Company
Technology
FullstackEngineerJR(Backend+AI)
Neural analysis suggests this role is
optimal for Entry candidates.
“Fullstack Engineer JR (Backend + AI). Skills: Backend Development, AI Development, API Endpoints, LLM Inference. Build API endpoints. Write DRF serializers”
What You'll Achieve.
Ship production code
Industry & Context.
Debugging; Troubleshooting
What They're Looking For.
Must Have
Solid Python fundamentals, Familiarity with web APIs, Comfort with Git, Experience with relational database, Comfortable working with AI-based tools, Genuine curiosity about AI/ML, Ability to debug AI-generated code
Nice to Have
Django or Flask experience, React/TypeScript exposure, Familiarity with Docker, Experience with vector databases, Deployed project you can demo
What You'll Do.
Write DRF serializers
Extend AI agent capabilities
Write async task workers
Build distributed RQ worker logic
Debug distributed RQ worker logic
Improve test coverage
Ship frontend features
Build React/TypeScript components
Diagnose hallucinations
Fix retrieval failures
How You'll Work.
Team & Collaboration
Work with team
Process & Methodology
Agile
Full Job Description
## Description Role Overview We are looking for a motivated Junior Fullstack Engineer with a strong backend focus who is eager to build great products and grow alongside a team that embraces cutting-edge technology. You write clean, thoughtful code, care about building reliable systems, and are genuinely curious about how AI development tools (like Cursor or Claude) can make you a faster, better developer from day one. ## Key Responsibilities Build API endpoints — write DRF serializers and viewsets serving data to a React frontend, working with complex models (JSONFields, custom managers, mixin patterns). Extend AI agent capabilities — add new tools to agents; work on context engineering, and retrieval systems. Write async task workers — build and debug distributed RQ worker logic covering document parsing (PDF, Excel, PowerPoint) and LLM inference pipelines. Improve test coverage — write pytest tests with real database fixtures, mock external APIs, and catch N+1 query issues. Ship frontend features — build React/TypeScript components wired to TanStack Query, styled with SCSS Modules; work with rich text, interactive charts, and virtualized tables. Debug AI output — diagnose and fix hallucinations and retrieval failures in agent pipelines. ## Technical Requirements Required Solid Python fundamentals — classes, tracebacks, data structures, without over-relying on AI autocomplete. Familiarity with web APIs: HTTP methods, JSON serialization, request/response cycles. Comfort with Git: branching, rebasing, resolving merge conflicts. Experience with at least one relational database: SQL queries and basic schema design. Comfortable working with AI-based tools like Cursor, Claude Code, etc. Genuine curiosity about AI/ML — LLM API usage, a RAG pipeline, or serious experimentation beyond chatting with ChatGPT. Ability to debug AI-generated code — shipping broken AI output is worse than writing it yourself. Nice to Have Django or Flask experience. React/TypeScript exposure, ev
Applying for this Fullstack Engineer JR (Backend + AI) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.