Full stack developer at BrainAlive Research Pvt Ltd · Noida · 1 - 5 years · ₹10L - ₹20L / yr · Bootstrapped · Posted 9 Mar 2022

Role Description
Responsible for developing web applications as per the product requirements with a pre-approved design across multiple platforms using programming tools for Web development and Mobile application development. Work collaboratively with ML scientists, engineers, product managers, and Business SMEs in seeking details on the requirements, writing up technical specifications, proposing the tools and methods for the solution, developing the application after necessary approvals, unit testing the solution, providing testing support, and troubleshooting support for testers, participating in deployment plan, deployment and post-deployment support. Application development will involve wrapping the deep learning algorithms to provide a smart and engaging user experience.
General Requirements
- Should be familiar and have a working knowledge of different databases like MySQL, MongoDB, web servers (e.g. Apache)
- Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
- Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
- Fluent with multi-tier systems, client-server concepts.
- Experience in debugging application programs, troubleshooting techniques, root cause analysis of problems.
- Must possess the good understanding and proven techniques incorporating Data Security concepts in application development.
- Knowledge and experience with applications running on on-premises data centers and on Cloud services.
- Experience working in a Project Team and exposure to test-driven development, different project methodologies such as Agile.
- Very good communication skills with collaborative, positive, can-do, user-centered attitude in a team environment.
- Innovative thinking capabilities, ability to multitask, maintain attention to detail in pressure and time sensitive situations.
- Demonstrated ability to interpret requirements and deliver reliable, scalable, tested solutions.
- Fluent in English, reading, writing, speaking and listening.
Key Requirements
- BS / B. Tech / BE degree in Computer Science or equivalent.
- Minimum 3 years of experience in building on web technologies and frameworks (JavaScript / TypeScript / HTML / CSS / AngularJS / Electron / ReactJS) database (MySQL or MongoDB ) and backend Technologies (Python, NodeJS, Java etc)
- Experience developing desktop and mobile application

About BrainAlive Research Pvt Ltd
About
At BrainAlive, we believe in data that facilitates new ways of understanding human engagement. We are the first company to combine neuroscience and computer vision to detect, reason and determine the causality of human engagement, as we inform the way humans engage in this distracted digital world. Our product FOCII empowers online instructors/hosts with the finest and most accurate feedback on audience engagement to help create engaging content in virtual learning/webinar/meeting environment
Are you someone who likes to be at the forefront of technological innovation? Do you like to contribute at a place where you are directly impacting the company's success? And do you want to learn a variety of technologies ranging from brain computer interface engineering to deep learning algorithms? Wait no more. Apply and invite us for a discussion.
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About Venxr
VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.
About the Role
We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.
Tech Stack
Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development
Roles & Responsibilities
- End-to-End Feature Ownership
- Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
- Full-Stack Development
- Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
- Product Thinking
- Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
- Rapid Iteration
- Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
- Cross-Functional Collaboration
- Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
- System Design & Architecture
- Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
- Debugging & Problem Solving
- Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
- AI-Native Development
- Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.
Requirements
- 3–5 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
- Strong proficiency in React.js for front-end development
- Strong proficiency in Python, with hands-on experience in Django for back-end development
- Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
- Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
- Experience working directly with Product/Design teams, not just executing tickets
- Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
- Strong debugging and problem-solving skills
Good to Have
- Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
- Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
- Experience in AdTech, MarTech, or data-heavy SaaS platforms.
- Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
- Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
- Experience with data visualization libraries (Recharts, D3.js, Chart.js).
- Familiarity with compliance-aware or explainable AI design in regulated domains.
What We Look For In Candidates
- Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
- Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
- Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
- High Standards – You hold your own code to a higher bar, even when no one's checking.
- Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
- Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
- Solidarity with the Team – You show up for your teammates, no invitation needed.
- Vitality – You bring real energy and resilience that keeps you (and others) going.
- Why Join Venxr?
- Be part of a fast-growing startup that puts data at the heart of every decision.
- Opportunity to work on high-impact, real-world business challenges.
- Collaborative, transparent, and learning-oriented work environment.
- Flexible work culture with a strong focus on career development.
- Comprehensive health benefits to support your well-being.
- Team offsites and engagement activities to build stronger connections beyond work.
- Performance-based incentives and rewards recognizing your contribution and impact.
We are looking for motivated and enthusiastic candidates for a Python and Machine Learning Internship. This internship provides an opportunity to gain practical experience in Python programming, data analysis, and machine learning through hands-on projects and industry-oriented tasks.
Key Responsibilities:
- Develop and implement Python-based applications and solutions.
- Work with data preprocessing, analysis, and visualization.
- Build, train, and evaluate machine learning models.
- Apply machine learning algorithms to real-world datasets.
- Assist in developing and testing project modules.
- Debug code and improve model performance.
- Work on practical projects under the guidance of experienced trainers/mentors.
Who Can Apply:
Pursuing students from BE/BTech, BCA, BSc, MCA, MTech, MSc, Diploma and related computer science backgrounds.
Mode of internship: Offline / Online / Hybrid
What You Will Gain:
- Hands-on experience with Python and Machine Learning.
- Practical project development experience.
- Exposure to real-world datasets and ML applications.
- Guidance from experienced mentors.
- Internship Certificate and Letter of Recommendation upon successful completion.
Full Stack Developer
Experience: 3 to 5 Years
Location: Hyderabad
Interview Mode: Face-to-Face (F2F)
Work Mode: Hybrid
Employment Type: Full-Time
Note: Immediate joiners or candidates with a notice period of up to 15 days are preferred. We are only considering candidates who can attend a face-to-face interview at our office.
Role Summary;
We are looking for a Full Stack Developer (React.js + Python + AWS + AI) to design, develop, and maintain scalable web applications and AI-powered solutions. The ideal candidate must have strong experience in React.js, Python, AWS, and AI development. Hands-on AI development experience is mandatory for this role.
Mandatory AI Skill Requirement - AI development experience is mandatory. Candidates without hands-on AI development experience will not be considered.
Candidates must have practical experience in one or more of the following:
- Building AI-powered applications.
- Working with Large Language Models (LLMs).
- Prompt Engineering.
- Retrieval-Augmented Generation (RAG).
- AI agent development using LangChain, LangGraph, or similar frameworks.
- Integrating AI models through APIs such as OpenAI, Anthropic, or Gemini.
- Developing AI-enabled workflows and intelligent business applications.
Note: Experience using AI coding assistants (ChatGPT, GitHub Copilot, Claude, Gemini, etc.) alone does not meet this requirement. Candidates must have actual AI application development experience.
Key Responsibilities
- Develop and maintain full-stack web applications.
- Build responsive frontend applications using React.js.
- Develop backend REST APIs using Python (FastAPI / Django / Flask).
- Design, develop, and integrate AI-powered features into applications.
- Develop and deploy applications on AWS cloud services.
- Work with relational databases (MySQL / PostgreSQL / SQL Server).
- Integrate frontend and backend components.
- Follow Agile/Scrum development processes.
- Write clean, maintainable, and production-ready code.
- Collaborate with cross-functional teams to deliver scalable and high-quality solutions.
Required Skills (Mandatory)
- 3 to 5 years of Full Stack development experience.
- Strong experience in React.js.
- Strong backend development experience in Python.
- Hands-on experience with AWS cloud services.
- Hands-on AI development experience (Mandatory).
- Experience with LLMs, Prompt Engineering, RAG, LangChain, LangGraph, or similar AI frameworks.
- REST API development experience.
- Strong SQL database experience.
- Git and Agile development workflow.
- Good understanding of software design principles and best practices.
Good to Have
- Docker
- CI/CD pipelines
- Microservices architecture
- Kubernetes
- Experience with vector databases and AI model integrations
Preferred Qualifications
- Bachelor's degree in Computer Science or a related field.
- Strong problem-solving and analytical skills.
- Good communication and teamwork abilities.
- Passion for learning new technologies, especially AI, cloud technologies, and modern software development.
About Venxr
VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.
About the Role
We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.
Tech Stack
Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development
Roles & Responsibilities
- End-to-End Feature Ownership
- Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
- Full-Stack Development
- Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
- Product Thinking
- Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
- Rapid Iteration
- Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
- Cross-Functional Collaboration
- Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
- System Design & Architecture
- Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
- Debugging & Problem Solving
- Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
- AI-Native Development
- Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.
Requirements
- 1-2 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
- Candidates with B.Tech in CSE, AI/ML or any other equivalent educational background from Tier-1 and Tier-2 colleges will be preferred
- Strong proficiency in React.js for front-end development
- Strong proficiency in Python, with hands-on experience in Django for back-end development
- Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
- Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
- Experience working directly with Product/Design teams, not just executing tickets
- Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
- Strong debugging and problem-solving skills
Good to Have
- Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
- Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
- Experience in AdTech, MarTech, or data-heavy SaaS platforms.
- Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
- Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
- Experience with data visualization libraries (Recharts, D3.js, Chart.js).
- Familiarity with compliance-aware or explainable AI design in regulated domains.
What We Look For In Candidates
- Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
- Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
- Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
- High Standards – You hold your own code to a higher bar, even when no one's checking.
- Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
- Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
- Solidarity with the Team – You show up for your teammates, no invitation needed.
- Vitality – You bring real energy and resilience that keeps you (and others) going.
- Why Join Venxr?
- Be part of a fast-growing startup that puts data at the heart of every decision.
- Opportunity to work on high-impact, real-world business challenges.
- Collaborative, transparent, and learning-oriented work environment.
- Flexible work culture with a strong focus on career development.
- Comprehensive health benefits to support your well-being.
- Team offsites and engagement activities to build stronger connections beyond work.
- Performance-based incentives and rewards recognizing your contribution and impact.







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