Backend Developer

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:

• 3+ 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.

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

Expected Date of Joining Immediate/ 30 days  

What makes Techjays an inspiring place to work

At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.

We operate as part of the 1% of companies globally that can truly leverage AI the right way and not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.

Our strength lies in combining deep backend engineering with AI system design, building AInative platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced AI systems for global clients.

About the role

We are looking for a strong backend engineer who can design and build secure, scalable Python systems that power AI-native applications.

You will work on AI-enabled platforms, production systems, and scalable backend services that support LLM integrations, RAG pipelines, and intelligent workflows.

Years of Experience: 3 - 5 years

Location: Coimbatore

Key Skills

Backend Development (Familiar):

• Python
• Django / Flask
• RESTful APIs
• Websockets

Cloud Technologies (Familiar):

• AWS (EC2, S3, Lambda)
• GCP (Compute Engine, Cloud Storage, Cloud Functions)
• CI/CD pipelines with Jenkins / GitLab CI or Github Actions

Databases (Familiar):

• PostgreSQL
• MySQL
• MongoDB

AI/ML (Familiar):

• Basic understanding of Machine Learning concepts
• Assist in building and integrating Agentic AI workflows
• Familiar with RAG
• Vector Databases (Pinecone or ChromaDB or others)

Tools:

• Git
• Docker
• Linux

Roles and Responsibilities

• Develop and maintain backend services using Python and Django/Flask under guidance.
• Assist in building scalable and secure APIs and backend systems for AI-driven applications.
• Write clean, efficient, and maintainable code following best practices.
• Collaborate with cross-functional teams including frontend developers, data scientists, and product teams.
• Participate in code reviews, debugging, and performance optimization.
• Support integration of AI/ML components such as LLMs and RAG pipelines.
• Continuously learn and improve technical skills in backend and AI technologies.

What We’re Looking for Beyond Skills

• Builder mindset — you think in systems, not just tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous environments
• Clear communication and collaborative approach
• Ability to work in a fast-paced, evolving startup environment

What We Offer

• Competitive compensation
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems
• Exposure to global clients and high-impact projects
• A culture that values clarity, integrity, and continuous growth

Key Responsibilities:

● Work closely with product managers, designers, frontend developers, and other

cross-functional teams to ensure the seamless integration and alignment of frontend and

backend technologies, driving cohesive and high-quality product delivery.

● Develop and implement coding standards and best practices for the backend team.

● Document technical specifications and procedures.

● Stay up-to-date with the latest backend technologies, trends, and best practices.

● Collaborate with other departments to identify and address backend-related issues.

● Conduct code reviews and ensure code quality and consistency across the backend team.

● Create technical documentation, ensuring clarity for future development and

maintenance.

Requirements;

● Experience: 4-6 years of hands-on experience in backend development, with a strong

background in product-based companies or startups.

● Education: Bachelor’s degree or above in Computer Science or a related field.

● Programming skills: Proficient in Python and software development principles, with a

focus on clean, maintainable code, and industry best practices. Experienced in unit

testing, AI-driven code reviews, version control with Git, CI/CD pipelines using GitHub

Actions, and integrating New Relic for logging and APM into backend systems.

● Database Development: Proficiency in developing and optimizing backend systems in

both relational and non-relational database environments, such as MySQL and NoSQL

databases.

● GraphQL: Proven experience in developing and managing robust GraphQL APIs,

preferably using Apollo Server. Ability to design type-safe GraphQL schemas and

resolvers, ensuring seamless integration and high performance.

● Cloud Platforms: Familiar with AWS and experienced in Docker containerization and

orchestrating containerized systems.

● System Architecture: Proficient in system design and architecture with experience in

developing multi-tenant platforms, including security implementation, user onboarding,

payment integration, and scalable architecture.

● Linux Systems: Familiarity with Linux systems is mandatory, including deployment and

management.

● Continuous Learning: Stay current with industry trends and emerging technologies to

influence architectural decisions and drive continuous improvement.

Benefits:

● Competitive salary.

● Health insurance.

● Casual dress code.

● Dynamic & Collaboration friendly office.

● Hybrid work schedule.

Industry

• IT Services and IT Consulting

Employment Type

Full-time

• At least 3 years' experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Mandatory experience in MongoDB and MySql.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.

Greetings from Golden Eagle It Technologies Pvt Ltd !!

Designation - Go-lang Developer

Location - Indore | Onsite

Experience - 1.5- 5 years

Job Description -

Skills - Golang, Docker, , Background Jobs , RabbitMQ

Roles and Responsibilities

• Design, architect, test, automate distributed, scalable, microservices based systems
• 3+ years of experience as a application development or similar role
• Excellent knowledge on SQL technologies like MySQL and MSSQL and NoSQL technologies like MongoDB
• Experience on application development in Golang
• Knowledge of Go routines and channel
• Knowledge of Go frameworks and API routers
• Experience in building Microservices
• Experience working in a CI/CD environment with Jenkins/CircleCI
• Extensive programming experience in Golang and Node.js
• Experience with Kubernetes, Docker and gRPC
• Extensive experience with AWS
• Experience designing/building scalable REST APIs
• Fluent in approaches to security, concurrency, debugging, performance, scalability, supportability and quality
• Ability to ramp-up quickly and contribute to a production codebase
• Understand non-functional implications to design like security, data migration, deployment, etc. background in OOPS, microservices and web-based applications.
• Experience with Agile Development (SCRUM methodology, JIRA)
• Good understanding of code versioning tools such as Git, Bitbucket, Mercurial, SVN, etc. and familiarity with continuous integration

Requirements:

• Excellent analytical skills
• Sense of ownership and pride in your performance and its impact on company’s success
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills
• Ability to plan resource requirements from high level specifications
• Should be full time graduated (BE or B Tech or MCA) from reputed university

Contact Person: Yashswini Mandlik

Our backend(NodeJS+PHP) team is passionate about technology, and we love building scalable web solutions keeping performance in mind.We're looking for a full stack developer that has experience developing a variety of Web Apps using the PHP and NodeJS stack.

Role + Responsibilities:

• Work with the team to design, develop and support scalable applications        
• Developing API’s(REST), designing the database schema and implement same in web frameworks like Laravel and Express along with ORM(including migration script and seeds data)    
• Very good end-to-end debugging skills in PHP and NodejS stack.    
• Write, test, and release production-ready code.        
• Work with our DevOps team to ensure continuous deployments of our applications

Person Specification and Qualifications:

• Experience developing highly scalable services and APIs(in NodejS and PHP frameworks)    
• Knowledge of data modelling and database performance using NoSQL/SQL    
• Strong experience with PHP framework like Laravel(PHP) and JS frameworks like Express, and other Framework In nodeJS.    
• Good knowledge in code versioning(git or svn)    
• Good knowledge in html templating, javascript, html and css.    
• Good experience with code deployment on server like ubuntu, linux.    
• Knowledge of SDK integration(social media sdk like Facebook, google, etc and cloud services sdk like AWS and Azure)    
• Familiarity developing SaaS applications in AWS/Azure cloud services.        
• In-depth knowledge of designing and developing software in distributed architectures for multi-tier applications