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We are an IIT Bombay incubated, early stage healthcare start up developing a mobile based Ai technology to help reduce health risks for women during their pregnancy. Our Founders are Harvard and Columbia University alums with extensive experience in digital health in the US and India.

Role: Back end developer ( Python + Flask/Django, Location Mumbai, Marol):

Must have:

• 1-4 years hands on experience in Core Python with preferably Flask framework for complex web and mobile applications. 
• Deployment experience
• Must have experience with Mongodb, MySQL and AWS
• Experience in Redis, Aerospike 
• Good command of API development and deployment ( G Unicorn, Supervisor, Jenkins) Algorithms, system design, OOPS concepts.
• Agility and flexibility to in start up environement with focus on customer, excellent communication skills, and high level of responsibility and responsiveness.
• Project management, scheduling, allocation and delivery.
• Proven experience in agile development, sprint planning and backlog management.

Good to Have:

Experience in Machine Learning, Dialogflow or Rasa for NLP,

Role Overview:

As a Backend Developer at LearnTube.ai, you will ship the backbone that powers 2.3 million learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.

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What You'll Do:

At LearnTube, we’re pushing the boundaries of Generative AI to revolutionize how the world learns. As a Backend Engineer, your roles and responsibilities will include:

• Ship Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
• Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
• Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
• Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
• Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
• Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
• Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
• Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.

What makes you a great fit?

Must-Haves:

• 2+ yrs Python back-end experience (FastAPI)
• Strong with Docker & container orchestration
• Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
• SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals

Nice-to-Haves

• k8s at scale, Terraform,
• Experience with AI/ML inference services (LLMs, vector DBs)
• Go / Rust for high-perf services
• Observability: Prometheus, Grafana, OpenTelemetry

About Us: 

At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:

• AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
• Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries.

Meet the Founders: 

LearnTube was founded by Shronit Ladhani and Gargi Ruparelia, who bring deep expertise in product development and ed-tech innovation. Shronit, a TEDx speaker, is an advocate for disrupting traditional learning, while Gargi’s focus on scalable AI solutions drives our mission to build an AI-first company that empowers learners to achieve career outcomes. We’re proud to be recognised by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders.

Why Work With Us? 

At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:

• Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
• Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
• Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
• Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
• Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
• Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.

• End-to-end ownership of new feature development, from design, through implementation, testing, deployment, and maintenance in production
• Translating of high-level requirements and end-user use cases into design proposals, including integration with external services and constraints of underlying service infrastructure
• Maintaining constant focus on scalability, performance and robustness of a feature, on the top of base functional implementation
• Designing and implementing logging, monitoring and alerting functions as core parts of overall software solution
• Documenting your own work and design solutions
• Decomposing complex features into smaller, short-term deliverable tasks
• Managing priorities of multiple tasks, providing up-to-date estimates for a milestone delivery

• 5+ of industry experience in technical leadership roles
• Solid knowledge of Go-Lang, Python, C/C++, SQL, shell scripting and Linux operating environment.
• End-to-end experience in design and development of highly scalable enterprise and cloud data products.
• Ability to challenge and redefine existing architectural fundamentals in order to provide next level of performance and scalability; ability to foresee post-deployment challenges.
• Hands-on experience with design and troubleshooting of scalable web services, advanced file systems, geographic replication, distributed databases and modern operating systems.
• Experience with modern DevOps technologies such as Docker and container orchestration, service deployment, monitoring and scaling
• Ability to work with multi-cultural, globally distributed teams to a common unifying product vision and closely coordinate with cross-functional teams in different time-zones.
• Passion to deliver enterprise-grade products to customers and to continuously work with engineering team to refine the product in the field.

Job Responsibilities:

Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture.

• Provide software development plans that meet future needs of clients and markets
• Evolve the new software platform and architecture by introducing new components and integrating them with existing ones
• Perform memory, cpu and resource management
• Analyze stack traces, memory profiles and production incident reports from traders and support teams
• Propose fixes, and enhancements to existing trading systems
• Adhere to release and sprint planning with the Quality Assurance Group and Project Management
• Work on a team building new solutions based on requirements and features
• Attend and participate in daily scrum meetings

Required Skills:

•  JavaScript and Python
• Multi-threaded browser and server applications
• Amazon Web Services (AWS)
• REST

2.       Proficiency with fundamental front-end languages such as HTML, CSS.

3.       Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.

4.       Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net.

5.       Good Understand with database technology such as MySQL, Oracle, and MongoDB.

Hands on experience in Python in 2.x and 3.x versions

• Developed and deployed services in AWS serverless Architecture
• Developed REST API’s using serverless framework, AWS Lambda, API Gateway
• Developed queue and notification services using AWS components - SQS, SNS
• Implemented authorization and authentication using AWS Cognito pool
• Developed Facial recognition systems using AWS Rekognition
• Hands on experience in Flask, Tornado, Quartz framework
• Hands on experience in designing and working on MicroService & Monolithic architecture
• Basic understanding of front-end technologies HTML, CSS, JavaScript, jQuery

Mongo dB experience is must