ensure Quality & sustainability of the architecture - Obsess about code quality, automated testing, continuous integration, code reviews, and documentation  - Focus on quality with continuous integration and deployment.  - Ensure the technical feasibility of UI/UX designs. - Collaborate with other team members and stakeholders. 

Required Skills 

- Mastery of the JavaScript language (ES 2017) and all the modern tooling that it requires is essential!  - Proficient in  Node Js - Express, Restify - Strong understanding of React.js, Redux, and Webpack with at least 2-4 years  experience developing software.  - Experience writing unit, integration, and functional tests, specifically for single page apps  - Proficient in design & architecting scalable products. - Expert

Knowledge of Development Tools Bitbucket, Docker & Kubernetes, Git, CI/CD with BitBucket and JIRA  - Web Server technologies:- Apache, Nginx - Understand client-server architecture, REST APIs and websocket communication.  - Good level of understanding in SCSS and CSS and familiar with responsive UI.  - Expert knowledge to handle integration & deployments Cloud computing AWS - Expert in HTTP terminologies such as Request/Response cycle, content negotiation, CORS etc  - Management of hosting environment, including database administration and scaling an application to support load changes - Optimization of the application for maximum speed and scalability  - Obsess about code quality, automated testing, continuous integration, code reviews, and documentation  - Familiarity with AWS products - Beanstalk, Elb, ECS, EC2, SNS, SQS, S3, etc.  - Great interpersonal and communication skills  - Good organizational and time-management skills 

 Qualifications ● Bachelor’s degree or equivalent in computer science / engineering