Software Development Engineer

Role:

What You'll Do

Core Web Application Development

• Build production-grade web applications using

  Next.js, TypeScript, JavaScript

  with modern React patterns
• Develop scalable

  Python backends

  using

  FastAPI

  for high-performance API services
• Design and implement

  RESTful APIs

  and

  GraphQL

  endpoints for frontend-backend communication
• Architect

  microservices

  and

  serverless

  functions for modular, scalable applications

AI/ML Integration & GenAI Development

• Integrate

  LLMs, RAG systems, and AI agents

  directly into web applications with real-time streaming
• Build

  GenAI-powered features

  including chat interfaces, document processing, and intelligent automation
• Implement

  vector search, embedding pipelines, and semantic retrieval

  for enhanced user experiences
• Deploy and optimize

  AI model inference

  endpoints with low-latency requirements

Scalable Systems & Cloud Infrastructure

• Deploy applications on

  AWS

  using

  Docker, Kubernetes, Lambda, and ECS

• Implement

  auto-scaling, load balancing,

  and

  monitoring

  for high-traffic applications
• Design

  event-driven architectures

  with

  Redis, SQS, and real-time messaging

• Optimize

  database performance

  across

  PostgreSQL, MongoDB, and vector databases

Code Quality & Engineering Excellence

• Conduct thorough

  code reviews

  and maintain

  clean, testable code

  with comprehensive documentation
• Implement

  CI/CD pipelines

  with automated testing, deployment, and quality gates
• Lead

  architectural decisions

  for scalable, maintainable full-stack systems
• Mentor team members on

  best practices

  and

  design patterns

Must-Have Qualifications

Core Development Experience

• 1 years

  in production web application development with proven scalability achievements

• TypeScript/JavaScript Mastery:

  Expert-level proficiency with

  Next.js, React, and modern web standards

• Python Backend Expertise:

  Strong experience with

  FastAPI, async programming, and API design

• Database Proficiency:

  Production experience with

  SQL, NoSQL, and vector databases

AI/ML Integration Skills

• LLM Integration:

  Hands-on experience building applications with

  OpenAI, Anthropic, or open-source LLMs

• RAG Systems:

  Proven track record implementing

  retrieval-augmented generation

  in web applications

• AI Agents:

  Experience integrating

  autonomous agents, tool calling, and workflow orchestration

• Vector Search:

  Practical knowledge of

  embedding models, similarity search, and semantic retrieval

Cloud & DevOps

• AWS Expertise:

  Production deployments using

  EC2, Lambda, RDS, S3, and container services

• Containerization:

  Proficiency with

  Docker, Kubernetes,

  and

  serverless architectures

• Monitoring:

  Experience with

  CloudWatch, application monitoring,

  and

  performance optimization

Engineering Rigor

• Clean Code:

  Strong adherence to

  SOLID principles, testing frameworks,

  and

  code quality standards

• Version Control:

  Advanced

  Git workflows, branching strategies,

  and

  collaborative development

• Problem Solving:

  Demonstrated ability to

  debug complex systems

  and

  optimize performance

Critical Requirements - High Weightage

Open Source & Live Projects

• Active GitHub portfolio

  showcasing full-stack applications with AI/ML integration

• Open source contributions

  to web frameworks, AI tools, or developer libraries

• Live project demonstrations

  - must present production applications you've built and deployed

• Clean, documented code

  that demonstrates architectural thinking and best practices

Technical Assessment

We will critically evaluate your:

• System design

  for scalable web applications with AI integration

• Code quality

  through GitHub portfolio review and live coding sessions

• AI/ML integration

  capabilities through practical project demonstrations

• Ownership mindset

  and ability to take end-to-end responsibility for features

Nice-to-Have

• Contributions to

  Next.js, FastAPI,

  or

  AI/ML open-source projects

• Experience with

  real-time applications, WebSockets,

  and

  streaming data

• Knowledge of

  fine-tuning, prompt engineering,

  and

  model optimization

• Technical writing, blogging,

  or

  conference speaking

  experience

What We Offer

• Competitive salary

  and equity package with rapid growth potential

• Cutting-edge tech stack

  with latest AI/ML tools and frameworks

• Generous learning budget

  for conferences, courses, and certifications

• Fully remote

  with flexible hours and modern development environment

• Open source time

  - contribute to projects during work hours

• Direct mentorship

  from seasoned engineers and AI researchers

Applications without a comprehensive GitHub portfolio and live project demonstration will not be considered.

Join Steps AI and build the next generation of intelligent web applications that seamlessly blend cutting-edge AI capabilities with exceptional user experiences.