Senior Backend Developer at Edtech Comapny · Bengaluru (Bangalore) · 4 - 7 years · ₹30L - ₹40L / yr · Posted 9 Dec 2021

India's first platform to democratise access to dream jobs for all eligible aspirants
irrespective of their college, degree or network. By taking the Relevel Test, they engage in
comprehensive skill assessments, which evaluate industry relevant skills and their
job-readiness. Our evaluation is purely objective-based in conjunction with current best
practices in the industry.
We offer the excitement of an early stage startup coupled with the stability of a unicorn like
Unacademy which is a market leader in the Ed-Tech space. At Relevel, we truly value
ownership and accountability as opposed to the pedigree and background of the applicants.
We are looking at folks who are willing to learn and grow along with us in our fast paced
growth journey of going global.
If you believe in our mission of offering job seekers a fair shot at realising their dreams, we're the right place for you!
Engineering
● We use cutting edge technologies to build our products which means you get to be
updated on the latest tech stack.
● You don’t need to have experience in any of our specific technologies;we are good at
teaching our Engineers. Our diverse group of Engineers are a great team to work
with and to learn.
● We deploy changes to production multiple times a day.
● Blameless culture and a continuous learning mindset
What engineers do at the company
● Making a global platform with the scale of millions of users.
● Working directly with designers and PMs to make a world class test taking
experience.
● Building a platform for companies and writing an ML based algorithm to match
candidates and companies.
● Building an Ed-Tech product for the upskilling of candidates.
What you need to bring
● Expertise in backend frameworks/technologies like Python/Django, Golang,
Postgres, Redshift, and AWS.
● Solid coding and problem-solving skills with the ability to architect cross-team
features to refactor existing frameworks. Familiarity with design patterns is a must
too.
● The ideal person has worked on a product that they were able to drive to production
in a startup environment.
● Proficiency in building highly scalable systems
● Ownership mindset- Taking end to end ownership of backend initiatives and being
part of the core team in driving the overall growth of the organization in achieving its
vision.
Why do you want to work
● All fixed compensation structure, No variable component
● Medical insurance for you and your family
● Practo Subscription for unlimited online doctor consultation
● Ultrahuman subscription
● ESOP earning capacity every quarter
● Office pantry with food and beverage of your choice
● Cab facility post 8 pm
● Certifications/Upskilling opportunities
● Opportunity to attend and speak in conferences
● Flexible working hours including remote work option

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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.
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
This is a remote position.
Experience Level
This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.
We are looking for hands-on Software Engineers with deep expertise in Python and TypeScript, with exposure to AI/LLM systems and modern infrastructure tooling.
What You’ll Do as a Software Craftsperson
• Take full ownership of the software development lifecycle for complex, cross-functional initiatives — from design through production readiness.
• Build and maintain robust, scalable backend systems and APIs using Python and TypeScript, following clean code and software craftsmanship principles.
• Design and deliver features end-to-end, balancing scope, quality, and long-term maintainability.
• Identify technical and product issues beyond the immediate scope of work, proactively raising risks and driving solutions.
• Shape team practices around code quality, testing, tooling, and continuous improvement using DevEx and DORA principles.
• Collaborate closely with clients and internal teams to understand requirements, clarify priorities, and align on outcomes.
• Mentor and guide fellow engineers to raise overall team performance and promote a culture of learning.
• Leverage AI tools (LLMs, agentic frameworks, etc.) to accelerate design, development, testing, and delivery where applicable.
Requirements
What You’ll Bring
3–6 years of overall software engineering experience with a strong track record of owning and delivering complex production systems.
Must-Have Skills
• Python (must-have): Deep expertise in writing idiomatic, testable, production-grade Python — including advanced OOP, data structures, algorithms, and software engineering best practices.
• TypeScript (must-have): Strong proficiency in building and maintaining type-safe, scalable applications across frontend and/or backend TypeScript codebases.
• Strong system design skills: ability to architect scalable, maintainable, and observable systems with a focus on reliability and long-term operability.
• Solid engineering practices: experience with TDD, CI/CD, code reviews, refactoring, and continuous deployment in Agile or eXtreme Programming environments.
• Working knowledge of relational databases, web server ecosystems, REST/gRPC APIs, and performance optimisation.
• Experience with source control, bug tracking, user story writing, and maintaining clear technical documentation.
Good-to-Have Skills
• AI / LLM experience: hands-on exposure to building applications using LLMs (GPT, Claude, Gemini, or similar) for tasks such as document classification, entity extraction, or structured data generation.
• LLM orchestration frameworks: familiarity with LangChain, LlamaIndex, Mastra, Agno, or similar agentic frameworks.
• Prompt engineering: experience refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs.
• Vector databases and observability tooling: exposure to tools like Pinecone, PgVector, Qdrant, LangSmith, or DeepEval.
• Container orchestration and infrastructure-as-code: experience with Kubernetes, Terraform, and Docker for deploying and managing production workloads.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat — with all travel expenses covered.
Our environment is built for crafters: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. We are all lifelong learners, and our work is our passion.
Perks
• Dedicated learning & development budget
• Sponsorship for conference talks
• Comprehensive medical & term insurance
• Employee-friendly leave policies
• Home Office fund
• Medical Insurance
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.

2–4 years of experience in backend development with Python or Golang.
● Solid understanding of RESTful APIs, microservices, and distributed systems.
● Strong knowledge of data structures, algorithms, and OOPS principles.
● Hands-on experience with relational and/or NoSQL databases.
● Familiarity with Linux development, Docker, and basic cloud concepts
(AWS/GCP/Azure).
● Proficiency with Git and version control workflows.
● Familiarity with AI-powered development tools or exposure to projects involving large
language models (LLMs) is a plus.
Strong analytical and debugging skills with the ability to solve complex problems.






