Associate Full-Stack Developer onshore

Role Summary

We are seeking Associate Full-Stack Developers to own product engineering across the complete Software Development Life Cycle (SDLC). The successful candidates will design build test deploy and operate full-stack features end-to-end Python on the back end on the front end leveraging AI-assisted coding tools and modern Generative AI development workflows (commonly referred to as "vibe coding") to accelerate delivery. This is a hands-on role for early-career developers who want to ship production code across the full stack own quality and deployment work with cutting-edge AI tooling and contribute to enterprise software products from day one.

Key Responsibilities

Own full-stack product features across the complete SDLC: requirements analysis design development testing deployment monitoring and post-release support.

Develop test and maintain production-quality Python code for back-end services APIs and integrations.

Build responsive accessible and performant user interfaces using modern JavaScript/TypeScript and contemporary front-end tooling.

Use AI-assisted coding tools and Generative AI workflows to accelerate development prototyping and debugging what is commonly called "vibe coding."

Build prototypes and proofs-of-concept rapidly across both front-end and back-end layers to validate product hypotheses and external integrations.

Integrate with external APIs SDKs and Large Language Model platforms.

Write and maintain comprehensive test coverage: unit tests integration tests end-to-end tests and contribute to test automation strategy.

Own deployment of features through CI/CD pipelines: build automation environment promotion release management and post-deployment validation.

Monitor production systems contribute to observability and alerting diagnose and resolve incidents and participate in post-mortems.

Participate in code reviews technical design discussions and architecture decisions across both back-end and front-end concerns.

Maintain clear technical documentation API references and developer-facing materials.

Collaborate with product managers designers QA and DevOps engineers across the full delivery cycle.

Required Qualifications

03 years of professional full-stack development experience. Recent graduates with strong full-stack project portfolios are encouraged to apply.

Bachelors degree in Computer Science Software Engineering or a related technical field.

Strong proficiency in Python including familiarity with common back-end frameworks (FastAPI Flask or Django) and libraries (Pandas NumPy requests async/await patterns).

Strong proficiency in including familiarity with modern JavaScript/TypeScript hooks state management and component-based architecture.

Working knowledge of HTML5 CSS3 responsive design and modern front-end build tooling (Vite Webpack or equivalent).

Demonstrated ability to work across the complete SDLC: requirements design code test deploy support.

Hands-on experience using AI-assisted coding tools to accelerate development workflows.

Proven experience writing automated tests: unit tests (pytest Jest or equivalent) integration tests and component tests for front-end.

Experience with deployment workflows: CI/CD pipelines (GitHub Actions Jenkins or equivalent) build automation and release management.

Working knowledge of REST APIs JSON HTTP authentication patterns and common integration approaches.

Solid foundation in Git version control workflows code reviews and modern engineering tooling.

Strong analytical debugging and problem-solving skills across both back-end and front-end layers.

Excellent written and verbal communication skills with the ability to articulate technical decisions and trade-offs clearly.

Preferred Qualifications

Hands-on experience integrating with Large Language Model APIs from any major provider.

Experience with prompt engineering Retrieval-Augmented Generation (RAG) agentic workflows or LLM-powered application patterns.

Familiarity with server-side rendering or static-site generation.

Experience with end-to-end testing frameworks (Playwright Cypress or equivalent).

Familiarity with major cloud platforms containerization (Docker) and Kubernetes.

Experience with Infrastructure-as-Code (Terraform CloudFormation) observability tools (Datadog Prometheus Grafana or equivalent) and production monitoring.

Familiarity with vector databases embeddings or AI/ML toolchains.

Contributions to open-source projects technical blog posts hackathon participation or a public GitHub portfolio.

Internship or project experience in product engineering developer tools or enterprise SaaS platforms.

Exposure to design systems accessibility (WCAG) standards or component library development.