Apply on Kit Job: kitjob.in/job/4517t5

Job Description
About the Role We're seeking a smart, pragmatic full-stack engineer who builds systems that scale. You'll work across the stack, Python backends and Next.js frontends, architecting and shipping production services that handle real-world growth, including integrating AI/LLM capabilities into core product features. This isn't about memorizing frameworks. It's about understanding how to build software that works reliably at scale.
What We're Looking For Core Backend Expertise Python Web Frameworks
2+ years production experience building web applications with Django, Quick API, Flask, or similar Python frameworks
Deep understanding of ORM patterns, migrations, and query optimization
Experience with REST or API frameworks in your ecosystem
Knowledge of async and background task processing (Celery, RQ, or equivalent) Scalable Architecture Principles
Understanding of building applications for horizontal scalability
Knowledge of stateless application design and why it matters
Experience with external configuration management (environment variables, config services)
Proper separation of build, release, and run stages
Understanding of backing services as attached resources (databases, queues, caches)
Experience with process management and concurrency patterns
Port binding and service independence concepts
Disposability, fast startup and graceful shutdown
Dev/prod parity mindset
Treating logs as event streams
Running admin tasks as one-off processes Database & Data Layer
Strong Postgre SQL experience
Ability to design normalized schemas and know when to denormalize
Understanding of indexing strategies and query performance
Experience with database migrations at scale
Knowledge of connection pooling and database scalability patterns API Design
RESTful API design principles and best practices
Proper HTTP method usage and status codes
API versioning strategies
Rate limiting and pagination patterns
Authentication/authorization (JWT, OAuth2, token management) AI & LLM Integration
Experience integrating LLM APIs into production applications (Open AI, Anthropic, Google Gemini, or similar)
Understanding of prompt engineering principles and structured output handling
Familiarity with common AI integration patterns: tool/function calling, retrieval-augmented generation (RAG), streaming responses




Awareness of cost management, token budgeting, and latency optimization for AI-powered features
Ability to build reliable systems around non-deterministic AI outputs (retries, fallbacks, validation) Frontend Capabilities
Next.js & React
Practical experience building user interfaces with Next.js or React
Understanding of component architecture and state management
Ability to integrate frontend applications with backend APIs
Comfortable owning frontend features, not just fixing bugs You'll split time between backend and frontend depending on project needs.
Security Fundamentals
Must demonstrate security-first thinking:
Protection against common vulnerabilities (SQL injection, XSS, CSRF, etc.)
OWASP awareness and secure coding practices
Understanding of authentication vs. authorization
Secure credential and secrets management
Input validation and sanitization mindsets
Security as design consideration, not afterthought Version Control
Git Proficiency
Strong Git workflow understanding (branching, merging, rebasing)
Experience with pull requests and code review processes
Ability to write clear, meaningful commit messages
Understanding of Git best practices for team collaboration
Familiarity with resolving merge conflicts Engineering Mindset & Problem-Solving
We care deeply about how you think, not just what you know:
Problem Decomposition: Break complex challenges into manageable pieces Trade-off Evaluation: Understand there's no perfect solution, only optimal trade-offs Scalability Thinking: Consider future growth from day one Pragmatic Decisions: Choose proven solutions over clever hacks Continuous Learning: Adapt quickly to new challenges and technologies First Principles: Question assumptions and think from fundamentals
Culture & Work Ethic What Matters to Us Attitude & Ownership
Take pride in your work and the problems you solve
Strong work ethic and commitment to delivering quality




Proactive communication about challenges and blockers
Team-first mentality while being independently productive Cultural Alignment
Ship working software, iterate based on reality
Focus on impact and user value, not just code elegance
Learn from failures, improve continuously
Help teammates grow while growing yourself Work Commitment
Full-time, Exclusive Engagement
This is a full-time position requiring 100% commitment
No concurrent employment, freelancing, or side contracts permitted
We invest heavily in our team and expect reciprocal dedication
Flexible within core hours, but fully engaged during working time We're building something significant that requires your full attention and energy.
What You'll Do
Design and build scalable Python backend services
Build and maintain Next.js frontend features
Integrate AI/LLM capabilities into production features
Architect APIs that support current needs and future growth
Optimize database schemas and queries for performance
Implement security best practices across the application stack
Write clean, maintainable, well-tested code
Participate in code reviews and architectural discussions
Deploy and monitor production systems
Debug and resolve production issues efficiently
Collaborate with team on technical decisions Ideal Candidate Profile
You're someone who:
Thinks before coding, considers scalability and security from the start
Asks why, questions requirements to understand the real problem
Owns outcomes, takes responsibility from concept to production
Communicates clearly, explains technical decisions and trade-offs
Works smart and hard, balances velocity with quality
Grows continuously, seeks feedback and improves daily
Solves problems, not just implements features
Nice to Have
Experience with Docker and containerization
Cloud platform experience (AWS, GCP, or Azure)
CI/CD pipeline setup and maintenance
Message queue experience (Rabbit MQ, Redis, Kafka)
Caching strategies (Redis, Memcached)
Monitoring and observability tools (Sentry, Data Dog, etc.)
Load balancing and reverse proxy configuration
Experience with microservices architecture
Voice AI or real-time audio/video pipeline experience (Live Kit, Web RTC)
Agent architecture patterns (tool use, multi-agent orchestration)

Apply on Kit Job: kitjob.in/job/4517t5

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