Mid Level Fullstack Pythonreact Engineer

Company Intelligence

This role is posted by an undisclosed tech firm (likely a startup based on the job's yagankar.com listing), focusing on AI-enabled web applications. No public company history, size, or recent news is available from search results, indicating a small, agile operation without broad visibility. They emphasize remote-first work with full-time contracts, prioritizing ownership in fast-paced environments over traditional office setups. Core values center on building scalable, production-ready code with AI integrations, as seen in responsibilities for AI-powered features.

Program Deep Dive

This is a 12-month full-time contract for a hands-on Mid-Level Fullstack Engineer, not a traditional student internship—targeted at experienced developers, but accessible to strong recent graduates with Python backend portfolios. Timeline: Posted January 30, 2026; expired February 4, 2026 (check for extensions via Indeed). Key skills required: Strong Python backend (FastAPI preferred, Django/Flask acceptable), React frontend, REST APIs, web architecture; must have used Python for backend (no exceptions). Nice-to-haves: Next.js, OpenAI/LLM integrations, startup experience. Daily responsibilities: Build/maintain Python APIs and React UIs, collaborate on system design/data models, integrate third-party services/AI features, code reviews. Learning opportunities include scaling AI web apps and independent remote work. No explicit mentorship mentioned; focus on self-starters contributing to real systems. Career progression: Contract offers impact on live products; success leads to extensions or similar AI/fullstack roles in startups.

Application Success Guide

Requirements: Proven Python backend experience (portfolio/projects essential), React proficiency, REST API work; apply only if Python backend fits—no juniors without it. Deadline: February 4, 2026 (expired; monitor Indeed for reposts). Step-by-step process:

1. Review Indeed listing and yagankar posting.
2. Submit resume/portfolio via Indeed, highlighting Python (FastAPI/Django/Flask) + React projects.
3. Expect technical screening on APIs/architecture. Common interview questions: "Design a REST API for [scenario]" (focus resource design, HTTP methods, auth); "Build a Python FastAPI endpoint consuming React data"; "Explain web architecture for AI features"; OOP in Python, error handling. No assessment centers noted; likely live coding or take-home on APIs/UI integration. Standout candidate: Portfolio with deployed Python/React apps (e.g., AI Resume Analyzer, Task Manager via FastAPI + React); GitHub with clean code/reviews.

Insider Tips

• Company values independence: Demonstrate remote work history; discuss past solo API builds or startup contributions.
• Technical > soft skills: Prioritize Python backend mastery (FastAPI routes, DB integration) and React state management over communication—prove via code samples. Soft skills like problem-solving shine in code reviews.
• Industry knowledge: Show AI/web trends—mention OpenAI SDK, REST/GraphQL, deployment (Docker basics). Reference 2026 roadmaps: FastAPI for APIs, React for scalable UIs.
• Questions to ask: "How does the team integrate LLMs into React frontends?"; "What AI features are prioritized next?"; "Code review cadence in remote setup?"—signals genuine interest.
• Red flags to avoid: Applying without Python backend (explicitly barred); vague resumes sans projects; ignoring FastAPI preference.

Practical Information

• Compensation: $500/month for 12-month full-time contract (low for mid-level; negotiate or view as entry to AI portfolio-building).
• Benefits: Fully remote, full-time; no other perks listed (typical for startup contracts).
• Duration/start: 12 months; immediate start post-hire (listing from Jan 2026).
• Networking: Build via open-source AI/Python contribs; alumni unlikely due to contract nature—leverage Indeed/yagankar for similar remote gigs. For students 18-25: Use this as portfolio booster; pair with 6-month Python roadmaps (OOP → FastAPI → deployment) to qualify. Actionable advice: If underqualified, build a FastAPI/React capstone (e.g., Weather API app) in 1-2 months per 2026 roadmaps—deploy on Render, add to GitHub. Repply if reposted; target similar remote startups for entry-level ramps.