Backend Developer

Technology Stack: Next.js, Express.js, PostgresSQL, GCP

Location: Ahmedabad

About Medflix - empowering healthcare professionals for better care

Medflix (www.medflix.app/app) is a platform where healthcare professionals (doctors, medical students and more) stay updated through live talks, Q&As, support material and more. Through the platform we believe that these professionals can be empowered to deliver better care to patients (like our families) throughout the globe.

In its current (and evolving) form, it is a live learning and engagement platform seeing tremendous week-on-week growth through stellar speakers and a very active early community. The product is in the growth stages and you will be playing a key role in steering the tech to create a scalable and lovable product experience.

We are backed by startup, VC and PE veterans including Kunal Shah (CEO, Cred), Raghunandan G (Zolve, ex-TFS), Avnish Mehra (Everstone) and more.

Medflix is a platform by PlexusMD (www.plexusmd.com/app), a network trusted and loved (4.4 stars on Playstore and 4.4 on Appstore) by more than 3 lakh doctors in India and working closely with leading healthcare providers and companies like AIIMS, Jaslok, Hinduja, Apollo, HCG, Elsevier, Association of Physicians of India, Indian Association of Cardio-thoracic surgeons, Society of Nuclear Medicine, Govt of Gujarat (HFW Dept), Govt of Haryana (SIFHW), McKinsey and company, Takeda, Mankind and others.

About the Role

Tech stack (expertise in all is not required, experience in some will be sufficient):

• React / Next.js (required, at least 1 year of experience)
• Express.js (required, at least 1 year of experience)
• Familiarity with cloud services (gcp / azure / aws)
• PostgreSQL (or expertise in any relational database)
• Redis
• Docker/Kubernetes deployment (good to have)

For this role we are looking for engineers with an entrepreneurial mindset, an understanding of how startups operate and who like to get their hands dirty when unknown things come their way. You will work closely with the product team to prioritise and ship features with a predictable cadence.

As this role is full-stack, you need to have a good understanding of frontend design and be obsessed with responsiveness and pixel-perfect behaviour. On the backend side, an OCD for efficiency and optimisation is a required personality trait.

Demonstrated history of solving hard problems (frontend/backend or both) is a great-to- have.

Benefits and growth

While we ensure competitive compensation (plus ESOP options for deserving candidates), at Medflix, you will also have a strong say in how final solutions look. You will get the opportunity to learn to steer an accelerating rocket ship.

College credentials, background or years of experience are no bar for growth inside the company for enthusiasts who believe in our mission and demonstrate that passion to create a product that healthcare workers love. 

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.

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.

Summary

We are looking for an exceptional AI-native full-stack product engineer who can take product specs, prototypes, or PRDs and turn them into clean, tested, QA’d, merge-ready branches.

We are building a fast-moving software company and currently use AI coding tools heavily in our development workflow. Right now, the delivery process is: prototype review, spec clarification, implementation planning, AI-assisted coding, QA, checking what was actually built, and preparing features for final merge.

We want to have this entire workflow managed by the right engineer.

Your job will be to take a feature brief, PRD, prototype, or Loom walkthrough and own the process from:

Input → clarification → implementation plan → AI-assisted build → self-review → QA → PR → merge-ready branch.

We are looking for someone who can take ownership, not create more management work.

What You’ll Do

You will be responsible for:

• Reviewing PRDs, prototypes, tickets, or Loom walkthroughs
• Asking clear, batched clarification questions
• Creating concise implementation plans before coding
• Using AI coding tools to accelerate development
• Reviewing and improving AI-generated code
• Building full-stack product features
• Writing or updating tests where appropriate
• Running QA before handing work over
• Creating clean, reviewable pull requests
• Documenting what was built, what changed, and what risks remain
• Preparing branches that are actually ready to merge
• Communicating clearly and asynchronously

What “Done” Means

A feature is not done when the code is written. A feature is done when:

• The implementation matches the PRD/prototype
• Acceptance criteria are completed
• Code is clean and understandable
• Build/lint/type checks pass
• Relevant tests are added or updated
• Manual QA has been completed
• Screenshots or Loom walkthrough are provided when relevant
• PR description is clear
• Risks, assumptions, and deviations are documented
• The branch is ready for review/merge

Ideal Candidate

You are probably a strong fit if you are:

• An experienced full-stack engineer with strong product judgment
• Experienced with AI coding tools such as Claude Code
• Comfortable taking a vague product idea and turning it into a working feature
• Able to review AI-generated code critically
• Strong with GitHub PR workflows
• Detail-oriented with good QA discipline
• Clear in written communication
• Comfortable working in a fast-moving startup environment
• Able to work independently without needing constant hand-holding
• Good at asking the right questions early

You Are Not a Fit, please do not apply if:

• You blindly trust AI-generated code
• You need every task broken down into tiny instructions
• You say “done” without testing your work
• You create large messy PRs
• You cannot explain your own code
• You are only comfortable with narrow frontend or backend tasks
• You are not comfortable with ambiguity
• You dislike writing implementation plans or QA notes
• You require constant synchronous direction

Required Skills

Please include your experience with:

• Full-stack web development
• Frontend frameworks
• Backend/API development
• Git/GitHub
• Pull request workflow
• Testing and QA
• AI-assisted coding tools
• Debugging and self-review
• Product-focused software development
• Nice to Have
• Startup experience
• Experience as a founding engineer or product engineer
• Strong UX/product taste
• Experience with automated testing
• Experience with CI/CD
• Experience with preview deployments
• Experience turning Figma/prototypes into production features
• Experience working directly with founders

How We Work

We will usually provide one or more of:

• PRD
• Prototype
• Figma
• Loom walkthrough
• Linear/Jira/Notion ticket
• Product brief
• Screenshots
• Existing codebase

You will be expected to return:

• Clarifying questions, if needed
• Implementation plan
• Branch/PR
• QA notes
• Test results
• Screenshots/Loom if relevant
• Clear summary of what was built
• Any risks, tradeoffs, or unresolved questions

Trial Task

We will start with a paid trial task.

The trial will involve a small real feature or product improvement. You will be asked to:

• Review the brief/prototype
• Write a short implementation plan
• Build the feature
• QA it
• Open a clean PR
• Provide a Loom or written walkthrough
• Document assumptions, risks, and anything not completed

We are not just evaluating whether the code works. We are evaluating whether you can own the delivery process end-to-end and how well you leverage AI.

What Success Looks Like

Success means the team can give you a PRD or prototype and receive back a merge-ready branch without needing to manage every step.

Great output looks like:

“I reviewed the feature brief, found two ambiguities, made reasonable assumptions, implemented the core flow, added tests, QA’d happy path and edge cases, documented one tradeoff, and the branch is ready for review. Management's input is only needed on this one product decision.”

Preference will be given to candidates who can work with high ownership and potentially become a long-term product engineering partner.

To Apply, please consider answering the following questions:

• What AI coding tools do you use regularly, and how do you use them?
• Walk us through your process for turning a PRD or prototype into a merge-ready branch.
• How do you QA your own work before asking for review?
• What are the biggest risks of AI-generated code?
• Share an example of a PR, project, or product feature you built that you are proud of.
• What stack are you strongest in?
• Are you comfortable doing a paid trial task?
• What does “merge-ready” mean to you?